47,133 repositories indexed
73–87 of 87 · Most stars
Flare is a lightweight, developer-friendly Swift framework that simplifies working with in-app purchases. It provides a clean, unified API over StoreKit and StoreKit 2, includes async/await-ready workflows, and offers built-in UI components for a seamless integration experience.
Streaming-first technical indicators with a Rust core: native Python, Node.js and WebAssembly bindings plus a C ABI hub for C, C++, C#, Go, Java and R. 514 indicators, O(1) per-tick updates, no system dependencies. Drop-in TA-Lib replacement.
A currency computations package.
:chart_with_upwards_trend: A live cryptocurrency historical trade data blotter. Download live historical trade data from any cryptoexchange, be it for machine learning, backtesting/visualizing trading strategies or for Quantopian/Zipline.
MatchFlow is a full-stack invoice processing and purchase-order matching system—built on Clean Architecture with a React+Nginx front-end, a .NET 6 API back-end, Azure Form Recognizer OCR, Azure Blob Storage, and Docker Compose for one-command local setup.
MyFin Budget - Rest API for the personal finances platform that'll help you budget, keep track of your income/spending and forecast your financial future.
💳 Capacitor plugin for Stripe Terminal (credit card readers)
Wisp CLI — Interactive trading platform for backtesting and live trading across spot, perpetual futures, options, and prediction markets
Bitcoin - MACD Crossover Trading Strategy Backtest
A JS library for Web Monetization revenue splitting. #gftwhackathon Winner.
:arrow_forward: A .NET core library to handle the login to Backpack.tf. Backpack.tf is a trading site for Team Fortress 2, Counter-Strike: Global Offensive, and Dota 2. Community item pricing, item trading and stats, and much more.
Simple, modern ETH backtesting project using Pandas/Numpy: data prep, MA signals, portfolio simulation, and result visualization.
A comprehensive, zero-dependency Go SDK for the Paystack API
Chrome extension in elm that shows the latest currency bitcoins from Brazilian exchanges
Comparing the performance of Stacked Ensemble Learning & machine learning algorithms like Random Forest, Decision Tree, Adaboost, Gradient Boost and XGBoost Classifier in Python for Stock Market Trend Prediction.