awesome-quant
A curated list of insanely awesome libraries, packages, and resources for Quantitative Finance (Quants).
What is awesome-quant?
Awesome Quant is a curated, community-maintained list of open-source software, libraries, and resources specifically for quantitative finance. It aggregates tools for tasks like algorithmic trading, derivatives pricing, portfolio optimization, risk management, and financial data analysis. The project solves the problem of discovering and evaluating the vast ecosystem of quant tools across multiple programming languages.
Quantitative analysts (quants), algorithmic traders, financial engineers, data scientists in finance, and academic researchers who need to find and compare open-source tools for financial modeling and analysis.
Developers and quants choose Awesome Quant because it provides a single, trusted, and extensively categorized directory of the best open-source quant resources, saving significant research time. Its multi-language coverage and focus on practical, implementation-ready tools make it uniquely valuable compared to generic software lists.
Overview
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
Use Cases
Best For
- Finding Python libraries for options pricing and derivatives modeling
Related Projects
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