Catalogue tag

#causal-machine-learning

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.

2 records

Tagged “causal-machine-learning”Ranked by health index

PyPI

92Excellenthealth index

py-why/dowhy

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

Python★ 8,317↓ 161.1K/moSep 17, 2026

MITSep 17, 2026 · metrics 2.10.0

PyPI · crates.io

75Goodhealth index

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.

Rust · Python★ 3↓ 10K/moOct 11, 2026

Apache-2.0Oct 11, 2026 · metrics 2.10.0