diff --git a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/duplicate.kt b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/duplicate.kt
index f88ccb65e5..84c4b1b805 100644
--- a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/duplicate.kt
+++ b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/duplicate.kt
@@ -1,17 +1,147 @@
 package org.jetbrains.kotlinx.dataframe.api
 
+import org.jetbrains.kotlinx.dataframe.DataColumn
 import org.jetbrains.kotlinx.dataframe.DataFrame
 import org.jetbrains.kotlinx.dataframe.DataRow
 import org.jetbrains.kotlinx.dataframe.RowFilter
 import org.jetbrains.kotlinx.dataframe.columns.FrameColumn
+import org.jetbrains.kotlinx.dataframe.documentation.AccessApis
+import org.jetbrains.kotlinx.dataframe.documentation.DocumentationUrls
+import org.jetbrains.kotlinx.dataframe.documentation.ExcludeFromSources
 import org.jetbrains.kotlinx.dataframe.impl.api.duplicateImpl
 import org.jetbrains.kotlinx.dataframe.impl.api.duplicateRowsImpl
 
-public fun <T> DataFrame<T>.duplicate(n: Int): FrameColumn<T> = List(n) { this }.toFrameColumn()
+/**
+ * @param [n\] The number of copies in the result, the original included. Must be greater than 0.
+ * @throws [IllegalArgumentException] if [n\] is 0 or negative.
+ */
+@ExcludeFromSources
+private interface DuplicateCountDocs
 
+/**
+ * In the example, `df` has the columns `name` and `age` and three rows:
+ * `Alice, 15`, `Bob, 20` and `Charlie, 30`.
+ */
+@ExcludeFromSources
+private interface DuplicateExampleDataDocs
+
+/**
+ * Returns a [FrameColumn] that holds this [DataFrame] [n] times.
+ *
+ * Each of the [n] cells of the column is this [DataFrame].
+ * The column has an empty name.
+ *
+ * For more information: {@include [DocumentationUrls.DuplicateOnDataFrame]}
+ *
+ * See also:
+ * - [duplicateRows][DataFrame.duplicateRows] — repeats every row of this [DataFrame] [n] times.
+ * - [concat][DataColumn.concat] — joins the copies into one [DataFrame]:
+ *   `df.duplicate(2).concat()` has all rows of `df`, followed by all rows of `df` again.
+ *
+ * ### Example
+ * @include [DuplicateExampleDataDocs]
+ * {@comment Backed by `KDoc example - DataFrame duplicate…` in DuplicateTests. }
+ * ```kotlin
+ * // A column with 3 cells, each cell holds `df`
+ * df.duplicate(3)
+ * ```
+ *
+ * @include [DuplicateCountDocs]
+ * @return A [FrameColumn] with an empty name and [n] cells, each holding this [DataFrame].
+ */
+public fun <T> DataFrame<T>.duplicate(n: Int): FrameColumn<T> = duplicateImpl(n)
+
+/**
+ * Returns a [DataFrame] where every row is repeated [n] times.
+ *
+ * The copies of a row come right after it, so the order of the rows stays the same:
+ * with [n] = 2, rows `A, B` become `A, A, B, B`.
+ * Values in column groups and frame columns are repeated together with their rows.
+ * The column names and types stay the same.
+ *
+ * Don't confuse this with [distinct][DataFrame.distinct], which removes repeated rows.
+ *
+ * For more information: {@include [DocumentationUrls.DuplicateRows]}
+ *
+ * See also:
+ * - [duplicateRows][DataFrame.duplicateRows]`(n) { filter: RowFilter<T> }` — repeats only the rows
+ *   that match a condition.
+ * - [duplicate][DataFrame.duplicate] — puts copies of the whole [DataFrame] into a [FrameColumn].
+ * - [duplicate][DataRow.duplicate] — makes a [DataFrame] out of copies of a single [DataRow].
+ *
+ * ### Example
+ * @include [DuplicateExampleDataDocs]
+ * {@comment Backed by `KDoc example - duplicateRows…` in DuplicateTests. }
+ * ```kotlin
+ * // Alice, Alice, Alice, Bob, Bob, Bob, Charlie, Charlie, Charlie
+ * df.duplicateRows(3)
+ * ```
+ *
+ * @include [DuplicateCountDocs]
+ * @return A [DataFrame] with every row repeated [n] times.
+ */
 public fun <T> DataFrame<T>.duplicateRows(n: Int): DataFrame<T> = duplicateRowsImpl(n)
 
+/**
+ * Returns a [DataFrame] where each row that matches the [filter] is repeated [n] times.
+ *
+ * Rows that do not match the [filter] appear once, as before.
+ * The copies of a row come right after it, so the order of the rows stays the same.
+ * Values in column groups and frame columns are repeated together with their rows.
+ * The column names and types stay the same.
+ *
+ * The [filter] is a [RowFilter] — a lambda that receives each [DataRow] as both `this` and `it`
+ * and returns `true` for the rows to repeat.
+ *
+ * It allows you to define conditions using the row's values directly,
+ * including through [extension properties][AccessApis.ExtensionPropertiesApi]
+ * for convenient and type-safe access.
+ *
+ * For more information: {@include [DocumentationUrls.DuplicateRows]} {@include [DocumentationUrls.DataRow.RowFilter]}
+ *
+ * See also:
+ * - [duplicateRows][DataFrame.duplicateRows]`(n: Int)` — repeats every row.
+ * - [filter][DataFrame.filter] — keeps only the rows that match a condition.
+ *
+ * ### Example
+ * @include [DuplicateExampleDataDocs]
+ * {@comment Backed by `KDoc example - duplicateRows with a condition…` in DuplicateTests. }
+ * ```kotlin
+ * // Alice, Bob, Bob, Bob, Charlie, Charlie, Charlie
+ * df.duplicateRows(3) { age > 18 }
+ * ```
+ *
+ * @param [filter] The condition that selects the rows to repeat.
+ * @include [DuplicateCountDocs]
+ * @return A [DataFrame] where the rows that match the [filter] are repeated [n] times
+ * and the other rows appear once.
+ */
 public inline fun <T> DataFrame<T>.duplicateRows(n: Int, filter: RowFilter<T>): DataFrame<T> =
     duplicateRowsImpl(n, rows().filter { filter(it, it) }.map { it.index() })
 
+/**
+ * Returns a [DataFrame] with [n] rows, each of them a copy of this [DataRow].
+ *
+ * The result has the same columns as the [DataFrame] this row comes from,
+ * column groups and frame columns included.
+ * The type of each column follows the value in this row:
+ * a nullable column whose value in this row is not `null` becomes non-nullable in the result.
+ *
+ * For more information: {@include [DocumentationUrls.DuplicateOnDataRow]}
+ *
+ * See also:
+ * - [duplicateRows][DataFrame.duplicateRows] — repeats rows inside a [DataFrame].
+ * - [duplicate][DataFrame.duplicate] — puts copies of a whole [DataFrame] into a [FrameColumn].
+ *
+ * ### Example
+ * @include [DuplicateExampleDataDocs]
+ * {@comment Backed by `KDoc example - DataRow duplicate…` in DuplicateTests. }
+ * ```kotlin
+ * // Bob, Bob, Bob
+ * df[1].duplicate(3)
+ * ```
+ *
+ * @include [DuplicateCountDocs]
+ * @return A [DataFrame] with [n] copies of this [DataRow].
+ */
 public fun <T> DataRow<T>.duplicate(n: Int): DataFrame<T> = duplicateImpl(n)
diff --git a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/documentation/DocumentationUrls.kt b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/documentation/DocumentationUrls.kt
index dbae32a286..549ed1a111 100644
--- a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/documentation/DocumentationUrls.kt
+++ b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/documentation/DocumentationUrls.kt
@@ -107,6 +107,15 @@ public interface DocumentationUrls {
     /** [See `distinctBy` on the documentation website.]({@include [Url]}/distinct.html#distinctby) */
     public typealias DistinctBy = Nothing
 
+    /** [See `duplicateRows` on the documentation website.]({@include [Url]}/duplicate.html#duplicaterows) */
+    public typealias DuplicateRows = Nothing
+
+    /** [See `duplicate` on a DataRow on the documentation website.]({@include [Url]}/duplicate.html#duplicate-on-a-datarow) */
+    public typealias DuplicateOnDataRow = Nothing
+
+    /** [See `duplicate` on a DataFrame on the documentation website.]({@include [Url]}/duplicate.html#duplicate-on-a-dataframe) */
+    public typealias DuplicateOnDataFrame = Nothing
+
     /** <a href="{@include [Url]}/flatten.html">See `flatten` on the documentation website.</a> */
     public typealias Flatten = Nothing
 
diff --git a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/impl/api/duplicate.kt b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/impl/api/duplicate.kt
index d3ac7f37f3..73cde1a470 100644
--- a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/impl/api/duplicate.kt
+++ b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/impl/api/duplicate.kt
@@ -11,21 +11,33 @@ import org.jetbrains.kotlinx.dataframe.api.forEachIndexed
 import org.jetbrains.kotlinx.dataframe.api.isFrameColumn
 import org.jetbrains.kotlinx.dataframe.api.name
 import org.jetbrains.kotlinx.dataframe.api.toDataFrame
+import org.jetbrains.kotlinx.dataframe.api.toFrameColumn
 import org.jetbrains.kotlinx.dataframe.columns.ColumnGroup
+import org.jetbrains.kotlinx.dataframe.columns.FrameColumn
 import org.jetbrains.kotlinx.dataframe.impl.owner
 import org.jetbrains.kotlinx.dataframe.index
 import org.jetbrains.kotlinx.dataframe.type
 import kotlin.reflect.full.withNullability
 
-internal fun <T> DataFrame<T>.duplicateRowsImpl(n: Int): DataFrame<T> =
-    columns()
+private fun requirePositiveDuplicates(n: Int) {
+    require(n > 0) { "Number of duplicates must be greater than 0, but was $n" }
+}
+
+internal fun <T> DataFrame<T>.duplicateImpl(n: Int): FrameColumn<T> {
+    requirePositiveDuplicates(n)
+    return List(n) { this }.toFrameColumn()
+}
+
+internal fun <T> DataFrame<T>.duplicateRowsImpl(n: Int): DataFrame<T> {
+    requirePositiveDuplicates(n)
+    return columns()
         .map { it.duplicateValuesImpl(n) }
         .toDataFrame()
         .cast()
+}
 
-internal fun <T> DataColumn<T>.duplicateValuesImpl(n: Int): DataColumn<T> {
-    require(n > 0) { "Number of duplicates must be greater than 0, but was $n" }
-    return when (this) {
+internal fun <T> DataColumn<T>.duplicateValuesImpl(n: Int): DataColumn<T> =
+    when (this) {
         is ColumnGroup<*> ->
             DataColumn
                 .createColumnGroup(
@@ -42,7 +54,6 @@ internal fun <T> DataColumn<T>.duplicateValuesImpl(n: Int): DataColumn<T> {
             }
         }
     }.cast()
-}
 
 internal fun <T> DataColumn<T>.duplicateValuesImpl(n: Int, indicesSorted: Iterable<Int>): DataColumn<T> =
     when (this) {
@@ -73,14 +84,17 @@ internal fun <T> DataColumn<T>.duplicateValuesImpl(n: Int, indicesSorted: Iterab
     }.cast()
 
 @PublishedApi
-internal fun <T> DataFrame<T>.duplicateRowsImpl(n: Int, indicesSorted: Iterable<Int>): DataFrame<T> =
-    columns()
+internal fun <T> DataFrame<T>.duplicateRowsImpl(n: Int, indicesSorted: Iterable<Int>): DataFrame<T> {
+    requirePositiveDuplicates(n)
+    return columns()
         .map { it.duplicateValuesImpl(n, indicesSorted) }
         .toDataFrame()
         .cast()
+}
 
-internal fun <T> DataRow<T>.duplicateImpl(n: Int): DataFrame<T> =
-    owner.columns().map { col ->
+internal fun <T> DataRow<T>.duplicateImpl(n: Int): DataFrame<T> {
+    requirePositiveDuplicates(n)
+    return owner.columns().map { col ->
         when (col) {
             is ColumnGroup<*> -> DataColumn.createColumnGroup(col.name, col[index].duplicateImpl(n))
 
