AE
tatsu-lab/alpaca_eval
An automatic evaluator for instruction-following language models. Human-validated, high-quality, cheap, and fast.
2.0k 306 +0/wk
GitHub
deep-learning evaluation foundation-models instruction-following large-language-models leaderboard nlp rlhf
Trend
0
Star & Fork Trend (29 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
tatsu-lab/alpaca_eval has +0 stars this period . Velocity data will be available after more historical data is collected.
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| Metric | alpaca_eval | Awesome-World-Model | burr | ml-cvnets |
|---|---|---|---|---|
| Stars | 2.0k | 2.0k | 2.0k | 2.0k |
| Forks | 306 | 78 | 124 | 252 |
| Weekly Growth | +0 | +0 | +1 | +0 |
| Language | Jupyter Notebook | N/A | Python | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | Apache-2.0 | N/A | Apache-2.0 | NOASSERTION |
Capability Radar vs Awesome-World-Model
alpaca_eval
Awesome-World-Model
Maintenance Activity 0
Last code push 243 days ago.
Community Engagement 78
Fork-to-star ratio: 15.6%. Active community forking and contributing.
Issue Burden 70
Issue data not yet available.
Growth Momentum 30
No measurable growth in the current period (first-day cold start expected).
License Clarity 95
Licensed under Apache-2.0. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.