awesome-quant
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
Explore a collection of useful tools and resources for quantitative finance and trading.
From the README
- polars - Python - Polars is a blazingly fast DataFrame library for manipulating structured data. GitHub
- quantdsl - Python - Domain specific language for quantitative analytics in finance and trading.
- statistics - Python - Builtin Python library for all basic statistical calculations.
Excerpts from the project README on GitHub. Copyright and licensing remain with the respective authors.
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awesome-quant has 29.3k stars on GitHub. It has been forked 3.9k times. awesome-quant is written mainly in HTML. It has been in active development since 2015. Its main topics are algorithmic-trading-engine, algorithmic-trading-library, algotrading, arbitrage-bot.
What is awesome-quant?
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
Is awesome-quant open source?
awesome-quant is an open-source project.
Is awesome-quant free?
Yes. awesome-quant is free and open source — you can use, modify and self-host it.
What language is awesome-quant written in?
awesome-quant is written mainly in HTML.
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