@@ -98,3 +112,4 @@ internal fun <T> DataRow<T>.duplicateImpl(n: Int): DataFrame<T> =
             }
         }
     }.toDataFrame().cast()
+}
diff --git a/core/src/test/kotlin/org/jetbrains/kotlinx/dataframe/api/duplicate.kt b/core/src/test/kotlin/org/jetbrains/kotlinx/dataframe/api/duplicate.kt
new file mode 100644
index 0000000000..48af1dc468
--- /dev/null
+++ b/core/src/test/kotlin/org/jetbrains/kotlinx/dataframe/api/duplicate.kt
@@ -0,0 +1,192 @@
+package org.jetbrains.kotlinx.dataframe.api
+
+import io.kotest.assertions.throwables.shouldThrow
+import io.kotest.matchers.shouldBe
+import org.jetbrains.kotlinx.dataframe.DataFrame
+import org.jetbrains.kotlinx.dataframe.columns.FrameColumn
+import org.junit.Test
+import kotlin.reflect.typeOf
+
+@Suppress("ktlint:standard:argument-list-wrapping")
+class DuplicateTests {
+
+    private val df = dataFrameOf("name", "age")(
+        "Alice", 15,
+        "Bob", 20,
+        "Charlie", 30,
+    )
+
+    // region duplicateRows
+
+    @Test
+    fun `KDoc example - duplicateRows repeats every row n times, each copy next to its original`() {
+        df.duplicateRows(3) shouldBe dataFrameOf("name", "age")(
+            "Alice", 15,
+            "Alice", 15,
+            "Alice", 15,
+            "Bob", 20,
+            "Bob", 20,
+            "Bob", 20,
+            "Charlie", 30,
+            "Charlie", 30,
+            "Charlie", 30,
+        )
+    }
+
+    @Test
+    fun `KDoc example - duplicateRows with a condition repeats only matching rows and keeps the other rows once`() {
+        df.duplicateRows(3) { "age"<Int>() > 18 } shouldBe dataFrameOf("name", "age")(
+            "Alice", 15,
+            "Bob", 20,
+            "Bob", 20,
+            "Bob", 20,
+            "Charlie", 30,
+            "Charlie", 30,
+            "Charlie", 30,
+        )
+    }
+
+    @Test
+    fun `duplicateRows repeats column groups and frame columns together with their rows`() {
+        val one = dataFrameOf("x")(1)
+        val two = dataFrameOf("x")(2, 3)
+        val nested = dataFrameOf("name", "age")("Alice", 15, "Bob", 20)
+            .group("name", "age").into("person")
+            .add(columnOf(one, two).rename("frames"))
+
+        nested.duplicateRows(2) shouldBe dataFrameOf("name", "age")("Alice", 15, "Alice", 15, "Bob", 20, "Bob", 20)
+            .group("name", "age").into("person")
+            .add(columnOf(one, one, two, two).rename("frames"))
+
+        nested.duplicateRows(2) { "person"["name"]<String>() == "Bob" } shouldBe
+            dataFrameOf("name", "age")("Alice", 15, "Bob", 20, "Bob", 20)
+                .group("name", "age").into("person")
+                .add(columnOf(one, two, two).rename("frames"))
+    }
+
+    @Test
+    fun `duplicateRows keeps column names and types, nullable ones included`() {
+        val nullable = dataFrameOf("a", "b")(
+            1, null,
+            null, "x",
+        )
+
+        val duplicated = nullable.duplicateRows(2)
+
+        duplicated.columnNames() shouldBe listOf("a", "b")
+        duplicated["a"].type() shouldBe typeOf<Int?>()
+        duplicated["b"].type() shouldBe typeOf<String?>()
+        // the overload with a condition keeps the types too
+        nullable.duplicateRows(2) { index() == 0 }["a"].type() shouldBe typeOf<Int?>()
+    }
+
+    @Test
+    fun `duplicateRows rejects n that is not positive`() {
+        shouldThrow<IllegalArgumentException> { df.duplicateRows(0) }.message shouldBe
+            "Number of duplicates must be greater than 0, but was 0"
+        shouldThrow<IllegalArgumentException> { df.duplicateRows(-1) }.message shouldBe
+            "Number of duplicates must be greater than 0, but was -1"
+        // a dataframe without columns has no column to check n against
+        shouldThrow<IllegalArgumentException> { DataFrame.empty(3).duplicateRows(0) }.message shouldBe
+            "Number of duplicates must be greater than 0, but was 0"
+    }
+
+    @Test
+    fun `duplicateRows with a condition rejects n that is not positive instead of removing matching rows`() {
+        shouldThrow<IllegalArgumentException> { df.duplicateRows(0) { "age"<Int>() > 18 } }.message shouldBe
+            "Number of duplicates must be greater than 0, but was 0"
+        shouldThrow<IllegalArgumentException> { df.duplicateRows(-1) { "age"<Int>() > 18 } }.message shouldBe
+            "Number of duplicates must be greater than 0, but was -1"
+    }
+
+    @Test
+    fun `n = 1 keeps one copy of everything, the original included`() {
+        df.duplicateRows(1) shouldBe df
+        df.duplicateRows(1) { "age"<Int>() > 18 } shouldBe df
+        df[1].duplicate(1) shouldBe dataFrameOf("name", "age")("Bob", 20)
+        df.duplicate(1).values() shouldBe listOf(df)
+    }
+
+    // endregion
+
+    // region DataRow.duplicate
+
+    @Test
+    fun `KDoc example - DataRow duplicate returns a dataframe with the row repeated n times`() {
+        df[1].duplicate(3) shouldBe dataFrameOf("name", "age")(
+            "Bob", 20,
+            "Bob", 20,
+            "Bob", 20,
+        )
+    }
+
+    @Test
+    fun `DataRow duplicate repeats values of column groups and frame columns`() {
+        val one = dataFrameOf("x")(1)
+        val two = dataFrameOf("x")(2, 3)
+        val nested = dataFrameOf("name", "age")("Alice", 15, "Bob", 20)
+            .group("name", "age").into("person")
+            .add(columnOf(one, two).rename("frames"))
+
+        nested[1].duplicate(2) shouldBe dataFrameOf("name", "age")("Bob", 20, "Bob", 20)
+            .group("name", "age").into("person")
+            .add(columnOf(two, two).rename("frames"))
+    }
+
+    @Test
+    fun `DataRow duplicate makes a nullable column non-nullable when the value in the row is not null`() {
+        val nullable = dataFrameOf("a", "b")(
+            1, null,
+            null, "x",
+        )
+        nullable["a"].type() shouldBe typeOf<Int?>()
+        nullable["b"].type() shouldBe typeOf<String?>()
+
+        val duplicated = nullable[0].duplicate(2)
+
+        duplicated["a"].type() shouldBe typeOf<Int>()
+        duplicated["b"].type() shouldBe typeOf<String?>()
+    }
+
+    @Test
+    fun `DataRow duplicate rejects n that is not positive`() {
+        shouldThrow<IllegalArgumentException> { df[1].duplicate(0) }.message shouldBe
+            "Number of duplicates must be greater than 0, but was 0"
+        shouldThrow<IllegalArgumentException> { df[1].duplicate(-1) }.message shouldBe
+            "Number of duplicates must be greater than 0, but was -1"
+    }
+
+    // endregion
+
+    // region DataFrame.duplicate
+
+    @Test
+    fun `KDoc example - DataFrame duplicate returns an unnamed frame column with n copies of the dataframe`() {
+        val copies: FrameColumn<*> = df.duplicate(3)
+
+        copies.name() shouldBe ""
+        copies.values() shouldBe listOf(df, df, df)
+    }
+
+    @Test
+    fun `KDoc example - DataFrame duplicate with concat has all rows followed by all rows again`() {
+        df.duplicate(2).concat() shouldBe dataFrameOf("name", "age")(
+            "Alice", 15,
+            "Bob", 20,
+            "Charlie", 30,
+            "Alice", 15,
+            "Bob", 20,
+            "Charlie", 30,
+        )
+    }
+
+    @Test
+    fun `DataFrame duplicate rejects n that is not positive`() {
+        shouldThrow<IllegalArgumentException> { df.duplicate(0) }.message shouldBe
+            "Number of duplicates must be greater than 0, but was 0"
+        shouldThrow<IllegalArgumentException> { df.duplicate(-1) }.message shouldBe
+            "Number of duplicates must be greater than 0, but was -1"
+    }
+
+    // endregion
+}
diff --git a/docs/StardustDocs/resources/api/duplicate/duplicateDataFrame.html b/docs/StardustDocs/resources/api/duplicate/duplicateDataFrame.html
new file mode 100644
index 0000000000..8ad3822283
--- /dev/null
+++ b/docs/StardustDocs/resources/api/duplicate/duplicateDataFrame.html
@@ -0,0 +1,528 @@
+<html>
+<head>
+<style type="text/css">
+:root {
+    --background: #fff;
+    --background-odd: #f5f5f5;
+    --background-hover: #d9edfd;
+    --header-text-color: #474747;
+    --text-color: #848484;
+    --text-color-dark: #000;
+    --text-color-medium: #737373;
+    --text-color-pale: #b3b3b3;
+    --inner-border-color: #aaa;
+    --bold-border-color: #000;
+    --link-color: #296eaa;
+    --link-color-pale: #296eaa;
+    --link-hover: #1a466c;
+}
+
+:root[theme="dark"], :root [data-jp-theme-light="false"], .dataframe_dark{
+    --background: #303030;
+    --background-odd: #3c3c3c;
+    --background-hover: #464646;
+    --header-text-color: #dddddd;
+    --text-color: #b3b3b3;
+    --text-color-dark: #dddddd;
+    --text-color-medium: #b2b2b2;
+    --text-color-pale: #737373;
+    --inner-border-color: #707070;
+    --bold-border-color: #777777;
+    --link-color: #008dc0;
+    --link-color-pale: #97e1fb;
+    --link-hover: #00688e;
+}
+
+p.dataframe_description {
+    color: var(--text-color-dark);
+}
+
+table.dataframe {
+    font-family: "Helvetica Neue", Helvetica, Arial, sans-serif;
+    font-size: 12px;
+    background-color: var(--background);
+    color: var(--text-color-dark);
+    border: none;
+    border-collapse: collapse;
+}
+
+table.dataframe th, td {
+    padding: 6px;
+    border: 1px solid transparent;
+    text-align: left;
+}
+
+table.dataframe th {
+    background-color: var(--background);
+    color: var(--header-text-color);
+}
+
+table.dataframe td {
+    vertical-align: top;
+    white-space: nowrap;
+}
+
+table.dataframe th.bottomBorder {
+    border-bottom-color: var(--bold-border-color);
+}
+
+table.dataframe tbody > tr:nth-child(odd) {
+    background: var(--background-odd);
+}
+
+table.dataframe tbody > tr:nth-child(even) {
+    background: var(--background);
+}
+
+table.dataframe tbody > tr:hover {
+    background: var(--background-hover);
+}
+
+table.dataframe a {
+    cursor: pointer;
+    color: var(--link-color);
+    text-decoration: none;
+}
+
+table.dataframe tr:hover > td a {
+    color: var(--link-color-pale);
+}
+
+table.dataframe a:hover {
+    color: var(--link-hover);
+    text-decoration: underline;
+}
+
+table.dataframe img {
+    max-width: fit-content;
+}
+
+table.dataframe th.complex {
+    background-color: var(--background);
+    border: 1px solid var(--background);
+}
+
+table.dataframe .leftBorder {
+    border-left-color: var(--inner-border-color);
+}
+
+table.dataframe .rightBorder {
+    border-right-color: var(--inner-border-color);
+}
+
+table.dataframe .rightAlign {
+    text-align: right;
+}
+
+table.dataframe .expanderSvg {
+    width: 8px;
+    height: 8px;
+    margin-right: 3px;
+}
+
+table.dataframe .expander {
+    display: flex;
+    align-items: center;
+}
+
+/* formatting */
+
+table.dataframe .null {
+    color: var(--text-color-pale);
+}
+
+table.dataframe .structural {
+    color: var(--text-color-medium);
+    font-weight: bold;
+}
+
+table.dataframe .dataFrameCaption {
+    font-weight: bold;
+}
+
+table.dataframe .numbers {
+    color: var(--text-color-dark);
+}
+
+table.dataframe td:hover .formatted .structural, .null {
+    color: var(--text-color-dark);
+}
+
+table.dataframe tr:hover .formatted .structural, .null {
+    color: var(--text-color-dark);
+}
+
+
+body {
+    font-family: "JetBrains Mono",SFMono-Regular,Consolas,"Liberation Mono",Menlo,Courier,monospace;
+}       
+
+:root {
+    color: #19191C;
+    background-color: #fff;
+}
+
+:root[theme="dark"] {
+    background-color: #19191C;
+    color: #FFFFFFCC
+}
+
+details details {
+    margin-left: 20px; 
+}
+
+summary {
+    padding: 6px;
+}
+</style>
+</head>
+<body>
+<table class="dataframe" id="df_0"></table>
+
+<p class="dataframe_description"></p>
+</body>
+<script>
+(function () {
+    window.DataFrame = window.DataFrame || new (function () {
+        this.addTable = function (df) {
+            let cols = df.cols;
+            for (let i = 0; i < cols.length; i++) {
+                for (let c of cols[i].children) {
+                    cols[c].parent = i;
+                }
+            }
+            df.nrow = 0
+            for (let i = 0; i < df.cols.length; i++) {
+                if (df.cols[i].values.length > df.nrow) df.nrow = df.cols[i].values.length
+            }
+            if (df.id === df.rootId) {
+                df.expandedFrames = new Set()
+                df.childFrames = {}
+                const table = this.getTableElement(df.id)
+                table.df = df
+                for (let i = 0; i < df.cols.length; i++) {
+                    let col = df.cols[i]
+                    if (col.parent === undefined && col.children.length > 0) col.expanded = true
+                }
+            } else {
+                const rootDf = this.getTableData(df.rootId)
+                rootDf.childFrames[df.id] = df
+            }
+        }
+
+        this.computeRenderData = function (df) {
+            let result = []
+            let pos = 0
+            for (let col = 0; col < df.cols.length; col++) {
+                if (df.cols[col].parent === undefined)
+                    pos += this.computeRenderDataRec(df.cols, col, pos, 0, result, false, false)
+            }
+            for (let i = 0; i < result.length; i++) {
+                let row = result[i]
+                for (let j = 0; j < row.length; j++) {
+                    let cell = row[j]
+                    if (j === 0)
+                        cell.leftBd = false
+                    if (j < row.length - 1) {
+                        let nextData = row[j + 1]
+                        if (nextData.leftBd) cell.rightBd = true
+                        else if (cell.rightBd) nextData.leftBd = true
+                    } else cell.rightBd = false
+                }
+            }
+            return result
+        }
+
+        this.computeRenderDataRec = function (cols, colId, pos, depth, result, leftBorder, rightBorder) {
+            if (result.length === depth) {
+                const array = [];
+                if (pos > 0) {
+                    let j = 0
+                    for (let i = 0; j < pos; i++) {
+                        let c = result[depth - 1][i]
+                        j += c.span
+                        let copy = Object.assign({empty: true}, c)
+                        array.push(copy)
+                    }
+                }
+                result.push(array)
+            }
+            const col = cols[colId];
+            let size = 0;
+            if (col.expanded) {
+                let childPos = pos
+                for (let i = 0; i < col.children.length; i++) {
+                    let child = col.children[i]
+                    let childLeft = i === 0 && (col.children.length > 1 || leftBorder)
+                    let childRight = i === col.children.length - 1 && (col.children.length > 1 || rightBorder)
+                    let childSize = this.computeRenderDataRec(cols, child, childPos, depth + 1, result, childLeft, childRight)
+                    childPos += childSize
+                    size += childSize
+                }
+            } else {
+                for (let i = depth + 1; i < result.length; i++)
+                    result[i].push({id: colId, span: 1, leftBd: leftBorder, rightBd: rightBorder, empty: true})
+                size = 1
+            }
+            let left = leftBorder
+            let right = rightBorder
+            if (size > 1) {
+                left = true
+                right = true
+            }
+            result[depth].push({id: colId, span: size, leftBd: left, rightBd: right})
+            return size
+        }
+
+        this.getTableElement = function (id) {
+            return document.getElementById("df_" + id)
+        }
+
+        this.getTableData = function (id) {
+            return this.getTableElement(id).df
+        }
+
+        this.createExpander = function (isExpanded) {
+            const svgNs = "http://www.w3.org/2000/svg"
+            let svg = document.createElementNS(svgNs, "svg")
+            svg.classList.add("expanderSvg")
+            let path = document.createElementNS(svgNs, "path")
+            if (isExpanded) {
+                svg.setAttribute("viewBox", "0 -2 8 8")
+                path.setAttribute("d", "M1 0 l-1 1 4 4 4 -4 -1 -1 -3 3Z")
+            } else {
+                svg.setAttribute("viewBox", "-2 0 8 8")
+                path.setAttribute("d", "M1 0 l-1 1 3 3 -3 3 1 1 4 -4Z")
+            }
+            path.setAttribute("fill", "currentColor")
+            svg.appendChild(path)
+            return svg
+        }
+
+        this.renderTable = function (id) {
+
+            let table = this.getTableElement(id)
+
+            if (table === null) return
+
+            table.innerHTML = ""
+
+            let df = table.df
+            let rootDf = df.rootId === df.id ? df : this.getTableData(df.rootId)
+
+            // header
+            let header = document.createElement("thead")
+            table.appendChild(header)
+
+            let renderData = this.computeRenderData(df)
+            for (let j = 0; j < renderData.length; j++) {
+                let rowData = renderData[j]
+                let tr = document.createElement("tr");
+                let isLastRow = j === renderData.length - 1
+                header.appendChild(tr);
+                for (let i = 0; i < rowData.length; i++) {
+                    let cell = rowData[i]
+                    let th = document.createElement("th");
+                    th.setAttribute("colspan", cell.span)
+                    let colId = cell.id
+                    let col = df.cols[colId];
+                    if (!cell.empty) {
+                        if (col.children.length === 0) {
+                            th.innerHTML = col.name
+                        } else {
+                            let link = document.createElement("a")
+                            link.className = "expander"
+                            let that = this
+                            link.onclick = function () {
+                                col.expanded = !col.expanded
+                                that.renderTable(id)
+                            }
+                            link.appendChild(this.createExpander(col.expanded))
+                            link.innerHTML += col.name
+                            th.appendChild(link)
+                        }
+                    }
+                    let classes = (cell.leftBd ? " leftBorder" : "") + (cell.rightBd ? " rightBorder" : "")
+                    if (col.rightAlign)
+                        classes += " rightAlign"
+                    if (isLastRow)
+                        classes += " bottomBorder"
+                    if (classes.length > 0)
+                        th.setAttribute("class", classes)
+                    tr.appendChild(th)
+                }
+            }
+
+            // body
+            let body = document.createElement("tbody")
+            table.appendChild(body)
+
+            let columns = renderData.pop()
+            for (let row = 0; row < df.nrow; row++) {
+                let tr = document.createElement("tr");
+                body.appendChild(tr)
+                for (let i = 0; i < columns.length; i++) {
+                    let cell = columns[i]
+                    let td = document.createElement("td");
+                    let colId = cell.id
+                    let col = df.cols[colId]
+                    let classes = (cell.leftBd ? " leftBorder" : "") + (cell.rightBd ? " rightBorder" : "")
+                    if (col.rightAlign)
+                        classes += " rightAlign"
+                    if (classes.length > 0)
+                        td.setAttribute("class", classes)
+                    tr.appendChild(td)
+                    let value = col.values[row]
+                    if (value.frameId !== undefined) {
+                        let frameId = value.frameId
+                        let expanded = rootDf.expandedFrames.has(frameId)
+                        let link = document.createElement("a")
+                        link.className = "expander"
+                        let that = this
+                        link.onclick = function () {
+                            if (rootDf.expandedFrames.has(frameId))
+                                rootDf.expandedFrames.delete(frameId)
+                            else rootDf.expandedFrames.add(frameId)
+                            that.renderTable(id)
+                        }
+                        link.appendChild(this.createExpander(expanded))
+                        link.innerHTML += value.value
+                        if (expanded) {
+                            td.appendChild(link)
+                            td.appendChild(document.createElement("p"))
+                            const childTable = document.createElement("table")
+                            childTable.className = "dataframe"
+                            childTable.id = "df_" + frameId
+                            let childDf = rootDf.childFrames[frameId]
+                            childTable.df = childDf
+                            td.appendChild(childTable)
+                            this.renderTable(frameId)
+                            if (childDf.nrow !== childDf.totalRows) {
+                                const footer = document.createElement("p")
+                                footer.innerText = `... showing only top ${childDf.nrow} of ${childDf.totalRows} rows`
+                                td.appendChild(footer)
+                            }
+                        } else {
+                            td.appendChild(link)
+                        }
+                    } else if (value.style !== undefined) {
+                        td.innerHTML = value.value
+                        td.setAttribute("style", value.style)
+                    } else td.innerHTML = value
+                    this.nodeScriptReplace(td)
+                }
+            }
+        }
+
+        this.nodeScriptReplace = function (node) {
+            if (this.nodeScriptIs(node) === true) {
+                node.parentNode.replaceChild(this.nodeScriptClone(node), node);
+            } else {
+                let i = -1, children = node.childNodes;
+                while (++i < children.length) {
+                    this.nodeScriptReplace(children[i]);
+                }
+            }
+
+            return node;
+        }
+
+        this.nodeScriptClone = function (node) {
+            let script = document.createElement("script");
+            script.text = node.innerHTML;
+
+            let i = -1, attrs = node.attributes, attr;
+            while (++i < attrs.length) {
+                script.setAttribute((attr = attrs[i]).name, attr.value);
+            }
+            return script;
+        }
+
+        this.nodeScriptIs = function (node) {
+            return node.tagName === 'SCRIPT';
+        }
+    })()
+
+    window.call_DataFrame = function (f) {
+        return f();
+    };
+
+    let funQueue = window["kotlinQueues"] && window["kotlinQueues"]["DataFrame"];
+    if (funQueue) {
