Repository · CC0-1.0
Vvkmnn/awesome-ai-eval
Assessing the reliability, accuracy, and safety of large language models, RAG pipelines, and AI agents.
★ 127
Stars
48 forks · 4 open issues
flat
Growth · measured
Stars counted between two of our own snapshots roughly a week apart. The repository page gives the exact span.
20.8
Momentum / 100
see the breakdown below
11mo ago
Created
last push 6d ago
Star history
How this score was built
| Component | Weight | Earned | Why |
|---|---|---|---|
| Velocity | 55 | 0.0 | flat, log-scaled against a 750/day ceiling |
| Acceleration | 15 | 0.0 | needs 7-day and 30-day rates side by side |
| Freshness | 15 | 14.7 | last push 6d ago; decays to zero at 180 days |
| Scale | 15 | 6.1 | 127 stars, log-scaled against 150k — stops a 3-star repo topping the board |
| Momentum | 100 | 20.8 | sum of the above |
Detail
| Topics | ai-evaluationai-evaluation-frameworkai-evaluation-metricsai-evaluation-toolsawesomeawesome-listawesome-listsevaluationevaluation-frameworkevaluation-metricslarge-language-modellarge-language-modelsllmmachine-learningnlp |
| Matched on | LLM & Inference (large-language-models) |
| Short window | +0 stars over 7 days = 0.0/day |
| Long window | +8 stars over 26 days = 0.3/day |
| Lifetime average | 0.36 stars/day over 352 days |
| First seen here | 2026-10-11 |
| Last read | 2d ago |