PyPI
pgmpy/pgmpy
Python Toolkit for Causal and Probabilistic Reasoning
MIT17. Sept. 2026 · Metriken 2.10.0
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PyPI
brycewang-stanford/StatsPAI
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.
MIT1. Okt. 2026 · Metriken 2.10.0
PyPI · crates.io
iridae-dev/antecedent
Antecedent is a typed causal-analysis compiler whose output is a qualified scientific claim. It keeps identification, structural uncertainty, empirical support, statistical uncertainty, assumptions, implementation evidence and provenance separate and machine-checkable all the way through execution and serialization.
Apache-2.011. Okt. 2026 · Metriken 2.10.0
Go
jousudo/causa
Causal inference and causal discovery for Go: Granger causality, PC-stable and DirectLiNGAM structure learning in pure standard library - zero dependencies, CGO-free, deterministic.
Apache-2.013. Sept. 2026 · Metriken 2.10.0