+        funQueue.forEach(function (f) {
+            f();
+        });
+        funQueue = [];
+    }
+})()
+
+/*<!--*/
+call_DataFrame(function() { DataFrame.addTable({ cols: [{ name: "<span title=\"untitled: DataFrame<*>\">untitled</span>", children: [], rightAlign: false, values: [{ frameId: 1, value: "<b>DataFrame 3 x 2</b>" },{ frameId: 2, value: "<b>DataFrame 3 x 2</b>" },{ frameId: 3, value: "<b>DataFrame 3 x 2</b>" }] }, 
+], id: 0, rootId: 0, totalRows: 3 } ) });
+/*-->*/
+
+/*<!--*/
+call_DataFrame(function() { DataFrame.addTable({ cols: [{ name: "<span title=\"name: String\">name</span>", children: [], rightAlign: false, values: ["Alice","Bob","Charlie"] }, 
+{ name: "<span title=\"age: Int\">age</span>", children: [], rightAlign: true, values: ["<span class=\"formatted\" title=\"\"><span class=\"numbers\">15</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">20</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">30</span></span>"] }, 
+], id: 1, rootId: 0, totalRows: 3 } ) });
+/*-->*/
+
+/*<!--*/
+call_DataFrame(function() { DataFrame.addTable({ cols: [{ name: "<span title=\"name: String\">name</span>", children: [], rightAlign: false, values: ["Alice","Bob","Charlie"] }, 
+{ name: "<span title=\"age: Int\">age</span>", children: [], rightAlign: true, values: ["<span class=\"formatted\" title=\"\"><span class=\"numbers\">15</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">20</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">30</span></span>"] }, 
+], id: 2, rootId: 0, totalRows: 3 } ) });
+/*-->*/
+
+/*<!--*/
+call_DataFrame(function() { DataFrame.addTable({ cols: [{ name: "<span title=\"name: String\">name</span>", children: [], rightAlign: false, values: ["Alice","Bob","Charlie"] }, 
+{ name: "<span title=\"age: Int\">age</span>", children: [], rightAlign: true, values: ["<span class=\"formatted\" title=\"\"><span class=\"numbers\">15</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">20</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">30</span></span>"] }, 
+], id: 3, rootId: 0, totalRows: 3 } ) });
+/*-->*/
+
+call_DataFrame(function() { DataFrame.renderTable(0) });
+
+function sendHeight() {
+    const table = document.querySelector('table.dataframe');
+    if (!table) return;
+
+    let height = 0;
+    
+    const thead = table.querySelector('thead');
+    if (thead) height += thead.offsetHeight;
+    
+    const rows = table.querySelectorAll(':scope > tbody > tr');
+    rows.forEach(row => {
+        height += row.offsetHeight;
+    });
+    
+    height += getVerticalMargins(table) + 10;
+
+    window.parent.postMessage({ type: 'iframeHeight', height: Math.ceil(height) }, '*');
+}
+
+function getVerticalMargins(element) {
+    const style = getComputedStyle(element);
+    return parseFloat(style.marginTop) + parseFloat(style.marginBottom);
+}
+
+function repeatHeightCalculation(maxRetries = 10, interval = 100) {
+    let retries = 0;
+    const intervalId = setInterval(() => {
+        sendHeight();
+        retries++;
+        if (retries >= maxRetries) clearInterval(intervalId);
+    }, interval);
+}
+
+window.addEventListener('load', repeatHeightCalculation);
+
+const observer = new MutationObserver(() => repeatHeightCalculation(5, 50));
+observer.observe(document.querySelector('.dataframe'), {
+    childList: true,
+    subtree: true,
+    characterData: true,
+});
+
+
+</script>
+</html>
diff --git a/docs/StardustDocs/resources/api/duplicate/duplicateDataFrameConcat.html b/docs/StardustDocs/resources/api/duplicate/duplicateDataFrameConcat.html
new file mode 100644
index 0000000000..0134bcc464
--- /dev/null
+++ b/docs/StardustDocs/resources/api/duplicate/duplicateDataFrameConcat.html
@@ -0,0 +1,511 @@
+<html>
+<head>
+<style type="text/css">
+:root {
+    --background: #fff;
+    --background-odd: #f5f5f5;
+    --background-hover: #d9edfd;
+    --header-text-color: #474747;
+    --text-color: #848484;
+    --text-color-dark: #000;
+    --text-color-medium: #737373;
+    --text-color-pale: #b3b3b3;
+    --inner-border-color: #aaa;
+    --bold-border-color: #000;
+    --link-color: #296eaa;
+    --link-color-pale: #296eaa;
+    --link-hover: #1a466c;
+}
+
+:root[theme="dark"], :root [data-jp-theme-light="false"], .dataframe_dark{
+    --background: #303030;
+    --background-odd: #3c3c3c;
+    --background-hover: #464646;
+    --header-text-color: #dddddd;
+    --text-color: #b3b3b3;
+    --text-color-dark: #dddddd;
+    --text-color-medium: #b2b2b2;
+    --text-color-pale: #737373;
+    --inner-border-color: #707070;
+    --bold-border-color: #777777;
+    --link-color: #008dc0;
+    --link-color-pale: #97e1fb;
+    --link-hover: #00688e;
+}
+
+p.dataframe_description {
+    color: var(--text-color-dark);
+}
+
+table.dataframe {
+    font-family: "Helvetica Neue", Helvetica, Arial, sans-serif;
+    font-size: 12px;
+    background-color: var(--background);
+    color: var(--text-color-dark);
+    border: none;
+    border-collapse: collapse;
+}
+
+table.dataframe th, td {
+    padding: 6px;
+    border: 1px solid transparent;
+    text-align: left;
+}
+
+table.dataframe th {
+    background-color: var(--background);
+    color: var(--header-text-color);
+}
+
+table.dataframe td {
+    vertical-align: top;
+    white-space: nowrap;
+}
+
+table.dataframe th.bottomBorder {
+    border-bottom-color: var(--bold-border-color);
+}
+
+table.dataframe tbody > tr:nth-child(odd) {
+    background: var(--background-odd);
+}
+
+table.dataframe tbody > tr:nth-child(even) {
+    background: var(--background);
+}
+
+table.dataframe tbody > tr:hover {
+    background: var(--background-hover);
+}
+
+table.dataframe a {
+    cursor: pointer;
+    color: var(--link-color);
+    text-decoration: none;
+}
+
+table.dataframe tr:hover > td a {
+    color: var(--link-color-pale);
+}
+
+table.dataframe a:hover {
+    color: var(--link-hover);
+    text-decoration: underline;
+}
+
+table.dataframe img {
+    max-width: fit-content;
+}
+
+table.dataframe th.complex {
+    background-color: var(--background);
+    border: 1px solid var(--background);
+}
+
+table.dataframe .leftBorder {
+    border-left-color: var(--inner-border-color);
+}
+
+table.dataframe .rightBorder {
+    border-right-color: var(--inner-border-color);
+}
+
+table.dataframe .rightAlign {
+    text-align: right;
+}
+
+table.dataframe .expanderSvg {
+    width: 8px;
+    height: 8px;
+    margin-right: 3px;
+}
+
+table.dataframe .expander {
+    display: flex;
+    align-items: center;
+}
+
+/* formatting */
+
+table.dataframe .null {
+    color: var(--text-color-pale);
+}
+
+table.dataframe .structural {
+    color: var(--text-color-medium);
+    font-weight: bold;
+}
+
+table.dataframe .dataFrameCaption {
+    font-weight: bold;
+}
+
+table.dataframe .numbers {
+    color: var(--text-color-dark);
+}
+
+table.dataframe td:hover .formatted .structural, .null {
+    color: var(--text-color-dark);
+}
+
+table.dataframe tr:hover .formatted .structural, .null {
+    color: var(--text-color-dark);
+}
+
+
+body {
+    font-family: "JetBrains Mono",SFMono-Regular,Consolas,"Liberation Mono",Menlo,Courier,monospace;
+}       
+
+:root {
+    color: #19191C;
+    background-color: #fff;
+}
+
+:root[theme="dark"] {
+    background-color: #19191C;
+    color: #FFFFFFCC
+}
+
+details details {
+    margin-left: 20px; 
+}
+
+summary {
+    padding: 6px;
+}
+</style>
+</head>
+<body>
+<table class="dataframe" id="df_0"></table>
+
+<p class="dataframe_description"></p>
+</body>
+<script>
+(function () {
+    window.DataFrame = window.DataFrame || new (function () {
+        this.addTable = function (df) {
+            let cols = df.cols;
+            for (let i = 0; i < cols.length; i++) {
+                for (let c of cols[i].children) {
+                    cols[c].parent = i;
+                }
+            }
+            df.nrow = 0
+            for (let i = 0; i < df.cols.length; i++) {
+                if (df.cols[i].values.length > df.nrow) df.nrow = df.cols[i].values.length
+            }
+            if (df.id === df.rootId) {
+                df.expandedFrames = new Set()
+                df.childFrames = {}
+                const table = this.getTableElement(df.id)
+                table.df = df
+                for (let i = 0; i < df.cols.length; i++) {
+                    let col = df.cols[i]
+                    if (col.parent === undefined && col.children.length > 0) col.expanded = true
+                }
+            } else {
+                const rootDf = this.getTableData(df.rootId)
+                rootDf.childFrames[df.id] = df
+            }
+        }
+
+        this.computeRenderData = function (df) {
+            let result = []
+            let pos = 0
+            for (let col = 0; col < df.cols.length; col++) {
+                if (df.cols[col].parent === undefined)
+                    pos += this.computeRenderDataRec(df.cols, col, pos, 0, result, false, false)
+            }
+            for (let i = 0; i < result.length; i++) {
+                let row = result[i]
+                for (let j = 0; j < row.length; j++) {
+                    let cell = row[j]
+                    if (j === 0)
+                        cell.leftBd = false
+                    if (j < row.length - 1) {
+                        let nextData = row[j + 1]
+                        if (nextData.leftBd) cell.rightBd = true
+                        else if (cell.rightBd) nextData.leftBd = true
+                    } else cell.rightBd = false
+                }
+            }
+            return result
+        }
+
+        this.computeRenderDataRec = function (cols, colId, pos, depth, result, leftBorder, rightBorder) {
+            if (result.length === depth) {
+                const array = [];
+                if (pos > 0) {
+                    let j = 0
+                    for (let i = 0; j < pos; i++) {
+                        let c = result[depth - 1][i]
+                        j += c.span
+                        let copy = Object.assign({empty: true}, c)
+                        array.push(copy)
+                    }
+                }
+                result.push(array)
+            }
+            const col = cols[colId];
+            let size = 0;
+            if (col.expanded) {
+                let childPos = pos
+                for (let i = 0; i < col.children.length; i++) {
+                    let child = col.children[i]
+                    let childLeft = i === 0 && (col.children.length > 1 || leftBorder)
+                    let childRight = i === col.children.length - 1 && (col.children.length > 1 || rightBorder)
+                    let childSize = this.computeRenderDataRec(cols, child, childPos, depth + 1, result, childLeft, childRight)
+                    childPos += childSize
+                    size += childSize
+                }
+            } else {
+                for (let i = depth + 1; i < result.length; i++)
+                    result[i].push({id: colId, span: 1, leftBd: leftBorder, rightBd: rightBorder, empty: true})
+                size = 1
+            }
+            let left = leftBorder
+            let right = rightBorder
+            if (size > 1) {
+                left = true
+                right = true
+            }
+            result[depth].push({id: colId, span: size, leftBd: left, rightBd: right})
+            return size
+        }
+
+        this.getTableElement = function (id) {
+            return document.getElementById("df_" + id)
+        }
+
+        this.getTableData = function (id) {
+            return this.getTableElement(id).df
+        }
+
+        this.createExpander = function (isExpanded) {
+            const svgNs = "http://www.w3.org/2000/svg"
+            let svg = document.createElementNS(svgNs, "svg")
+            svg.classList.add("expanderSvg")
+            let path = document.createElementNS(svgNs, "path")
+            if (isExpanded) {
+                svg.setAttribute("viewBox", "0 -2 8 8")
+                path.setAttribute("d", "M1 0 l-1 1 4 4 4 -4 -1 -1 -3 3Z")
+            } else {
+                svg.setAttribute("viewBox", "-2 0 8 8")
+                path.setAttribute("d", "M1 0 l-1 1 3 3 -3 3 1 1 4 -4Z")
+            }
+            path.setAttribute("fill", "currentColor")
+            svg.appendChild(path)
+            return svg
+        }
+
+        this.renderTable = function (id) {
+
+            let table = this.getTableElement(id)
+
+            if (table === null) return
+
+            table.innerHTML = ""
+
+            let df = table.df
+            let rootDf = df.rootId === df.id ? df : this.getTableData(df.rootId)
+
+            // header
+            let header = document.createElement("thead")
+            table.appendChild(header)
+
+            let renderData = this.computeRenderData(df)
+            for (let j = 0; j < renderData.length; j++) {
+                let rowData = renderData[j]
+                let tr = document.createElement("tr");
+                let isLastRow = j === renderData.length - 1
+                header.appendChild(tr);
+                for (let i = 0; i < rowData.length; i++) {
+                    let cell = rowData[i]
+                    let th = document.createElement("th");
+                    th.setAttribute("colspan", cell.span)
+                    let colId = cell.id
+                    let col = df.cols[colId];
+                    if (!cell.empty) {
+                        if (col.children.length === 0) {
+                            th.innerHTML = col.name
+                        } else {
+                            let link = document.createElement("a")
+                            link.className = "expander"
+                            let that = this
+                            link.onclick = function () {
+                                col.expanded = !col.expanded
+                                that.renderTable(id)
+                            }
+                            link.appendChild(this.createExpander(col.expanded))
+                            link.innerHTML += col.name
+                            th.appendChild(link)
+                        }
+                    }
+                    let classes = (cell.leftBd ? " leftBorder" : "") + (cell.rightBd ? " rightBorder" : "")
+                    if (col.rightAlign)
+                        classes += " rightAlign"
+                    if (isLastRow)
+                        classes += " bottomBorder"
+                    if (classes.length > 0)
+                        th.setAttribute("class", classes)
+                    tr.appendChild(th)
+                }
+            }
+
+            // body
+            let body = document.createElement("tbody")
+            table.appendChild(body)
+
+            let columns = renderData.pop()
+            for (let row = 0; row < df.nrow; row++) {
+                let tr = document.createElement("tr");
+                body.appendChild(tr)
+                for (let i = 0; i < columns.length; i++) {
+                    let cell = columns[i]
+                    let td = document.createElement("td");
+                    let colId = cell.id
+                    let col = df.cols[colId]
+                    let classes = (cell.leftBd ? " leftBorder" : "") + (cell.rightBd ? " rightBorder" : "")
+                    if (col.rightAlign)
+                        classes += " rightAlign"
+                    if (classes.length > 0)
+                        td.setAttribute("class", classes)
+                    tr.appendChild(td)
+                    let value = col.values[row]
+                    if (value.frameId !== undefined) {
+                        let frameId = value.frameId
+                        let expanded = rootDf.expandedFrames.has(frameId)
+                        let link = document.createElement("a")
+                        link.className = "expander"
+                        let that = this
+                        link.onclick = function () {
+                            if (rootDf.expandedFrames.has(frameId))
+                                rootDf.expandedFrames.delete(frameId)
+                            else rootDf.expandedFrames.add(frameId)
+                            that.renderTable(id)
+                        }
+                        link.appendChild(this.createExpander(expanded))
+                        link.innerHTML += value.value
+                        if (expanded) {
+                            td.appendChild(link)
+                            td.appendChild(document.createElement("p"))
+                            const childTable = document.createElement("table")
+                            childTable.className = "dataframe"
+                            childTable.id = "df_" + frameId
+                            let childDf = rootDf.childFrames[frameId]
+                            childTable.df = childDf
+                            td.appendChild(childTable)
+                            this.renderTable(frameId)
+                            if (childDf.nrow !== childDf.totalRows) {
+                                const footer = document.createElement("p")
+                                footer.innerText = `... showing only top ${childDf.nrow} of ${childDf.totalRows} rows`
+                                td.appendChild(footer)
+                            }
+                        } else {
+                            td.appendChild(link)
+                        }
+                    } else if (value.style !== undefined) {
+                        td.innerHTML = value.value
+                        td.setAttribute("style", value.style)
+                    } else td.innerHTML = value
+                    this.nodeScriptReplace(td)
+                }
+            }
+        }
+
+        this.nodeScriptReplace = function (node) {
+            if (this.nodeScriptIs(node) === true) {
+                node.parentNode.replaceChild(this.nodeScriptClone(node), node);
+            } else {
+                let i = -1, children = node.childNodes;
+                while (++i < children.length) {
+                    this.nodeScriptReplace(children[i]);
+                }
+            }
+
+            return node;
+        }
+
+        this.nodeScriptClone = function (node) {
+            let script = document.createElement("script");
+            script.text = node.innerHTML;
+
+            let i = -1, attrs = node.attributes, attr;
+            while (++i < attrs.length) {
+                script.setAttribute((attr = attrs[i]).name, attr.value);
+            }
+            return script;
+        }
+
+        this.nodeScriptIs = function (node) {
+            return node.tagName === 'SCRIPT';
+        }
+    })()
+
+    window.call_DataFrame = function (f) {
+        return f();
+    };
+
+    let funQueue = window["kotlinQueues"] && window["kotlinQueues"]["DataFrame"];
+    if (funQueue) {
+        funQueue.forEach(function (f) {
+            f();
+        });
+        funQueue = [];
+    }
+})()
+
+/*<!--*/
+call_DataFrame(function() { DataFrame.addTable({ cols: [{ name: "<span title=\"name: String\">name</span>", children: [], rightAlign: false, values: ["Alice","Bob","Charlie","Alice","Bob","Charlie"] }, 
+{ name: "<span title=\"age: Int\">age</span>", children: [], rightAlign: true, values: ["<span class=\"formatted\" title=\"\"><span class=\"numbers\">15</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">20</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">30</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">15</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">20</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">30</span></span>"] }, 
+], id: 0, rootId: 0, totalRows: 6 } ) });
+/*-->*/
+
+call_DataFrame(function() { DataFrame.renderTable(0) });
+
+function sendHeight() {
+    const table = document.querySelector('table.dataframe');
+    if (!table) return;
+
+    let height = 0;
+    
+    const thead = table.querySelector('thead');
+    if (thead) height += thead.offsetHeight;
+    
+    const rows = table.querySelectorAll(':scope > tbody > tr');
+    rows.forEach(row => {
+        height += row.offsetHeight;
+    });
+    
+    height += getVerticalMargins(table) + 10;
+
+    window.parent.postMessage({ type: 'iframeHeight', height: Math.ceil(height) }, '*');
+}
+
+function getVerticalMargins(element) {
+    const style = getComputedStyle(element);
+    return parseFloat(style.marginTop) + parseFloat(style.marginBottom);
+}
+
+function repeatHeightCalculation(maxRetries = 10, interval = 100) {
+    let retries = 0;
+    const intervalId = setInterval(() => {
+        sendHeight();
+        retries++;
+        if (retries >= maxRetries) clearInterval(intervalId);
+    }, interval);
+}
+
+window.addEventListener('load', repeatHeightCalculation);
+
+const observer = new MutationObserver(() => repeatHeightCalculation(5, 50));
+observer.observe(document.querySelector('.dataframe'), {
+    childList: true,
+    subtree: true,
+    characterData: true,
+});
+
+
+</script>
+</html>
diff --git a/docs/StardustDocs/resources/api/duplicate/duplicateDf.html b/docs/StardustDocs/resources/api/duplicate/duplicateDf.html
new file mode 100644
index 0000000000..ce396e7a9b
--- /dev/null
+++ b/docs/StardustDocs/resources/api/duplicate/duplicateDf.html
@@ -0,0 +1,511 @@
+<html>
+<head>
+<style type="text/css">
+:root {
+    --background: #fff;
+    --background-odd: #f5f5f5;
+    --background-hover: #d9edfd;
+    --header-text-color: #474747;
+    --text-color: #848484;
+    --text-color-dark: #000;
+    --text-color-medium: #737373;
+    --text-color-pale: #b3b3b3;
+    --inner-border-color: #aaa;
+    --bold-border-color: #000;
+    --link-color: #296eaa;
+    --link-color-pale: #296eaa;
+    --link-hover: #1a466c;
+}
+
+:root[theme="dark"], :root [data-jp-theme-light="false"], .dataframe_dark{
+    --background: #303030;
+    --background-odd: #3c3c3c;
+    --background-hover: #464646;
+    --header-text-color: #dddddd;
+    --text-color: #b3b3b3;
+    --text-color-dark: #dddddd;
+    --text-color-medium: #b2b2b2;
+    --text-color-pale: #737373;
+    --inner-border-color: #707070;
+    --bold-border-color: #777777;
+    --link-color: #008dc0;
+    --link-color-pale: #97e1fb;
+    --link-hover: #00688e;
+}
+
+p.dataframe_description {
+    color: var(--text-color-dark);
+}
+
+table.dataframe {
+    font-family: "Helvetica Neue", Helvetica, Arial, sans-serif;
+    font-size: 12px;
+    background-color: var(--background);
+    color: var(--text-color-dark);
+    border: none;
+    border-collapse: collapse;
+}
+
+table.dataframe th, td {
+    padding: 6px;
+    border: 1px solid transparent;
+    text-align: left;
+}
+
+table.dataframe th {
+    background-color: var(--background);
+    color: var(--header-text-color);
+}
+
+table.dataframe td {
+    vertical-align: top;
+    white-space: nowrap;
+}
+
+table.dataframe th.bottomBorder {
+    border-bottom-color: var(--bold-border-color);
+}
+
+table.dataframe tbody > tr:nth-child(odd) {
+    background: var(--background-odd);
+}
+
+table.dataframe tbody > tr:nth-child(even) {
+    background: var(--background);
+}
