PyPI
pgmpy/pgmpy
Python Toolkit for Causal and Probabilistic Reasoning
MITSep 17, 2026 · metrics 2.10.0
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#causal-discovery
Every repository in the public record carrying this tag — from its GitHub topics or the keywords its package registries publish. Health is measured under the same versioned methodology as the rest of the record.
4 records
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.
MITOct 1, 2026 · metrics 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-2.0Oct 11, 2026 · metrics 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-2.0Sep 13, 2026 · metrics 2.10.0