awesome-quant is a curated list of libraries, packages, and resources for quantitative finance development.
The project addresses the challenge of discovering tools and resources scattered across the quantitative finance ecosystem. Rather than building software itself, it aggregates existing solutions—libraries for algorithmic trading, financial data access, technical analysis, and trading strategy implementation—organizing them into a browsable reference that developers can search through to find relevant tools for their specific needs.
Developers building quantitative trading systems, backtesting frameworks, or financial analysis tools should use this list when evaluating which libraries to integrate into their projects. It suits anyone entering quantitative finance who needs an overview of available packages, as well as experienced practitioners looking for specialized tools they may have missed. The list covers a broad range of concerns including data sources, trading engines, strategy frameworks, and analysis utilities, making it useful whether you are building a complete trading system or adding a single capability to an existing one.
The project maintains an organized, categorized structure that evolves as new tools emerge in the quantitative finance space. Contributions are accepted to keep the list current with the ecosystem's development. The resource is presented as a static HTML site alongside the repository itself, making it accessible both as a browsable reference and as a version-controlled collection that can be forked and customized for specific use cases.