+
+table.dataframe tbody > tr:hover {
+    background: var(--background-hover);
+}
+
+table.dataframe a {
+    cursor: pointer;
+    color: var(--link-color);
+    text-decoration: none;
+}
+
+table.dataframe tr:hover > td a {
+    color: var(--link-color-pale);
+}
+
+table.dataframe a:hover {
+    color: var(--link-hover);
+    text-decoration: underline;
+}
+
+table.dataframe img {
+    max-width: fit-content;
+}
+
+table.dataframe th.complex {
+    background-color: var(--background);
+    border: 1px solid var(--background);
+}
+
+table.dataframe .leftBorder {
+    border-left-color: var(--inner-border-color);
+}
+
+table.dataframe .rightBorder {
+    border-right-color: var(--inner-border-color);
+}
+
+table.dataframe .rightAlign {
+    text-align: right;
+}
+
+table.dataframe .expanderSvg {
+    width: 8px;
+    height: 8px;
+    margin-right: 3px;
+}
+
+table.dataframe .expander {
+    display: flex;
+    align-items: center;
+}
+
+/* formatting */
+
+table.dataframe .null {
+    color: var(--text-color-pale);
+}
+
+table.dataframe .structural {
+    color: var(--text-color-medium);
+    font-weight: bold;
+}
+
+table.dataframe .dataFrameCaption {
+    font-weight: bold;
+}
+
+table.dataframe .numbers {
+    color: var(--text-color-dark);
+}
+
+table.dataframe td:hover .formatted .structural, .null {
+    color: var(--text-color-dark);
+}
+
+table.dataframe tr:hover .formatted .structural, .null {
+    color: var(--text-color-dark);
+}
+
+
+body {
+    font-family: "JetBrains Mono",SFMono-Regular,Consolas,"Liberation Mono",Menlo,Courier,monospace;
+}       
+
+:root {
+    color: #19191C;
+    background-color: #fff;
+}
+
+:root[theme="dark"] {
+    background-color: #19191C;
+    color: #FFFFFFCC
+}
+
+details details {
+    margin-left: 20px; 
+}
+
+summary {
+    padding: 6px;
+}
+</style>
+</head>
+<body>
+<table class="dataframe" id="df_0"></table>
+
+<p class="dataframe_description"></p>
+</body>
+<script>
+(function () {
+    window.DataFrame = window.DataFrame || new (function () {
+        this.addTable = function (df) {
+            let cols = df.cols;
+            for (let i = 0; i < cols.length; i++) {
+                for (let c of cols[i].children) {
+                    cols[c].parent = i;
+                }
+            }
+            df.nrow = 0
+            for (let i = 0; i < df.cols.length; i++) {
+                if (df.cols[i].values.length > df.nrow) df.nrow = df.cols[i].values.length
+            }
+            if (df.id === df.rootId) {
+                df.expandedFrames = new Set()
+                df.childFrames = {}
+                const table = this.getTableElement(df.id)
+                table.df = df
+                for (let i = 0; i < df.cols.length; i++) {
+                    let col = df.cols[i]
+                    if (col.parent === undefined && col.children.length > 0) col.expanded = true
+                }
+            } else {
+                const rootDf = this.getTableData(df.rootId)
+                rootDf.childFrames[df.id] = df
+            }
+        }
+
+        this.computeRenderData = function (df) {
+            let result = []
+            let pos = 0
+            for (let col = 0; col < df.cols.length; col++) {
+                if (df.cols[col].parent === undefined)
+                    pos += this.computeRenderDataRec(df.cols, col, pos, 0, result, false, false)
+            }
+            for (let i = 0; i < result.length; i++) {
+                let row = result[i]
+                for (let j = 0; j < row.length; j++) {
+                    let cell = row[j]
+                    if (j === 0)
+                        cell.leftBd = false
+                    if (j < row.length - 1) {
+                        let nextData = row[j + 1]
+                        if (nextData.leftBd) cell.rightBd = true
+                        else if (cell.rightBd) nextData.leftBd = true
+                    } else cell.rightBd = false
+                }
+            }
+            return result
+        }
+
+        this.computeRenderDataRec = function (cols, colId, pos, depth, result, leftBorder, rightBorder) {
+            if (result.length === depth) {
+                const array = [];
+                if (pos > 0) {
+                    let j = 0
+                    for (let i = 0; j < pos; i++) {
+                        let c = result[depth - 1][i]
+                        j += c.span
+                        let copy = Object.assign({empty: true}, c)
+                        array.push(copy)
+                    }
+                }
+                result.push(array)
+            }
+            const col = cols[colId];
+            let size = 0;
+            if (col.expanded) {
+                let childPos = pos
+                for (let i = 0; i < col.children.length; i++) {
+                    let child = col.children[i]
+                    let childLeft = i === 0 && (col.children.length > 1 || leftBorder)
+                    let childRight = i === col.children.length - 1 && (col.children.length > 1 || rightBorder)
+                    let childSize = this.computeRenderDataRec(cols, child, childPos, depth + 1, result, childLeft, childRight)
+                    childPos += childSize
+                    size += childSize
+                }
+            } else {
+                for (let i = depth + 1; i < result.length; i++)
+                    result[i].push({id: colId, span: 1, leftBd: leftBorder, rightBd: rightBorder, empty: true})
+                size = 1
+            }
+            let left = leftBorder
+            let right = rightBorder
+            if (size > 1) {
+                left = true
+                right = true
+            }
+            result[depth].push({id: colId, span: size, leftBd: left, rightBd: right})
+            return size
+        }
+
+        this.getTableElement = function (id) {
+            return document.getElementById("df_" + id)
+        }
+
+        this.getTableData = function (id) {
+            return this.getTableElement(id).df
+        }
+
+        this.createExpander = function (isExpanded) {
+            const svgNs = "http://www.w3.org/2000/svg"
+            let svg = document.createElementNS(svgNs, "svg")
+            svg.classList.add("expanderSvg")
+            let path = document.createElementNS(svgNs, "path")
+            if (isExpanded) {
+                svg.setAttribute("viewBox", "0 -2 8 8")
+                path.setAttribute("d", "M1 0 l-1 1 4 4 4 -4 -1 -1 -3 3Z")
+            } else {
+                svg.setAttribute("viewBox", "-2 0 8 8")
+                path.setAttribute("d", "M1 0 l-1 1 3 3 -3 3 1 1 4 -4Z")
+            }
+            path.setAttribute("fill", "currentColor")
+            svg.appendChild(path)
+            return svg
+        }
+
+        this.renderTable = function (id) {
+
+            let table = this.getTableElement(id)
+
+            if (table === null) return
+
+            table.innerHTML = ""
+
+            let df = table.df
+            let rootDf = df.rootId === df.id ? df : this.getTableData(df.rootId)
+
+            // header
+            let header = document.createElement("thead")
+            table.appendChild(header)
+
+            let renderData = this.computeRenderData(df)
+            for (let j = 0; j < renderData.length; j++) {
+                let rowData = renderData[j]
+                let tr = document.createElement("tr");
+                let isLastRow = j === renderData.length - 1
+                header.appendChild(tr);
+                for (let i = 0; i < rowData.length; i++) {
+                    let cell = rowData[i]
+                    let th = document.createElement("th");
+                    th.setAttribute("colspan", cell.span)
+                    let colId = cell.id
+                    let col = df.cols[colId];
+                    if (!cell.empty) {
+                        if (col.children.length === 0) {
+                            th.innerHTML = col.name
+                        } else {
+                            let link = document.createElement("a")
+                            link.className = "expander"
+                            let that = this
+                            link.onclick = function () {
+                                col.expanded = !col.expanded
+                                that.renderTable(id)
+                            }
+                            link.appendChild(this.createExpander(col.expanded))
+                            link.innerHTML += col.name
+                            th.appendChild(link)
+                        }
+                    }
+                    let classes = (cell.leftBd ? " leftBorder" : "") + (cell.rightBd ? " rightBorder" : "")
+                    if (col.rightAlign)
+                        classes += " rightAlign"
+                    if (isLastRow)
+                        classes += " bottomBorder"
+                    if (classes.length > 0)
+                        th.setAttribute("class", classes)
+                    tr.appendChild(th)
+                }
+            }
+
+            // body
+            let body = document.createElement("tbody")
+            table.appendChild(body)
+
+            let columns = renderData.pop()
+            for (let row = 0; row < df.nrow; row++) {
+                let tr = document.createElement("tr");
+                body.appendChild(tr)
+                for (let i = 0; i < columns.length; i++) {
+                    let cell = columns[i]
+                    let td = document.createElement("td");
+                    let colId = cell.id
+                    let col = df.cols[colId]
+                    let classes = (cell.leftBd ? " leftBorder" : "") + (cell.rightBd ? " rightBorder" : "")
+                    if (col.rightAlign)
+                        classes += " rightAlign"
+                    if (classes.length > 0)
+                        td.setAttribute("class", classes)
+                    tr.appendChild(td)
+                    let value = col.values[row]
+                    if (value.frameId !== undefined) {
+                        let frameId = value.frameId
+                        let expanded = rootDf.expandedFrames.has(frameId)
+                        let link = document.createElement("a")
+                        link.className = "expander"
+                        let that = this
+                        link.onclick = function () {
+                            if (rootDf.expandedFrames.has(frameId))
+                                rootDf.expandedFrames.delete(frameId)
+                            else rootDf.expandedFrames.add(frameId)
+                            that.renderTable(id)
+                        }
+                        link.appendChild(this.createExpander(expanded))
+                        link.innerHTML += value.value
+                        if (expanded) {
+                            td.appendChild(link)
+                            td.appendChild(document.createElement("p"))
+                            const childTable = document.createElement("table")
+                            childTable.className = "dataframe"
+                            childTable.id = "df_" + frameId
+                            let childDf = rootDf.childFrames[frameId]
+                            childTable.df = childDf
+                            td.appendChild(childTable)
+                            this.renderTable(frameId)
+                            if (childDf.nrow !== childDf.totalRows) {
+                                const footer = document.createElement("p")
+                                footer.innerText = `... showing only top ${childDf.nrow} of ${childDf.totalRows} rows`
+                                td.appendChild(footer)
+                            }
+                        } else {
+                            td.appendChild(link)
+                        }
+                    } else if (value.style !== undefined) {
+                        td.innerHTML = value.value
+                        td.setAttribute("style", value.style)
+                    } else td.innerHTML = value
+                    this.nodeScriptReplace(td)
+                }
+            }
+        }
+
+        this.nodeScriptReplace = function (node) {
+            if (this.nodeScriptIs(node) === true) {
+                node.parentNode.replaceChild(this.nodeScriptClone(node), node);
+            } else {
+                let i = -1, children = node.childNodes;
+                while (++i < children.length) {
+                    this.nodeScriptReplace(children[i]);
+                }
+            }
+
+            return node;
+        }
+
+        this.nodeScriptClone = function (node) {
+            let script = document.createElement("script");
+            script.text = node.innerHTML;
+
+            let i = -1, attrs = node.attributes, attr;
+            while (++i < attrs.length) {
+                script.setAttribute((attr = attrs[i]).name, attr.value);
+            }
+            return script;
+        }
+
+        this.nodeScriptIs = function (node) {
+            return node.tagName === 'SCRIPT';
+        }
+    })()
+
+    window.call_DataFrame = function (f) {
+        return f();
+    };
+
+    let funQueue = window["kotlinQueues"] && window["kotlinQueues"]["DataFrame"];
+    if (funQueue) {
+        funQueue.forEach(function (f) {
+            f();
+        });
+        funQueue = [];
+    }
+})()
+
+/*<!--*/
+call_DataFrame(function() { DataFrame.addTable({ cols: [{ name: "<span title=\"name: String\">name</span>", children: [], rightAlign: false, values: ["Alice","Bob","Charlie"] }, 
+{ name: "<span title=\"age: Int\">age</span>", children: [], rightAlign: true, values: ["<span class=\"formatted\" title=\"\"><span class=\"numbers\">15</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">20</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">30</span></span>"] }, 
+], id: 0, rootId: 0, totalRows: 3 } ) });
+/*-->*/
+
+call_DataFrame(function() { DataFrame.renderTable(0) });
+
+function sendHeight() {
+    const table = document.querySelector('table.dataframe');
+    if (!table) return;
+
+    let height = 0;
+    
+    const thead = table.querySelector('thead');
+    if (thead) height += thead.offsetHeight;
+    
+    const rows = table.querySelectorAll(':scope > tbody > tr');
+    rows.forEach(row => {
+        height += row.offsetHeight;
+    });
+    
+    height += getVerticalMargins(table) + 10;
+
+    window.parent.postMessage({ type: 'iframeHeight', height: Math.ceil(height) }, '*');
+}
+
+function getVerticalMargins(element) {
+    const style = getComputedStyle(element);
+    return parseFloat(style.marginTop) + parseFloat(style.marginBottom);
+}
+
+function repeatHeightCalculation(maxRetries = 10, interval = 100) {
+    let retries = 0;
+    const intervalId = setInterval(() => {
+        sendHeight();
+        retries++;
+        if (retries >= maxRetries) clearInterval(intervalId);
+    }, interval);
+}
+
+window.addEventListener('load', repeatHeightCalculation);
+
+const observer = new MutationObserver(() => repeatHeightCalculation(5, 50));
+observer.observe(document.querySelector('.dataframe'), {
+    childList: true,
+    subtree: true,
+    characterData: true,
+});
+
+
+</script>
+</html>
diff --git a/docs/StardustDocs/resources/api/duplicate/duplicateRow.html b/docs/StardustDocs/resources/api/duplicate/duplicateRow.html
new file mode 100644
index 0000000000..2e4460873a
--- /dev/null
+++ b/docs/StardustDocs/resources/api/duplicate/duplicateRow.html
@@ -0,0 +1,511 @@
+<html>
+<head>
+<style type="text/css">
+:root {
+    --background: #fff;
+    --background-odd: #f5f5f5;
+    --background-hover: #d9edfd;
+    --header-text-color: #474747;
+    --text-color: #848484;
+    --text-color-dark: #000;
+    --text-color-medium: #737373;
+    --text-color-pale: #b3b3b3;
+    --inner-border-color: #aaa;
+    --bold-border-color: #000;
+    --link-color: #296eaa;
+    --link-color-pale: #296eaa;
+    --link-hover: #1a466c;
+}
+
+:root[theme="dark"], :root [data-jp-theme-light="false"], .dataframe_dark{
+    --background: #303030;
+    --background-odd: #3c3c3c;
+    --background-hover: #464646;
+    --header-text-color: #dddddd;
+    --text-color: #b3b3b3;
+    --text-color-dark: #dddddd;
+    --text-color-medium: #b2b2b2;
+    --text-color-pale: #737373;
+    --inner-border-color: #707070;
+    --bold-border-color: #777777;
+    --link-color: #008dc0;
+    --link-color-pale: #97e1fb;
+    --link-hover: #00688e;
+}
+
+p.dataframe_description {
+    color: var(--text-color-dark);
+}
+
+table.dataframe {
+    font-family: "Helvetica Neue", Helvetica, Arial, sans-serif;
+    font-size: 12px;
+    background-color: var(--background);
+    color: var(--text-color-dark);
+    border: none;
+    border-collapse: collapse;
+}
+
+table.dataframe th, td {
+    padding: 6px;
+    border: 1px solid transparent;
+    text-align: left;
+}
+
+table.dataframe th {
+    background-color: var(--background);
+    color: var(--header-text-color);
+}
+
+table.dataframe td {
+    vertical-align: top;
+    white-space: nowrap;
+}
+
+table.dataframe th.bottomBorder {
+    border-bottom-color: var(--bold-border-color);
+}
+
+table.dataframe tbody > tr:nth-child(odd) {
+    background: var(--background-odd);
+}
+
+table.dataframe tbody > tr:nth-child(even) {
+    background: var(--background);
+}
+
+table.dataframe tbody > tr:hover {
+    background: var(--background-hover);
+}
+
+table.dataframe a {
+    cursor: pointer;
+    color: var(--link-color);
+    text-decoration: none;
+}
+
+table.dataframe tr:hover > td a {
+    color: var(--link-color-pale);
+}
+
+table.dataframe a:hover {
+    color: var(--link-hover);
+    text-decoration: underline;
+}
+
+table.dataframe img {
+    max-width: fit-content;
+}
+
+table.dataframe th.complex {
+    background-color: var(--background);
+    border: 1px solid var(--background);
+}
+
+table.dataframe .leftBorder {
+    border-left-color: var(--inner-border-color);
+}
+
+table.dataframe .rightBorder {
+    border-right-color: var(--inner-border-color);
+}
+
+table.dataframe .rightAlign {
+    text-align: right;
+}
+
+table.dataframe .expanderSvg {
+    width: 8px;
+    height: 8px;
+    margin-right: 3px;
+}
+
+table.dataframe .expander {
+    display: flex;
+    align-items: center;
+}
+
+/* formatting */
+
+table.dataframe .null {
+    color: var(--text-color-pale);
+}
+
+table.dataframe .structural {
+    color: var(--text-color-medium);
+    font-weight: bold;
+}
+
+table.dataframe .dataFrameCaption {
+    font-weight: bold;
+}
+
+table.dataframe .numbers {
+    color: var(--text-color-dark);
+}
+
+table.dataframe td:hover .formatted .structural, .null {
+    color: var(--text-color-dark);
+}
+
+table.dataframe tr:hover .formatted .structural, .null {
+    color: var(--text-color-dark);
+}
+
+
+body {
+    font-family: "JetBrains Mono",SFMono-Regular,Consolas,"Liberation Mono",Menlo,Courier,monospace;
+}       
+
+:root {
+    color: #19191C;
+    background-color: #fff;
+}
+
+:root[theme="dark"] {
+    background-color: #19191C;
+    color: #FFFFFFCC
+}
+
+details details {
+    margin-left: 20px; 
+}
+
+summary {
+    padding: 6px;
+}
+</style>
+</head>
+<body>
+<table class="dataframe" id="df_0"></table>
+
+<p class="dataframe_description"></p>
+</body>
+<script>
+(function () {
+    window.DataFrame = window.DataFrame || new (function () {
+        this.addTable = function (df) {
+            let cols = df.cols;
+            for (let i = 0; i < cols.length; i++) {
+                for (let c of cols[i].children) {
+                    cols[c].parent = i;
+                }
+            }
+            df.nrow = 0
+            for (let i = 0; i < df.cols.length; i++) {
+                if (df.cols[i].values.length > df.nrow) df.nrow = df.cols[i].values.length
+            }
+            if (df.id === df.rootId) {
+                df.expandedFrames = new Set()
+                df.childFrames = {}
+                const table = this.getTableElement(df.id)
+                table.df = df
+                for (let i = 0; i < df.cols.length; i++) {
+                    let col = df.cols[i]
+                    if (col.parent === undefined && col.children.length > 0) col.expanded = true
+                }
+            } else {
+                const rootDf = this.getTableData(df.rootId)
+                rootDf.childFrames[df.id] = df
+            }
+        }
+
+        this.computeRenderData = function (df) {
+            let result = []
+            let pos = 0
+            for (let col = 0; col < df.cols.length; col++) {
+                if (df.cols[col].parent === undefined)
+                    pos += this.computeRenderDataRec(df.cols, col, pos, 0, result, false, false)
+            }
+            for (let i = 0; i < result.length; i++) {
+                let row = result[i]
+                for (let j = 0; j < row.length; j++) {
+                    let cell = row[j]
+                    if (j === 0)
+                        cell.leftBd = false
+                    if (j < row.length - 1) {
+                        let nextData = row[j + 1]
+                        if (nextData.leftBd) cell.rightBd = true
+                        else if (cell.rightBd) nextData.leftBd = true
+                    } else cell.rightBd = false
+                }
+            }
+            return result
+        }
+
+        this.computeRenderDataRec = function (cols, colId, pos, depth, result, leftBorder, rightBorder) {
+            if (result.length === depth) {
+                const array = [];
+                if (pos > 0) {
+                    let j = 0
+                    for (let i = 0; j < pos; i++) {
+                        let c = result[depth - 1][i]
+                        j += c.span
+                        let copy = Object.assign({empty: true}, c)
+                        array.push(copy)
+                    }
+                }
+                result.push(array)
+            }
+            const col = cols[colId];
+            let size = 0;
+            if (col.expanded) {
+                let childPos = pos
+                for (let i = 0; i < col.children.length; i++) {
+                    let child = col.children[i]
+                    let childLeft = i === 0 && (col.children.length > 1 || leftBorder)
+                    let childRight = i === col.children.length - 1 && (col.children.length > 1 || rightBorder)
+                    let childSize = this.computeRenderDataRec(cols, child, childPos, depth + 1, result, childLeft, childRight)
+                    childPos += childSize
+                    size += childSize
+                }
+            } else {
+                for (let i = depth + 1; i < result.length; i++)
+                    result[i].push({id: colId, span: 1, leftBd: leftBorder, rightBd: rightBorder, empty: true})
+                size = 1
+            }
+            let left = leftBorder
+            let right = rightBorder
+            if (size > 1) {
+                left = true
+                right = true
+            }
