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Evidently

Observability & Evals 5.7/10 Solid

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.

Evidently scores 5.7/10 (Solid) in Observability & Evals.

Language Jupyter Notebook License Apache-2.0 Stars 7.7k★ Type library Self-host Yes Repo evidentlyai/evidently Homepage https://www.evidentlyai.com

Quality

Solid 5.7
Adoption 47
Activity 38
Maturity 98
Community 49
Capability 50
Show the math
Overall 5.7/10
value = 5.7/10
score = value
Adoption 5.2/10
value = 47.1/100
score = 1 + 9 * value / 100
Activity 4.4/10
value = 38.1/100
score = 1 + 9 * value / 100
Maturity 9.8/10
value = 97.8/100
score = 1 + 9 * value / 100
Community 5.4/10
value = 49.2/100
score = 1 + 9 * value / 100
Capability 5.5/10
value = 50/100
score = 1 + 9 * value / 100

Key metrics

7.7k★ GitHub stars
5/90d Recent commits
4 devs/90d Recent contributors
5.6y Project age
2mo ago Last commit

Gotchas

No gotchas documented yet. Contribute one if you know a constraint we missed.

Labels

  • Self-hosted

    Self-hosted

    You deploy and operate it yourself; there is no hosted option here.

evals monitoring testing ml llm