Bayesian Modeling and Probabilistic Programming in Python
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Updated
Oct 2, 2026 - Python
Bayesian Modeling and Probabilistic Programming in Python
📊 The statistical analysis tool for git repositories
Inspects Python source files and provides information about type and location of classes, methods etc
Multi-class confusion matrix library in Python
BAyesian Model-Building Interface (Bambi) in Python.
Multiple Pairwise Comparisons (Post Hoc) Tests in Python
Open-source Python library for statistical analysis of randomised control trials (A/B tests)
Critical difference diagram with Wilcoxon-Holm post-hoc analysis.
A package for statistically rigorous scientific discovery using machine learning. Implements prediction-powered inference.
企业数据分析、统计分析、数据可视化与管理报告工作台|Analysis Lab、可追溯证据、FastAPI、Next.js、Windows。
Stata-MCP: A MCP server for integrating Stata into your agent loop with a safety-first design.
Open-source framework to detect outliers in Elasticsearch events
Statistical inference for AI evaluations, from model comparisons to corrections for LLM judge bias, optimized for small sample sizes. All defaults battle-tested in Monte Carlo simulations.
Blind/Referenceless Image Spatial QUality Evaluator (BRISQUE)
A library for discrete-time Markov chains analysis.
Instant stats for any fantasy football league.
Python package for calculating various information measures, including entropy, mutual information, transfer entropy, and more, with support for both discrete and continuous variables.
Kernel Density Estimation and (re)sampling
Official ID2T repository. ID2T creates labeled IT network datasets that contain user defined synthetic attacks.
PyAutoFit: Classy Probabilistic Programming
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