+            result[depth].push({id: colId, span: size, leftBd: left, rightBd: right})
+            return size
+        }
+
+        this.getTableElement = function (id) {
+            return document.getElementById("df_" + id)
+        }
+
+        this.getTableData = function (id) {
+            return this.getTableElement(id).df
+        }
+
+        this.createExpander = function (isExpanded) {
+            const svgNs = "http://www.w3.org/2000/svg"
+            let svg = document.createElementNS(svgNs, "svg")
+            svg.classList.add("expanderSvg")
+            let path = document.createElementNS(svgNs, "path")
+            if (isExpanded) {
+                svg.setAttribute("viewBox", "0 -2 8 8")
+                path.setAttribute("d", "M1 0 l-1 1 4 4 4 -4 -1 -1 -3 3Z")
+            } else {
+                svg.setAttribute("viewBox", "-2 0 8 8")
+                path.setAttribute("d", "M1 0 l-1 1 3 3 -3 3 1 1 4 -4Z")
+            }
+            path.setAttribute("fill", "currentColor")
+            svg.appendChild(path)
+            return svg
+        }
+
+        this.renderTable = function (id) {
+
+            let table = this.getTableElement(id)
+
+            if (table === null) return
+
+            table.innerHTML = ""
+
+            let df = table.df
+            let rootDf = df.rootId === df.id ? df : this.getTableData(df.rootId)
+
+            // header
+            let header = document.createElement("thead")
+            table.appendChild(header)
+
+            let renderData = this.computeRenderData(df)
+            for (let j = 0; j < renderData.length; j++) {
+                let rowData = renderData[j]
+                let tr = document.createElement("tr");
+                let isLastRow = j === renderData.length - 1
+                header.appendChild(tr);
+                for (let i = 0; i < rowData.length; i++) {
+                    let cell = rowData[i]
+                    let th = document.createElement("th");
+                    th.setAttribute("colspan", cell.span)
+                    let colId = cell.id
+                    let col = df.cols[colId];
+                    if (!cell.empty) {
+                        if (col.children.length === 0) {
+                            th.innerHTML = col.name
+                        } else {
+                            let link = document.createElement("a")
+                            link.className = "expander"
+                            let that = this
+                            link.onclick = function () {
+                                col.expanded = !col.expanded
+                                that.renderTable(id)
+                            }
+                            link.appendChild(this.createExpander(col.expanded))
+                            link.innerHTML += col.name
+                            th.appendChild(link)
+                        }
+                    }
+                    let classes = (cell.leftBd ? " leftBorder" : "") + (cell.rightBd ? " rightBorder" : "")
+                    if (col.rightAlign)
+                        classes += " rightAlign"
+                    if (isLastRow)
+                        classes += " bottomBorder"
+                    if (classes.length > 0)
+                        th.setAttribute("class", classes)
+                    tr.appendChild(th)
+                }
+            }
+
+            // body
+            let body = document.createElement("tbody")
+            table.appendChild(body)
+
+            let columns = renderData.pop()
+            for (let row = 0; row < df.nrow; row++) {
+                let tr = document.createElement("tr");
+                body.appendChild(tr)
+                for (let i = 0; i < columns.length; i++) {
+                    let cell = columns[i]
+                    let td = document.createElement("td");
+                    let colId = cell.id
+                    let col = df.cols[colId]
+                    let classes = (cell.leftBd ? " leftBorder" : "") + (cell.rightBd ? " rightBorder" : "")
+                    if (col.rightAlign)
+                        classes += " rightAlign"
+                    if (classes.length > 0)
+                        td.setAttribute("class", classes)
+                    tr.appendChild(td)
+                    let value = col.values[row]
+                    if (value.frameId !== undefined) {
+                        let frameId = value.frameId
+                        let expanded = rootDf.expandedFrames.has(frameId)
+                        let link = document.createElement("a")
+                        link.className = "expander"
+                        let that = this
+                        link.onclick = function () {
+                            if (rootDf.expandedFrames.has(frameId))
+                                rootDf.expandedFrames.delete(frameId)
+                            else rootDf.expandedFrames.add(frameId)
+                            that.renderTable(id)
+                        }
+                        link.appendChild(this.createExpander(expanded))
+                        link.innerHTML += value.value
+                        if (expanded) {
+                            td.appendChild(link)
+                            td.appendChild(document.createElement("p"))
+                            const childTable = document.createElement("table")
+                            childTable.className = "dataframe"
+                            childTable.id = "df_" + frameId
+                            let childDf = rootDf.childFrames[frameId]
+                            childTable.df = childDf
+                            td.appendChild(childTable)
+                            this.renderTable(frameId)
+                            if (childDf.nrow !== childDf.totalRows) {
+                                const footer = document.createElement("p")
+                                footer.innerText = `... showing only top ${childDf.nrow} of ${childDf.totalRows} rows`
+                                td.appendChild(footer)
+                            }
+                        } else {
+                            td.appendChild(link)
+                        }
+                    } else if (value.style !== undefined) {
+                        td.innerHTML = value.value
+                        td.setAttribute("style", value.style)
+                    } else td.innerHTML = value
+                    this.nodeScriptReplace(td)
+                }
+            }
+        }
+
+        this.nodeScriptReplace = function (node) {
+            if (this.nodeScriptIs(node) === true) {
+                node.parentNode.replaceChild(this.nodeScriptClone(node), node);
+            } else {
+                let i = -1, children = node.childNodes;
+                while (++i < children.length) {
+                    this.nodeScriptReplace(children[i]);
+                }
+            }
+
+            return node;
+        }
+
+        this.nodeScriptClone = function (node) {
+            let script = document.createElement("script");
+            script.text = node.innerHTML;
+
+            let i = -1, attrs = node.attributes, attr;
+            while (++i < attrs.length) {
+                script.setAttribute((attr = attrs[i]).name, attr.value);
+            }
+            return script;
+        }
+
+        this.nodeScriptIs = function (node) {
+            return node.tagName === 'SCRIPT';
+        }
+    })()
+
+    window.call_DataFrame = function (f) {
+        return f();
+    };
+
+    let funQueue = window["kotlinQueues"] && window["kotlinQueues"]["DataFrame"];
+    if (funQueue) {
+        funQueue.forEach(function (f) {
+            f();
+        });
+        funQueue = [];
+    }
+})()
+
+/*<!--*/
+call_DataFrame(function() { DataFrame.addTable({ cols: [{ name: "<span title=\"name: String\">name</span>", children: [], rightAlign: false, values: ["Bob","Bob","Bob"] }, 
+{ name: "<span title=\"age: Int\">age</span>", children: [], rightAlign: true, values: ["<span class=\"formatted\" title=\"\"><span class=\"numbers\">20</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">20</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">20</span></span>"] }, 
+], id: 0, rootId: 0, totalRows: 3 } ) });
+/*-->*/
+
+call_DataFrame(function() { DataFrame.renderTable(0) });
+
+function sendHeight() {
+    const table = document.querySelector('table.dataframe');
+    if (!table) return;
+
+    let height = 0;
+    
+    const thead = table.querySelector('thead');
+    if (thead) height += thead.offsetHeight;
+    
+    const rows = table.querySelectorAll(':scope > tbody > tr');
+    rows.forEach(row => {
+        height += row.offsetHeight;
+    });
+    
+    height += getVerticalMargins(table) + 10;
+
+    window.parent.postMessage({ type: 'iframeHeight', height: Math.ceil(height) }, '*');
+}
+
+function getVerticalMargins(element) {
+    const style = getComputedStyle(element);
+    return parseFloat(style.marginTop) + parseFloat(style.marginBottom);
+}
+
+function repeatHeightCalculation(maxRetries = 10, interval = 100) {
+    let retries = 0;
+    const intervalId = setInterval(() => {
+        sendHeight();
+        retries++;
+        if (retries >= maxRetries) clearInterval(intervalId);
+    }, interval);
+}
+
+window.addEventListener('load', repeatHeightCalculation);
+
+const observer = new MutationObserver(() => repeatHeightCalculation(5, 50));
+observer.observe(document.querySelector('.dataframe'), {
+    childList: true,
+    subtree: true,
+    characterData: true,
+});
+
+
+</script>
+</html>
diff --git a/docs/StardustDocs/resources/api/duplicate/duplicateRows.html b/docs/StardustDocs/resources/api/duplicate/duplicateRows.html
new file mode 100644
index 0000000000..96788d2c17
--- /dev/null
+++ b/docs/StardustDocs/resources/api/duplicate/duplicateRows.html
@@ -0,0 +1,511 @@
+<html>
+<head>
+<style type="text/css">
+:root {
+    --background: #fff;
+    --background-odd: #f5f5f5;
+    --background-hover: #d9edfd;
+    --header-text-color: #474747;
+    --text-color: #848484;
+    --text-color-dark: #000;
+    --text-color-medium: #737373;
+    --text-color-pale: #b3b3b3;
+    --inner-border-color: #aaa;
+    --bold-border-color: #000;
+    --link-color: #296eaa;
+    --link-color-pale: #296eaa;
+    --link-hover: #1a466c;
+}
+
+:root[theme="dark"], :root [data-jp-theme-light="false"], .dataframe_dark{
+    --background: #303030;
+    --background-odd: #3c3c3c;
+    --background-hover: #464646;
+    --header-text-color: #dddddd;
+    --text-color: #b3b3b3;
+    --text-color-dark: #dddddd;
+    --text-color-medium: #b2b2b2;
+    --text-color-pale: #737373;
+    --inner-border-color: #707070;
+    --bold-border-color: #777777;
+    --link-color: #008dc0;
+    --link-color-pale: #97e1fb;
+    --link-hover: #00688e;
+}
+
+p.dataframe_description {
+    color: var(--text-color-dark);
+}
+
+table.dataframe {
+    font-family: "Helvetica Neue", Helvetica, Arial, sans-serif;
+    font-size: 12px;
+    background-color: var(--background);
+    color: var(--text-color-dark);
+    border: none;
+    border-collapse: collapse;
+}
+
+table.dataframe th, td {
+    padding: 6px;
+    border: 1px solid transparent;
+    text-align: left;
+}
+
+table.dataframe th {
+    background-color: var(--background);
+    color: var(--header-text-color);
+}
+
+table.dataframe td {
+    vertical-align: top;
+    white-space: nowrap;
+}
+
+table.dataframe th.bottomBorder {
+    border-bottom-color: var(--bold-border-color);
+}
+
+table.dataframe tbody > tr:nth-child(odd) {
+    background: var(--background-odd);
+}
+
+table.dataframe tbody > tr:nth-child(even) {
+    background: var(--background);
+}
+
+table.dataframe tbody > tr:hover {
+    background: var(--background-hover);
+}
+
+table.dataframe a {
+    cursor: pointer;
+    color: var(--link-color);
+    text-decoration: none;
+}
+
+table.dataframe tr:hover > td a {
+    color: var(--link-color-pale);
+}
+
+table.dataframe a:hover {
+    color: var(--link-hover);
+    text-decoration: underline;
+}
+
+table.dataframe img {
+    max-width: fit-content;
+}
+
+table.dataframe th.complex {
+    background-color: var(--background);
+    border: 1px solid var(--background);
+}
+
+table.dataframe .leftBorder {
+    border-left-color: var(--inner-border-color);
+}
+
+table.dataframe .rightBorder {
+    border-right-color: var(--inner-border-color);
+}
+
+table.dataframe .rightAlign {
+    text-align: right;
+}
+
+table.dataframe .expanderSvg {
+    width: 8px;
+    height: 8px;
+    margin-right: 3px;
+}
+
+table.dataframe .expander {
+    display: flex;
+    align-items: center;
+}
+
+/* formatting */
+
+table.dataframe .null {
+    color: var(--text-color-pale);
+}
+
+table.dataframe .structural {
+    color: var(--text-color-medium);
+    font-weight: bold;
+}
+
+table.dataframe .dataFrameCaption {
+    font-weight: bold;
+}
+
+table.dataframe .numbers {
+    color: var(--text-color-dark);
+}
+
+table.dataframe td:hover .formatted .structural, .null {
+    color: var(--text-color-dark);
+}
+
+table.dataframe tr:hover .formatted .structural, .null {
+    color: var(--text-color-dark);
+}
+
+
+body {
+    font-family: "JetBrains Mono",SFMono-Regular,Consolas,"Liberation Mono",Menlo,Courier,monospace;
+}       
+
+:root {
+    color: #19191C;
+    background-color: #fff;
+}
+
+:root[theme="dark"] {
+    background-color: #19191C;
+    color: #FFFFFFCC
+}
+
+details details {
+    margin-left: 20px; 
+}
+
+summary {
+    padding: 6px;
+}
+</style>
+</head>
+<body>
+<table class="dataframe" id="df_0"></table>
+
+<p class="dataframe_description"></p>
+</body>
+<script>
+(function () {
+    window.DataFrame = window.DataFrame || new (function () {
+        this.addTable = function (df) {
+            let cols = df.cols;
+            for (let i = 0; i < cols.length; i++) {
+                for (let c of cols[i].children) {
+                    cols[c].parent = i;
+                }
+            }
+            df.nrow = 0
+            for (let i = 0; i < df.cols.length; i++) {
+                if (df.cols[i].values.length > df.nrow) df.nrow = df.cols[i].values.length
+            }
+            if (df.id === df.rootId) {
+                df.expandedFrames = new Set()
+                df.childFrames = {}
+                const table = this.getTableElement(df.id)
+                table.df = df
+                for (let i = 0; i < df.cols.length; i++) {
+                    let col = df.cols[i]
+                    if (col.parent === undefined && col.children.length > 0) col.expanded = true
+                }
+            } else {
+                const rootDf = this.getTableData(df.rootId)
+                rootDf.childFrames[df.id] = df
+            }
+        }
+
+        this.computeRenderData = function (df) {
+            let result = []
+            let pos = 0
+            for (let col = 0; col < df.cols.length; col++) {
+                if (df.cols[col].parent === undefined)
+                    pos += this.computeRenderDataRec(df.cols, col, pos, 0, result, false, false)
+            }
+            for (let i = 0; i < result.length; i++) {
+                let row = result[i]
+                for (let j = 0; j < row.length; j++) {
+                    let cell = row[j]
+                    if (j === 0)
+                        cell.leftBd = false
+                    if (j < row.length - 1) {
+                        let nextData = row[j + 1]
+                        if (nextData.leftBd) cell.rightBd = true
+                        else if (cell.rightBd) nextData.leftBd = true
+                    } else cell.rightBd = false
+                }
+            }
+            return result
+        }
+
+        this.computeRenderDataRec = function (cols, colId, pos, depth, result, leftBorder, rightBorder) {
+            if (result.length === depth) {
+                const array = [];
+                if (pos > 0) {
+                    let j = 0
+                    for (let i = 0; j < pos; i++) {
+                        let c = result[depth - 1][i]
+                        j += c.span
+                        let copy = Object.assign({empty: true}, c)
+                        array.push(copy)
+                    }
+                }
+                result.push(array)
+            }
+            const col = cols[colId];
+            let size = 0;
+            if (col.expanded) {
+                let childPos = pos
+                for (let i = 0; i < col.children.length; i++) {
+                    let child = col.children[i]
+                    let childLeft = i === 0 && (col.children.length > 1 || leftBorder)
+                    let childRight = i === col.children.length - 1 && (col.children.length > 1 || rightBorder)
+                    let childSize = this.computeRenderDataRec(cols, child, childPos, depth + 1, result, childLeft, childRight)
+                    childPos += childSize
+                    size += childSize
+                }
+            } else {
+                for (let i = depth + 1; i < result.length; i++)
+                    result[i].push({id: colId, span: 1, leftBd: leftBorder, rightBd: rightBorder, empty: true})
+                size = 1
+            }
+            let left = leftBorder
+            let right = rightBorder
+            if (size > 1) {
+                left = true
+                right = true
+            }
+            result[depth].push({id: colId, span: size, leftBd: left, rightBd: right})
+            return size
+        }
+
+        this.getTableElement = function (id) {
+            return document.getElementById("df_" + id)
+        }
+
+        this.getTableData = function (id) {
+            return this.getTableElement(id).df
+        }
+
+        this.createExpander = function (isExpanded) {
+            const svgNs = "http://www.w3.org/2000/svg"
+            let svg = document.createElementNS(svgNs, "svg")
+            svg.classList.add("expanderSvg")
+            let path = document.createElementNS(svgNs, "path")
+            if (isExpanded) {
+                svg.setAttribute("viewBox", "0 -2 8 8")
+                path.setAttribute("d", "M1 0 l-1 1 4 4 4 -4 -1 -1 -3 3Z")
+            } else {
+                svg.setAttribute("viewBox", "-2 0 8 8")
+                path.setAttribute("d", "M1 0 l-1 1 3 3 -3 3 1 1 4 -4Z")
+            }
+            path.setAttribute("fill", "currentColor")
+            svg.appendChild(path)
+            return svg
+        }
+
+        this.renderTable = function (id) {
+
+            let table = this.getTableElement(id)
+
+            if (table === null) return
+
+            table.innerHTML = ""
+
+            let df = table.df
+            let rootDf = df.rootId === df.id ? df : this.getTableData(df.rootId)
+
+            // header
+            let header = document.createElement("thead")
+            table.appendChild(header)
+
+            let renderData = this.computeRenderData(df)
+            for (let j = 0; j < renderData.length; j++) {
+                let rowData = renderData[j]
+                let tr = document.createElement("tr");
+                let isLastRow = j === renderData.length - 1
+                header.appendChild(tr);
+                for (let i = 0; i < rowData.length; i++) {
+                    let cell = rowData[i]
+                    let th = document.createElement("th");
+                    th.setAttribute("colspan", cell.span)
+                    let colId = cell.id
+                    let col = df.cols[colId];
+                    if (!cell.empty) {
+                        if (col.children.length === 0) {
+                            th.innerHTML = col.name
+                        } else {
+                            let link = document.createElement("a")
+                            link.className = "expander"
+                            let that = this
+                            link.onclick = function () {
+                                col.expanded = !col.expanded
+                                that.renderTable(id)
+                            }
+                            link.appendChild(this.createExpander(col.expanded))
+                            link.innerHTML += col.name
+                            th.appendChild(link)
+                        }
+                    }
+                    let classes = (cell.leftBd ? " leftBorder" : "") + (cell.rightBd ? " rightBorder" : "")
+                    if (col.rightAlign)
+                        classes += " rightAlign"
+                    if (isLastRow)
+                        classes += " bottomBorder"
+                    if (classes.length > 0)
+                        th.setAttribute("class", classes)
+                    tr.appendChild(th)
+                }
+            }
+
+            // body
+            let body = document.createElement("tbody")
+            table.appendChild(body)
+
+            let columns = renderData.pop()
+            for (let row = 0; row < df.nrow; row++) {
+                let tr = document.createElement("tr");
+                body.appendChild(tr)
+                for (let i = 0; i < columns.length; i++) {
+                    let cell = columns[i]
+                    let td = document.createElement("td");
+                    let colId = cell.id
+                    let col = df.cols[colId]
+                    let classes = (cell.leftBd ? " leftBorder" : "") + (cell.rightBd ? " rightBorder" : "")
+                    if (col.rightAlign)
+                        classes += " rightAlign"
+                    if (classes.length > 0)
+                        td.setAttribute("class", classes)
+                    tr.appendChild(td)
+                    let value = col.values[row]
+                    if (value.frameId !== undefined) {
+                        let frameId = value.frameId
+                        let expanded = rootDf.expandedFrames.has(frameId)
+                        let link = document.createElement("a")
+                        link.className = "expander"
+                        let that = this
+                        link.onclick = function () {
+                            if (rootDf.expandedFrames.has(frameId))
+                                rootDf.expandedFrames.delete(frameId)
+                            else rootDf.expandedFrames.add(frameId)
+                            that.renderTable(id)
+                        }
+                        link.appendChild(this.createExpander(expanded))
+                        link.innerHTML += value.value
+                        if (expanded) {
+                            td.appendChild(link)
+                            td.appendChild(document.createElement("p"))
+                            const childTable = document.createElement("table")
+                            childTable.className = "dataframe"
+                            childTable.id = "df_" + frameId
+                            let childDf = rootDf.childFrames[frameId]
+                            childTable.df = childDf
+                            td.appendChild(childTable)
+                            this.renderTable(frameId)
