Statistics GitHub Repositories (2026) · Open Source Tools

Multiple Pairwise Comparisons (Post Hoc) Tests in Python

StatsPAI is the first Agent-native Python library for causal inference and applied econometrics — unified API, broad cross-method coverage, structured result objects, machine-readable schemas, Skills, an MCP server, and R/Stata parity validation.

A library that provides objects for scientific computing in PHP.

Git activity statistics for IntelliJ Platform IDEs, with date/author filters, excluded paths, copy, and CSV export.

Cross-platform GitHub contribution streak and statistic tracking menu bar application with reminder notification

Practical volume computation and sampling in high dimensions

R inside Python

:rocket: A fast, simple and privacy-friendly way to count hits on your GitHub repositories, websites and more.

A Ruby API for using the Major League Baseball Gameday statistics data. MLB provides very deep statistics for all major league baseball games through Gameday. Statistics include not only the typical boxscore stats, but also down to the physics of every single pitch thrown in the game. You can find the speed, movement, and position of every pitch thrown. The Gameday API makes it easy for Ruby developers to work with all this statistical information. The test directory included with the source code contains many examples of how the API can be used. If you prefer to use SVN, the gameday_api is also available via an SVN repository at: http://code.google.com/p/gamedayapi/ If you like this project, be sure to also check out the Baseball-Tracker project also hosted on GitHub. Baseball-Tracker is a web application that uses the gameday_api. You can find a hosted version of Baseball Tracker at http://baseballstatz.heroku.com

Next Generation Machine Learning, Statistics and Deep Learning in PURE Rust

Ruby gem for some statistical operations without any statistical language dependency

Data-driven web maps based on D3 🗺️

superseriousstats is a fast and efficient program to create statistics out of IRC chat logs

High-performance, memory-safe, and open-source statistical analysis package in 100% pure Safe Rust

The Most Popular Privacy-Friendly Analytics Plugin

Difference-in-Differences causal inference in Python. Callaway-Sant'Anna, Synthetic DiD, Honest DiD, event studies. sklearn-like API, validated against R.