Catalogue tag

#explainability

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

Tagged “explainability”Ranked by health index

PyPI · npm

89Excellenthealth index

Arize-ai/phoenix

AI Observability & Evaluation

Python · TypeScript · Jupyter Notebook★ 10.6KJul 17, 2026

Custom licenseJul 17, 2026 · metrics 1.13.0

PyPI · npm

80Goodhealth index

shap/shap

A game theoretic approach to explain the output of any machine learning model.

Jupyter Notebook★ 25.6KJul 18, 2026

MITJul 18, 2026 · metrics 1.13.0

PyPI

68Moderatehealth index

GiacomoSaccaggi/scomp_link

End-to-end ML toolkit automating the complete workflow — data profiling, preprocessing, feature engineering, model selection, training, validation, explainability, drift monitoring, fairness checks, and interactive HTML reporting. Includes a full CLI for zero-code ML pipelines. Python 3.10+.

Python★ 2↓ 2,313/moJul 16, 2026

MITJul 16, 2026 · metrics 1.13.0

PyPI

66Moderatehealth index

givasile/effector

Effector - a Python package for global and regional effect methods

Jupyter Notebook★ 121Jul 17, 2026

MITJul 17, 2026 · metrics 1.13.0