+                            if (childDf.nrow !== childDf.totalRows) {
+                                const footer = document.createElement("p")
+                                footer.innerText = `... showing only top ${childDf.nrow} of ${childDf.totalRows} rows`
+                                td.appendChild(footer)
+                            }
+                        } else {
+                            td.appendChild(link)
+                        }
+                    } else if (value.style !== undefined) {
+                        td.innerHTML = value.value
+                        td.setAttribute("style", value.style)
+                    } else td.innerHTML = value
+                    this.nodeScriptReplace(td)
+                }
+            }
+        }
+
+        this.nodeScriptReplace = function (node) {
+            if (this.nodeScriptIs(node) === true) {
+                node.parentNode.replaceChild(this.nodeScriptClone(node), node);
+            } else {
+                let i = -1, children = node.childNodes;
+                while (++i < children.length) {
+                    this.nodeScriptReplace(children[i]);
+                }
+            }
+
+            return node;
+        }
+
+        this.nodeScriptClone = function (node) {
+            let script = document.createElement("script");
+            script.text = node.innerHTML;
+
+            let i = -1, attrs = node.attributes, attr;
+            while (++i < attrs.length) {
+                script.setAttribute((attr = attrs[i]).name, attr.value);
+            }
+            return script;
+        }
+
+        this.nodeScriptIs = function (node) {
+            return node.tagName === 'SCRIPT';
+        }
+    })()
+
+    window.call_DataFrame = function (f) {
+        return f();
+    };
+
+    let funQueue = window["kotlinQueues"] && window["kotlinQueues"]["DataFrame"];
+    if (funQueue) {
+        funQueue.forEach(function (f) {
+            f();
+        });
+        funQueue = [];
+    }
+})()
+
+/*<!--*/
+call_DataFrame(function() { DataFrame.addTable({ cols: [{ name: "<span title=\"name: String\">name</span>", children: [], rightAlign: false, values: ["Alice","Alice","Alice","Bob","Bob","Bob","Charlie","Charlie","Charlie"] }, 
+{ name: "<span title=\"age: Int\">age</span>", children: [], rightAlign: true, values: ["<span class=\"formatted\" title=\"\"><span class=\"numbers\">15</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">15</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">15</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">20</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">20</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">20</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">30</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">30</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">30</span></span>"] }, 
+], id: 0, rootId: 0, totalRows: 9 } ) });
+/*-->*/
+
+call_DataFrame(function() { DataFrame.renderTable(0) });
+
+function sendHeight() {
+    const table = document.querySelector('table.dataframe');
+    if (!table) return;
+
+    let height = 0;
+    
+    const thead = table.querySelector('thead');
+    if (thead) height += thead.offsetHeight;
+    
+    const rows = table.querySelectorAll(':scope > tbody > tr');
+    rows.forEach(row => {
+        height += row.offsetHeight;
+    });
+    
+    height += getVerticalMargins(table) + 10;
+
+    window.parent.postMessage({ type: 'iframeHeight', height: Math.ceil(height) }, '*');
+}
+
+function getVerticalMargins(element) {
+    const style = getComputedStyle(element);
+    return parseFloat(style.marginTop) + parseFloat(style.marginBottom);
+}
+
+function repeatHeightCalculation(maxRetries = 10, interval = 100) {
+    let retries = 0;
+    const intervalId = setInterval(() => {
+        sendHeight();
+        retries++;
+        if (retries >= maxRetries) clearInterval(intervalId);
+    }, interval);
+}
+
+window.addEventListener('load', repeatHeightCalculation);
+
+const observer = new MutationObserver(() => repeatHeightCalculation(5, 50));
+observer.observe(document.querySelector('.dataframe'), {
+    childList: true,
+    subtree: true,
+    characterData: true,
+});
+
+
+</script>
+</html>
diff --git a/docs/StardustDocs/resources/api/duplicate/duplicateRowsWhere_properties.html b/docs/StardustDocs/resources/api/duplicate/duplicateRowsWhere_properties.html
new file mode 100644
index 0000000000..10cecbfd9d
--- /dev/null
+++ b/docs/StardustDocs/resources/api/duplicate/duplicateRowsWhere_properties.html
@@ -0,0 +1,511 @@
+<html>
+<head>
+<style type="text/css">
+:root {
+    --background: #fff;
+    --background-odd: #f5f5f5;
+    --background-hover: #d9edfd;
+    --header-text-color: #474747;
+    --text-color: #848484;
+    --text-color-dark: #000;
+    --text-color-medium: #737373;
+    --text-color-pale: #b3b3b3;
+    --inner-border-color: #aaa;
+    --bold-border-color: #000;
+    --link-color: #296eaa;
+    --link-color-pale: #296eaa;
+    --link-hover: #1a466c;
+}
+
+:root[theme="dark"], :root [data-jp-theme-light="false"], .dataframe_dark{
+    --background: #303030;
+    --background-odd: #3c3c3c;
+    --background-hover: #464646;
+    --header-text-color: #dddddd;
+    --text-color: #b3b3b3;
+    --text-color-dark: #dddddd;
+    --text-color-medium: #b2b2b2;
+    --text-color-pale: #737373;
+    --inner-border-color: #707070;
+    --bold-border-color: #777777;
+    --link-color: #008dc0;
+    --link-color-pale: #97e1fb;
+    --link-hover: #00688e;
+}
+
+p.dataframe_description {
+    color: var(--text-color-dark);
+}
+
+table.dataframe {
+    font-family: "Helvetica Neue", Helvetica, Arial, sans-serif;
+    font-size: 12px;
+    background-color: var(--background);
+    color: var(--text-color-dark);
+    border: none;
+    border-collapse: collapse;
+}
+
+table.dataframe th, td {
+    padding: 6px;
+    border: 1px solid transparent;
+    text-align: left;
+}
+
+table.dataframe th {
+    background-color: var(--background);
+    color: var(--header-text-color);
+}
+
+table.dataframe td {
+    vertical-align: top;
+    white-space: nowrap;
+}
+
+table.dataframe th.bottomBorder {
+    border-bottom-color: var(--bold-border-color);
+}
+
+table.dataframe tbody > tr:nth-child(odd) {
+    background: var(--background-odd);
+}
+
+table.dataframe tbody > tr:nth-child(even) {
+    background: var(--background);
+}
+
+table.dataframe tbody > tr:hover {
+    background: var(--background-hover);
+}
+
+table.dataframe a {
+    cursor: pointer;
+    color: var(--link-color);
+    text-decoration: none;
+}
+
+table.dataframe tr:hover > td a {
+    color: var(--link-color-pale);
+}
+
+table.dataframe a:hover {
+    color: var(--link-hover);
+    text-decoration: underline;
+}
+
+table.dataframe img {
+    max-width: fit-content;
+}
+
+table.dataframe th.complex {
+    background-color: var(--background);
+    border: 1px solid var(--background);
+}
+
+table.dataframe .leftBorder {
+    border-left-color: var(--inner-border-color);
+}
+
+table.dataframe .rightBorder {
+    border-right-color: var(--inner-border-color);
+}
+
+table.dataframe .rightAlign {
+    text-align: right;
+}
+
+table.dataframe .expanderSvg {
+    width: 8px;
+    height: 8px;
+    margin-right: 3px;
+}
+
+table.dataframe .expander {
+    display: flex;
+    align-items: center;
+}
+
+/* formatting */
+
+table.dataframe .null {
+    color: var(--text-color-pale);
+}
+
+table.dataframe .structural {
+    color: var(--text-color-medium);
+    font-weight: bold;
+}
+
+table.dataframe .dataFrameCaption {
+    font-weight: bold;
+}
+
+table.dataframe .numbers {
+    color: var(--text-color-dark);
+}
+
+table.dataframe td:hover .formatted .structural, .null {
+    color: var(--text-color-dark);
+}
+
+table.dataframe tr:hover .formatted .structural, .null {
+    color: var(--text-color-dark);
+}
+
+
+body {
+    font-family: "JetBrains Mono",SFMono-Regular,Consolas,"Liberation Mono",Menlo,Courier,monospace;
+}       
+
+:root {
+    color: #19191C;
+    background-color: #fff;
+}
+
+:root[theme="dark"] {
+    background-color: #19191C;
+    color: #FFFFFFCC
+}
+
+details details {
+    margin-left: 20px; 
+}
+
+summary {
+    padding: 6px;
+}
+</style>
+</head>
+<body>
+<table class="dataframe" id="df_0"></table>
+
+<p class="dataframe_description"></p>
+</body>
+<script>
+(function () {
+    window.DataFrame = window.DataFrame || new (function () {
+        this.addTable = function (df) {
+            let cols = df.cols;
+            for (let i = 0; i < cols.length; i++) {
+                for (let c of cols[i].children) {
+                    cols[c].parent = i;
+                }
+            }
+            df.nrow = 0
+            for (let i = 0; i < df.cols.length; i++) {
+                if (df.cols[i].values.length > df.nrow) df.nrow = df.cols[i].values.length
+            }
+            if (df.id === df.rootId) {
+                df.expandedFrames = new Set()
+                df.childFrames = {}
+                const table = this.getTableElement(df.id)
+                table.df = df
+                for (let i = 0; i < df.cols.length; i++) {
+                    let col = df.cols[i]
+                    if (col.parent === undefined && col.children.length > 0) col.expanded = true
+                }
+            } else {
+                const rootDf = this.getTableData(df.rootId)
+                rootDf.childFrames[df.id] = df
+            }
+        }
+
+        this.computeRenderData = function (df) {
+            let result = []
+            let pos = 0
+            for (let col = 0; col < df.cols.length; col++) {
+                if (df.cols[col].parent === undefined)
+                    pos += this.computeRenderDataRec(df.cols, col, pos, 0, result, false, false)
+            }
+            for (let i = 0; i < result.length; i++) {
+                let row = result[i]
+                for (let j = 0; j < row.length; j++) {
+                    let cell = row[j]
+                    if (j === 0)
+                        cell.leftBd = false
+                    if (j < row.length - 1) {
+                        let nextData = row[j + 1]
+                        if (nextData.leftBd) cell.rightBd = true
+                        else if (cell.rightBd) nextData.leftBd = true
+                    } else cell.rightBd = false
+                }
+            }
+            return result
+        }
+
+        this.computeRenderDataRec = function (cols, colId, pos, depth, result, leftBorder, rightBorder) {
+            if (result.length === depth) {
+                const array = [];
+                if (pos > 0) {
+                    let j = 0
+                    for (let i = 0; j < pos; i++) {
+                        let c = result[depth - 1][i]
+                        j += c.span
+                        let copy = Object.assign({empty: true}, c)
+                        array.push(copy)
+                    }
+                }
+                result.push(array)
+            }
+            const col = cols[colId];
+            let size = 0;
+            if (col.expanded) {
+                let childPos = pos
+                for (let i = 0; i < col.children.length; i++) {
+                    let child = col.children[i]
+                    let childLeft = i === 0 && (col.children.length > 1 || leftBorder)
+                    let childRight = i === col.children.length - 1 && (col.children.length > 1 || rightBorder)
+                    let childSize = this.computeRenderDataRec(cols, child, childPos, depth + 1, result, childLeft, childRight)
+                    childPos += childSize
+                    size += childSize
+                }
+            } else {
+                for (let i = depth + 1; i < result.length; i++)
+                    result[i].push({id: colId, span: 1, leftBd: leftBorder, rightBd: rightBorder, empty: true})
+                size = 1
+            }
+            let left = leftBorder
+            let right = rightBorder
+            if (size > 1) {
+                left = true
+                right = true
+            }
+            result[depth].push({id: colId, span: size, leftBd: left, rightBd: right})
+            return size
+        }
+
+        this.getTableElement = function (id) {
+            return document.getElementById("df_" + id)
+        }
+
+        this.getTableData = function (id) {
+            return this.getTableElement(id).df
+        }
+
+        this.createExpander = function (isExpanded) {
+            const svgNs = "http://www.w3.org/2000/svg"
+            let svg = document.createElementNS(svgNs, "svg")
+            svg.classList.add("expanderSvg")
+            let path = document.createElementNS(svgNs, "path")
+            if (isExpanded) {
+                svg.setAttribute("viewBox", "0 -2 8 8")
+                path.setAttribute("d", "M1 0 l-1 1 4 4 4 -4 -1 -1 -3 3Z")
+            } else {
+                svg.setAttribute("viewBox", "-2 0 8 8")
+                path.setAttribute("d", "M1 0 l-1 1 3 3 -3 3 1 1 4 -4Z")
+            }
+            path.setAttribute("fill", "currentColor")
+            svg.appendChild(path)
+            return svg
+        }
+
+        this.renderTable = function (id) {
+
+            let table = this.getTableElement(id)
+
+            if (table === null) return
+
+            table.innerHTML = ""
+
+            let df = table.df
+            let rootDf = df.rootId === df.id ? df : this.getTableData(df.rootId)
+
+            // header
+            let header = document.createElement("thead")
+            table.appendChild(header)
+
+            let renderData = this.computeRenderData(df)
+            for (let j = 0; j < renderData.length; j++) {
+                let rowData = renderData[j]
+                let tr = document.createElement("tr");
+                let isLastRow = j === renderData.length - 1
+                header.appendChild(tr);
+                for (let i = 0; i < rowData.length; i++) {
+                    let cell = rowData[i]
+                    let th = document.createElement("th");
+                    th.setAttribute("colspan", cell.span)
+                    let colId = cell.id
+                    let col = df.cols[colId];
+                    if (!cell.empty) {
+                        if (col.children.length === 0) {
+                            th.innerHTML = col.name
+                        } else {
+                            let link = document.createElement("a")
+                            link.className = "expander"
+                            let that = this
+                            link.onclick = function () {
+                                col.expanded = !col.expanded
+                                that.renderTable(id)
+                            }
+                            link.appendChild(this.createExpander(col.expanded))
+                            link.innerHTML += col.name
+                            th.appendChild(link)
+                        }
+                    }
+                    let classes = (cell.leftBd ? " leftBorder" : "") + (cell.rightBd ? " rightBorder" : "")
+                    if (col.rightAlign)
+                        classes += " rightAlign"
+                    if (isLastRow)
+                        classes += " bottomBorder"
+                    if (classes.length > 0)
+                        th.setAttribute("class", classes)
+                    tr.appendChild(th)
+                }
+            }
+
+            // body
+            let body = document.createElement("tbody")
+            table.appendChild(body)
+
+            let columns = renderData.pop()
+            for (let row = 0; row < df.nrow; row++) {
+                let tr = document.createElement("tr");
+                body.appendChild(tr)
+                for (let i = 0; i < columns.length; i++) {
+                    let cell = columns[i]
+                    let td = document.createElement("td");
+                    let colId = cell.id
+                    let col = df.cols[colId]
+                    let classes = (cell.leftBd ? " leftBorder" : "") + (cell.rightBd ? " rightBorder" : "")
+                    if (col.rightAlign)
+                        classes += " rightAlign"
+                    if (classes.length > 0)
+                        td.setAttribute("class", classes)
+                    tr.appendChild(td)
+                    let value = col.values[row]
+                    if (value.frameId !== undefined) {
+                        let frameId = value.frameId
+                        let expanded = rootDf.expandedFrames.has(frameId)
+                        let link = document.createElement("a")
+                        link.className = "expander"
+                        let that = this
+                        link.onclick = function () {
+                            if (rootDf.expandedFrames.has(frameId))
+                                rootDf.expandedFrames.delete(frameId)
+                            else rootDf.expandedFrames.add(frameId)
+                            that.renderTable(id)
+                        }
+                        link.appendChild(this.createExpander(expanded))
+                        link.innerHTML += value.value
+                        if (expanded) {
+                            td.appendChild(link)
+                            td.appendChild(document.createElement("p"))
+                            const childTable = document.createElement("table")
+                            childTable.className = "dataframe"
+                            childTable.id = "df_" + frameId
+                            let childDf = rootDf.childFrames[frameId]
+                            childTable.df = childDf
+                            td.appendChild(childTable)
+                            this.renderTable(frameId)
+                            if (childDf.nrow !== childDf.totalRows) {
+                                const footer = document.createElement("p")
+                                footer.innerText = `... showing only top ${childDf.nrow} of ${childDf.totalRows} rows`
+                                td.appendChild(footer)
+                            }
+                        } else {
+                            td.appendChild(link)
+                        }
+                    } else if (value.style !== undefined) {
+                        td.innerHTML = value.value
+                        td.setAttribute("style", value.style)
+                    } else td.innerHTML = value
+                    this.nodeScriptReplace(td)
+                }
+            }
+        }
+
+        this.nodeScriptReplace = function (node) {
+            if (this.nodeScriptIs(node) === true) {
+                node.parentNode.replaceChild(this.nodeScriptClone(node), node);
+            } else {
+                let i = -1, children = node.childNodes;
+                while (++i < children.length) {
+                    this.nodeScriptReplace(children[i]);
+                }
+            }
+
+            return node;
+        }
+
+        this.nodeScriptClone = function (node) {
+            let script = document.createElement("script");
+            script.text = node.innerHTML;
+
+            let i = -1, attrs = node.attributes, attr;
+            while (++i < attrs.length) {
+                script.setAttribute((attr = attrs[i]).name, attr.value);
+            }
+            return script;
+        }
+
+        this.nodeScriptIs = function (node) {
+            return node.tagName === 'SCRIPT';
+        }
+    })()
+
+    window.call_DataFrame = function (f) {
+        return f();
+    };
+
+    let funQueue = window["kotlinQueues"] && window["kotlinQueues"]["DataFrame"];
+    if (funQueue) {
+        funQueue.forEach(function (f) {
+            f();
+        });
+        funQueue = [];
+    }
+})()
+
+/*<!--*/
+call_DataFrame(function() { DataFrame.addTable({ cols: [{ name: "<span title=\"name: String\">name</span>", children: [], rightAlign: false, values: ["Alice","Bob","Bob","Bob","Charlie","Charlie","Charlie"] }, 
+{ name: "<span title=\"age: Int\">age</span>", children: [], rightAlign: true, values: ["<span class=\"formatted\" title=\"\"><span class=\"numbers\">15</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">20</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">20</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">20</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">30</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">30</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">30</span></span>"] }, 
+], id: 0, rootId: 0, totalRows: 7 } ) });
+/*-->*/
+
+call_DataFrame(function() { DataFrame.renderTable(0) });
+
+function sendHeight() {
+    const table = document.querySelector('table.dataframe');
+    if (!table) return;
+
+    let height = 0;
+    
+    const thead = table.querySelector('thead');
+    if (thead) height += thead.offsetHeight;
+    
+    const rows = table.querySelectorAll(':scope > tbody > tr');
+    rows.forEach(row => {
+        height += row.offsetHeight;
+    });
+    
+    height += getVerticalMargins(table) + 10;
+
+    window.parent.postMessage({ type: 'iframeHeight', height: Math.ceil(height) }, '*');
+}
+
+function getVerticalMargins(element) {
+    const style = getComputedStyle(element);
+    return parseFloat(style.marginTop) + parseFloat(style.marginBottom);
+}
+
+function repeatHeightCalculation(maxRetries = 10, interval = 100) {
+    let retries = 0;
+    const intervalId = setInterval(() => {
+        sendHeight();
+        retries++;
+        if (retries >= maxRetries) clearInterval(intervalId);
+    }, interval);
+}
+
+window.addEventListener('load', repeatHeightCalculation);
+
+const observer = new MutationObserver(() => repeatHeightCalculation(5, 50));
+observer.observe(document.querySelector('.dataframe'), {
+    childList: true,
+    subtree: true,
+    characterData: true,
+});
+
+
+</script>
+</html>
diff --git a/docs/StardustDocs/topics/_shadow_resources.md b/docs/StardustDocs/topics/_shadow_resources.md
index 7d244123b0..00adacb9b5 100644
--- a/docs/StardustDocs/topics/_shadow_resources.md
+++ b/docs/StardustDocs/topics/_shadow_resources.md
@@ -97,6 +97,12 @@
 <resource src="dropNullsWhereAllNull.html"></resource>
 <resource src="dropNullsWhereAllNullSelector.html"></resource>
 <resource src="dropWhere_properties.html"></resource>
+<resource src="duplicateDataFrame.html"></resource>
+<resource src="duplicateDataFrameConcat.html"></resource>
+<resource src="duplicateDf.html"></resource>
+<resource src="duplicateRow.html"></resource>
+<resource src="duplicateRows.html"></resource>
+<resource src="duplicateRowsWhere_properties.html"></resource>
 <resource src="fillDf.html"></resource>
 <resource src="fillNA.html"></resource>
 <resource src="fillNaNs.html"></resource>
diff --git a/docs/StardustDocs/topics/appendDuplicate.md b/docs/StardustDocs/topics/appendDuplicate.md
index 13653e069c..263b20dde7 100644
--- a/docs/StardustDocs/topics/appendDuplicate.md
+++ b/docs/StardustDocs/topics/appendDuplicate.md
@@ -1,4 +1,4 @@
 [//]: # (title: Append / duplicate rows)
 
