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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 runtime for math. Write MATLAB syntax, run on CPU + GPU across platforms (Mac/Win/Linux/Web).
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
Financial market primitives — price types, order book, OHLCV, indicators, position ledger, risk monitor
Real-time market data streaming primitives — 100K+ ticks/second ingestion pipeline
Trading terminal for macOS. Scans 3 370 symbols across 12 timeframes to surface what's moving together. Tauri + Python + React. Open source, runs on your machine.