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Awesome List
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
GitHub stars and default-branch commits for wilsonfreitas/awesome-quant.
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Extremely fast Query Engine for DataFrames, written in Rust
Production-grade Rust-native trading engine with deterministic event-driven architecture
Open-source Rust framework for building event-driven live-trading & backtesting systems
Rust library for quantitative finance.
Open source math and physics engine that executes MATLAB-syntax code. Features a modern compiler, automatic GPU acceleration for large calculations, and support for math on geometry / FEA calculations.
High performance, low-latency backtesting engine for testing quantitative trading strategies on historical and live data in Rust
A rust library for financial data analysis
Rust crate of validated, decimal-precise trading building blocks: price types, L2 order book, tick-to-OHLCV aggregation, hundreds of streaming indicators, position ledger, risk rules, Black-Scholes Greeks and a walk-forward backtester. On crates.io.
Rust streaming primitives for real-time market data: exchange tick normalization (Binance, Coinbase, Alpaca, Polygon), WebSocket reconnect, lock-free SPSC ring buffer, OHLCV bars, order books, feed health and microstructure analytics (OFI, VPIN). On crates.io.
Trading terminal for macOS. Scans 3 375 symbols across 12 timeframes to surface what's moving together. Tauri + Python + React. Open source, runs on your machine.