 * [`append`](append.md) — append new rows
-* [`duplicate`](duplicate.md) — duplicate selected rows
+* [`duplicate`](duplicate.md) — repeat rows or whole dataframes
diff --git a/docs/StardustDocs/topics/duplicate.md b/docs/StardustDocs/topics/duplicate.md
index 1728f1f91c..568467a97f 100644
--- a/docs/StardustDocs/topics/duplicate.md
+++ b/docs/StardustDocs/topics/duplicate.md
@@ -1,20 +1,151 @@
 [//]: # (title: duplicate)
 
-Returns [`DataFrame`](DataFrame.md) with original [`DataRow`](DataRow.md) repeated `n` times.
+<!---IMPORT org.jetbrains.kotlinx.dataframe.samples.api.DuplicateSamples-->
+
+Repeats rows or whole dataframes:
+[`duplicateRows`](#duplicaterows) repeats rows inside a [`DataFrame`](DataFrame.md),
+[`duplicate`](#duplicate-on-a-datarow) on a [`DataRow`](DataRow.md) makes a [`DataFrame`](DataFrame.md) out of copies
+of the row, and [`duplicate`](#duplicate-on-a-dataframe) on a [`DataFrame`](DataFrame.md) makes a
+[`FrameColumn`](DataColumn.md#framecolumn) out of copies of the whole dataframe.
+
+**Related operations**: [](appendDuplicate.md)
+
+The number of copies `n` counts the original too, so `n = 1` gives one copy.
+`n` must be greater than 0.
+For `n = 0` or a negative `n`, every `duplicate` and `duplicateRows` call throws an `IllegalArgumentException`.
+
+Every example on this page uses the same [`DataFrame`](DataFrame.md):
+
+<!---FUN duplicateDf-->
+
+```kotlin
+df
+```
+
+<!---END-->
+<inline-frame src="./resources/duplicateDf.html" width="100%" height="500px"></inline-frame>
+
+## duplicateRows
+
+Returns a [`DataFrame`](DataFrame.md) where every row is repeated `n` times.
+The copies of a row come right after it, so the order of the rows stays the same.
+The examples use the `df` shown at the top of this page.
+
+```text
+duplicateRows(n): DataFrame
+duplicateRows(n) { rowCondition }: DataFrame
+```
+
+<!---FUN duplicateRows-->
+
+```kotlin
+df.duplicateRows(3)
+```
+
+<!---END-->
+<inline-frame src="./resources/duplicateRows.html" width="100%" height="500px"></inline-frame>
+
+With a [row condition](DataRow.md#row-conditions), only the rows that match it are repeated.
+The other rows appear once, as before:
+
+<!---FUN duplicateRowsWhere-->
+<tabs>
+<tab title="Properties">
+
+```kotlin
+df.duplicateRows(3) { age > 18 }
+```
+
+</tab>
+<tab title="Strings">
+
+```kotlin
+df.duplicateRows(3) { "age"<Int>() > 18 }
+```
+
+</tab></tabs>
+<!---END-->
+<inline-frame src="./resources/duplicateRowsWhere_properties.html" width="100%" height="500px"></inline-frame>
+
+Values in column groups and frame columns are repeated together with their rows.
+The column names and types stay the same.
+
+Don't confuse `duplicateRows` with [`distinct`](distinct.md), which removes repeated rows.
+
+## duplicate on a DataRow
+
+Returns a [`DataFrame`](DataFrame.md) with `n` rows, each of them a copy of the row.
+The example uses the `df` shown at the top of this page.
+
 ```text
 DataRow.duplicate(n): DataFrame
 ```
 
