callbacks

Async utilities for node and the browser

The Standard Webhooks specification

👜 Tiny and fast reactive/iterable programming library

Reference for OBS Studio Python API

An essay exploring different async techniques in JavaScript.

Robust and efficient library for management of asynchronous operations in C#/.Net.

Example Project & Guide for mastering Promises in Node/JavaScript. Feat. proposed 'Functional River' pattern

This tool leverages the Process Forking technique using the RtlCreateProcessReflection API to clone the lsass.exe process. Once the clone is created, it utilizes MINIDUMP_CALLBACK_INFORMATION callbacks to generate a memory dump of the cloned process

A simple, header only event bus library written in modern C++17.

A web crawler (for bug hunting) that gathers more than you can imagine.

Callback Hell is a Ruby gem that analyzes your Ruby on Rails application models and provides actionable insights on callbacks and validations. Use it to identify models that might benefit from refactoring, spot callback pollution from gems and associations, and keep your models clean and maintainable.

A companion guide for the blog post series, LangChain Decoded.

superagent-inspired Node.js lib (w/ **some** TypeScript support) for accessing Riot's League of Legend's API (discord: cnguy#3614)

Python observer pattern (callback/event system). Modeled after Qt Signals & Slots (but independent of Qt)

Make a callback- or promise-based function support both promises and callbacks.

Turn any callback-based listener into an async iterator.

Enable WordPress actions and filter callbacks to be called exactly once.

Keep smooth running averages without using arrays! Uses exponential moving averages and only 8-bytes no matter how many samples! No looping! No Arrays! Constant Compute Time! The sample size is adjustable at runtime. The average is available and accurate even before N samples have been received. Now with Callbacks!

Standalone reimplementation of //base module from Chromium

Tensorflow 2 Tutorials (use tensorflow and keras in a better way!)