PyPI · npm
evidentlyai/evidently
Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
Apache-2.012 ago 2026 · métricas 2.10.0
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PyPI
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+.
MIT9 sept 2026 · métricas 2.10.0
PyPI
Data-Centric-AI-Community/fg-data-profiling
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
MIT12 ago 2026 · métricas 2.10.0
npm
pnakhat/playwright-spec-doc-reporter
A beautiful Playwright reporter with BDD annotations, inline API viewer, AI-powered failure analysis, and self-healing payload exports.
MIT6 ago 2026 · métricas 2.10.0
npm
gemini-testing/html-reporter
Html reporter for Testplane (ex-hermione)
MIT12 sept 2026 · métricas 2.10.0