-Returns [`FrameColumn`](DataColumn.md#framecolumn) with original [`DataFrame`](DataFrame.md) repeated `n` times. 
-Resulting [`FrameColumn`](DataColumn.md#framecolumn) will have an empty [`name`](DataColumn.md#properties).
+<!---FUN duplicateRow-->
 
-**Related operations**: [](appendDuplicate.md)
+```kotlin
+df[1].duplicate(3)
+```
+
+<!---END-->
+<inline-frame src="./resources/duplicateRow.html" width="100%" height="500px"></inline-frame>
+
+The result has the same columns as the dataframe the row comes from,
+column groups and frame columns included.
+The type of each column follows the value in the row:
+a nullable column whose value in the row is not `null` becomes non-nullable in the result.
+Here `name` is `String?` in `people`, and `String` in the copies of the first row:
+
+<!---FUN duplicateRowNullable-->
+
+```kotlin
+val people = dataFrameOf(
+    "name" to listOf("Alice", null),
+    "age" to listOf(15, 20),
+)
+people[0].duplicate(2).schema()
+```
+
+Output:
 
 ```text
-DataFrame.duplicate(n): FrameColumn
+name: String
+age: Int
 ```
 
-Returns [`DataFrame`](DataFrame.md) where rows that satisfy to the given [condition](DataRow.md#row-conditions) are repeated `n` times. If `rowCondition` is not specified all rows will be duplicated.
+<!---END-->
+
+## duplicate on a DataFrame
+
+Returns a [`FrameColumn`](DataColumn.md#framecolumn) with `n` cells, each holding the whole dataframe.
+The column has an empty name.
+The example uses the `df` shown at the top of this page.
+
 ```text
-DataFrame.duplicateRows(n) [ { rowCondition } ]: DataFrame
+DataFrame.duplicate(n): FrameColumn
 ```
+
+<!---FUN duplicateDataFrame-->
+
+```kotlin
+df.duplicate(3)
+```
+
+<!---END-->
+<inline-frame src="./resources/duplicateDataFrame.html" width="100%" height="500px"></inline-frame>
+
+A dataframe gives a column without a name the name `untitled`, so the table above shows it this way.
+
+To get one [`DataFrame`](DataFrame.md) with all rows of `df`, followed by all rows of `df` again,
+[`concat`](concat.md) the copies:
+
+<!---FUN duplicateDataFrameConcat-->
+
+```kotlin
+df.duplicate(2).concat()
+```
+
+<!---END-->
+<inline-frame src="./resources/duplicateDataFrameConcat.html" width="100%" height="500px"></inline-frame>
+
+**See also**: [`append`](append.md), [`concat`](concat.md), [`distinct`](distinct.md).
diff --git a/samples/build.gradle.kts b/samples/build.gradle.kts
index f46d942b24..140a86943a 100644
--- a/samples/build.gradle.kts
+++ b/samples/build.gradle.kts
@@ -124,6 +124,7 @@ korro {
                 include("countDistinct.md")
                 include("fill.md")
                 include("drop.md")
+                include("duplicate.md")
                 include("filter.md")
                 include("count.md")
                 include("valueCounts.md")
diff --git a/samples/src/test/kotlin/org/jetbrains/kotlinx/dataframe/samples/api/DuplicateSamples.kt b/samples/src/test/kotlin/org/jetbrains/kotlinx/dataframe/samples/api/DuplicateSamples.kt
new file mode 100644
index 0000000000..c828969785
--- /dev/null
+++ b/samples/src/test/kotlin/org/jetbrains/kotlinx/dataframe/samples/api/DuplicateSamples.kt
@@ -0,0 +1,119 @@
+package org.jetbrains.kotlinx.dataframe.samples.api
+
+import io.kotest.matchers.shouldBe
+import org.jetbrains.kotlinx.dataframe.DataFrame
+import org.jetbrains.kotlinx.dataframe.annotations.DataSchema
+import org.jetbrains.kotlinx.dataframe.api.cast
+import org.jetbrains.kotlinx.dataframe.api.concat
+import org.jetbrains.kotlinx.dataframe.api.dataFrameOf
+import org.jetbrains.kotlinx.dataframe.api.duplicate
+import org.jetbrains.kotlinx.dataframe.api.duplicateRows
+import org.jetbrains.kotlinx.dataframe.api.schema
+import org.jetbrains.kotlinx.dataframe.api.toDataFrame
+import org.jetbrains.kotlinx.dataframe.samples.DataFrameSampleHelper
+import org.junit.Test
+
+class DuplicateSamples : DataFrameSampleHelper("duplicate", "api") {
+
+    @DataSchema
+    interface NameAndAge {
+        val name: String
+        val age: Int
+    }
+
+    // the same dataframe as in the KDoc examples of `duplicate` and `duplicateRows`
+    private val df: DataFrame<NameAndAge> = dataFrameOf(
+        "name" to listOf("Alice", "Bob", "Charlie"),
+        "age" to listOf(15, 20, 30),
+    ).cast()
+
+    @Test
+    fun duplicateDf() {
+        // SampleStart
+        df
+            // SampleEnd
+            .saveDfHtmlSample()
+    }
+
+    @Test
+    fun duplicateRows() {
+        // SampleStart
+        df.duplicateRows(3)
+            // SampleEnd
+            .also {
+                it.name.toList() shouldBe
+                    listOf("Alice", "Alice", "Alice", "Bob", "Bob", "Bob", "Charlie", "Charlie", "Charlie")
+            }
+            .saveDfHtmlSample()
+    }
+
+    @Test
+    fun duplicateRowsWhere_properties() {
+        // SampleStart
+        df.duplicateRows(3) { age > 18 }
+            // SampleEnd
+            .also {
+                it.name.toList() shouldBe listOf("Alice", "Bob", "Bob", "Bob", "Charlie", "Charlie", "Charlie")
+            }
+            .saveDfHtmlSample()
+    }
+
+    @Test
+    fun duplicateRowsWhere_strings() {
+        // SampleStart
+        df.duplicateRows(3) { "age"<Int>() > 18 }
+            // SampleEnd
+            .also {
+                it["name"].toList() shouldBe listOf("Alice", "Bob", "Bob", "Bob", "Charlie", "Charlie", "Charlie")
+            }
+    }
+
+    @Test
+    fun duplicateRow() {
+        // SampleStart
+        df[1].duplicate(3)
+            // SampleEnd
+            .also { it.name.toList() shouldBe listOf("Bob", "Bob", "Bob") }
+            .saveDfHtmlSample()
+    }
+
+    @Test
+    fun duplicateRowNullable() {
+        // SampleStart
+        val people = dataFrameOf(
+            "name" to listOf("Alice", null),
+            "age" to listOf(15, 20),
+        )
+        people[0].duplicate(2).schema()
+            // SampleEnd
+            .toString()
+            .also {
+                people.schema().toString() shouldBe "name: String?\nage: Int"
+                it shouldBe "name: String\nage: Int"
+            }
+            .saveTextSample()
+    }
+
+    @Test
+    fun duplicateDataFrame() {
+        // SampleStart
+        df.duplicate(3)
+            // SampleEnd
+            .also {
+                it.name() shouldBe ""
+                it.values() shouldBe listOf(df, df, df)
+                // a dataframe gives a column without a name the name `untitled`, so the table shows it this way
+                it.toDataFrame().columnNames() shouldBe listOf("untitled")
+            }
+            .saveDfHtmlSample()
+    }
+
+    @Test
+    fun duplicateDataFrameConcat() {
+        // SampleStart
+        df.duplicate(2).concat()
+            // SampleEnd
+            .also { it.name.toList() shouldBe listOf("Alice", "Bob", "Charlie", "Alice", "Bob", "Charlie") }
+            .saveDfHtmlSample()
+    }
+}