{"data":{"full_name":"GlassAlpha/glassalpha","name":"glassalpha","description":"GlassAlpha is an open-source toolkit for deterministic, regulator-ready ML audit reports. One command generates comprehensive, reproducible audits with TreeSHAP explainability, fairness metrics, calibration analysis, and robustness testing for XGBoost, LightGBM, and logistic regression models (binary classification, tabular data only).","stars":2.0,"forks":0.0,"language":"Python","license":"Apache-2.0","archived":0.0,"subcategory":"explainability-interpretability-frameworks","last_pushed_at":"2026-03-19T22:32:18+00:00","pypi_package":null,"npm_package":null,"downloads_monthly":0.0,"dependency_count":0.0,"commits_30d":null,"reverse_dep_count":0.0,"maintenance_score":13.0,"adoption_score":2.0,"maturity_score":9.0,"community_score":0.0,"quality_score":24.0,"quality_tier":"experimental","risk_flags":"['no_package', 'no_dependents']"},"meta":{"timestamp":"2026-04-06T00:08:06.964047+00:00"}}