STACKQUADRANT

evidentlyai/evidently

AI DevOps

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.

7.5
GitHub Metrics
Stars
7.4k
Forks
815
Open Issues
264
Watchers
51
Contributors
94
Weekly Commits
0
Language
Jupyter Notebook
License
Apache-2.0
Last Commit
Mar 30, 2026
Created
Nov 25, 2020
Latest Release
v0.7.21
Release Date
Mar 10, 2026
Synced: Apr 16, 2026
Quality Scores
Documentation Qualityw: 20%
7.7

Has docs site (https://discord.gg/xZjKRaNp8b). Description: 176 chars. Stars signal: 7,390. Contributors: 94. Score: 7.7/10

Community Healthw: 20%
7.3

Stars: 7,390. Contributors: 94. Watchers: 51. Forks: 815. Issue ratio: 3.6%. Score: 7.3/10

Maintenance Velocityw: 15%
7.5

Last commit: 17d ago. Weekly commits: 0. Latest release: v0.7.21. Maturity bonus: 5.4y old. Score: 7.5/10

API Design & DXw: 20%
7.3

Stars/issues ratio: 28. Has documentation site. Permissive license: Apache-2.0. Popularity signal: 7,390 stars. Score: 7.3/10

Production Readinessw: 15%
7.9

Battle-tested: 7,390 stars. Peer review: 94 contributors. Versioned: v0.7.21. Licensed: Apache-2.0. Age: 5.4 years. Maintenance: last commit 17d ago. Score: 7.9/10

Ecosystem Integrationw: 10%
7.6

Fork interest: 815. Ecosystem: Jupyter Notebook. Integration-friendly: Apache-2.0. Adoption: 7,390 stars. Has web presence. Score: 7.6/10

Tags
data-driftdata-qualitydata-sciencedata-validationgenerative-aihacktoberfesthtml-reportjupyter-notebookllmllmops
Radar
Documentation Quality
Community Health
Maintenance Velocity
API Design & DX
Production Readiness
Ecosystem Integration