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A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
| Date | Stars |
|---|---|
| 2026-07-24 | 28174 |
| 2026-07-25 | 28198 |
| 2026-07-28 | 28198 |
| 2026-07-30 | 28198 |
| 2026-08-06 | 28198 |
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# Awesome Quant A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance). [](https://awesome.re) ## Contents - [Numerical Libraries & Data Structures](#numerical-libraries-data-structures) - [Financial Instruments & Pricing](#financial-instruments-pricing) - [Technical Indicators](#technical-indicators) - [Trading & Backtesting](#trading-backtesting) - [Portfolio Optimization & Risk Analysis](#portfolio-optimization-risk-analysis) - [Factor Analysis](#factor-analysis) - [Sentiment Analysis & Alternative Data](#sentiment-analysis-alternative-data) - [Time Series Analysis](#time-series-analysis) - [Market Data & Data Sources](#market-data--data-sources) - [Prediction Markets](#prediction-markets) - [Calendars & Market Hours](#calendars-market-hours) - [Visualization](#visualization) - [Excel & Spreadsheet Integration](#excel-spreadsheet-integration) - [Quant Research Environments](#quant-research-environments) - [Cross-Language Frameworks](#cross-language-frameworks) - [Reproducing Works, Training & Books](#reproducing-works-training-books) - [Commercial & Proprietary Services](#commercial-proprietary-services) - [Related Lists](#related-lists) ## Numerical Libraries & Data Structures - [numpy](https://www.numpy.org) - `Python` - NumPy is the fundamental package for scientific computing with Python. [GitHub](https://github.com/numpy/numpy) - [scipy](https://www.scipy.org) - `Python` - SciPy (pronounced “Sigh Pie”) is a Python-based ecosystem of open-source software for mathematics, science, and engineering. [GitHub](https://github.com/scipy/scipy) - [pandas](https://pandas.pydata.org) - `Python` - pandas is an open source, BSD-licensed library providing high-performance, easy-to-use data structures and data analysis tools for the Python programming language. [GitHub](https://github.com/pandas-dev/pandas) - [polars](https://docs.pola.rs/) - `Python` - Polars is a blazingly fast DataFrame library for manipulating structured data. [GitHub](https://github.com/pola-rs/polars) - [quantdsl](https://github.com/johnbywater/quantdsl) - `Python` - Domain specific language for quantitative analytics in finance and trading. - [statistics](https://docs.python.org/3/library/statistics.html) - `Python` - Builtin Python library for all basic statistical calculations. - [sympy](https://www.sympy.org/) - `Python` - SymPy is a Python library for symbolic mathematics. [GitHub](https://github.com/sympy/sympy) - [pymc3](https://docs.pymc.io/) - `Python` - Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Theano. [GitHub](https://github.com/pymc-devs/pymc) - [modelx](https://docs.modelx.io/) - `Python` - Python reimagination of spreadsheets as formula-centric objects that are interoperable with pandas. [GitHub](https://github.com/fumitoh/modelx) - [ArcticDB](https://github.com/man-group/ArcticDB) - `Python` - High performance datastore for time series and tick data. - [CRNG](https://github.com/brotto/crng) - `Python` - Contingency Random Number Generator that produces random numbers with real financial market statistical signatures (fat tails, volatility clustering, kurtosis). Matches 86% of real market metrics vs 14% for NumPy. - [xts](https://github.com/joshuaulrich/xts) - `R` - eXtensible Time Series: Provide for uniform handling of R's different time-based data classes by extending zoo, maximizing native format information preservation and allowing for user level customization and extension, while simplifying cross-class interoperability. - [data.table](https://github.com/Rdatatable/data.table) - `R` - Extension of data.frame: Fast aggregation of large data (e.g. 100GB in RAM), fast ordered joins, fast add/modify/delete of columns by group using no copies at all, list columns and a fast file reader (fread). Offers a natural and flexible syntax, for faster development. - [sparseEigen](https://github.com/dppalomar/sparseEi
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:f431ca693a5a40a5, topic:finance, topic:quantitative-finance, readme:financial
matched fp:f431ca693a5a40a5, topic:awesome, topic:awesome-list, desc:curated list