pricing-engine

Open Source Pricing & Packaging Infrastructure

High-performance Rust quantitative finance library.

Real-time price recommendation engine with demand forecasting and A/B test infrastructure

getmage.io provides smart pricing for your in-app purchases. Distributing products globally should not be a one price fits all strategy. Get started with Mage to scale your products worldwide!

Modular multi-asset-class Monte Carlo engine for pricing exotic derivatives and structured products with calibrated implied volatility surfaces (Heston, local vol, SVI) and a user-friendly Django web interface.

Vukabid helps SMEs and enterprises identify, analyze, and win high-probability tenders with data-driven precision, By leveraging neural matching, automated compliance orchestration, and historical price benchmarking.

Construct volatility surfaces from live equity options data using no-arbitrage constraints, SVI calibration, and provide local vol, Greeks, and diagnostics.

getmage.io provides smart pricing for your in-app purchases. Distributing products globally should not be a one price fits all strategy. Get started with Mage to scale your products worldwide!

A microservice for calculating transaction fees and commissions with rule-based pricing engine built on .NET 9 and PostgreSQL

💰 ML-powered dynamic pricing engine for e-commerce. Tracks competitor prices, estimates demand, and auto-adjusts product prices with margin guardrails. Built with FastAPI, React, and scikit-learn.

Event-driven dynamic pricing engine for e-commerce using Go, Kafka, Redis, Oracle, and Next.js. It processes user behavior signals, computes demand-weighted prices in near real time, exposes REST + WebSocket APIs, supports manual overrides, and visualizes price history on a live dashboard.

Portfolio presentation for WinCalc, a window and door configure-price-quote application

Case study: campaign/discount pricing engine for a scan-based inventory system (private codebase)

Python CLI application that generates house cleaning and yard service quotes using structured pricing rules, validation, and automated tests.

Scrapes competitor price points via headless browser and generates Gemini AI pricing advice.

Java, Maven, JUnit, Git (In Progress). Built a Java pricing engine modeling channel-specific discount, campaign cost and margin rules using OOP, interfaces, polymorphism and layered architecture.

🧾 Streamline B2B sales with this AI-driven microservice for accurate quotation computations and bilingual email generation, built with FastAPI and Pydantic.

Open-source dynamic pricing engine for ride-haling apps

Exploring market maker models for e-commerce dynamic pricing

A scalable stochastic simulation engine for derivative pricing that models uncertainty through probabilistic path sampling. Designed for high-dimensional financial systems, enabling accurate valuation of complex and path-dependent options.