AL
onejune2018/Awesome-LLM-Eval
Awesome-LLM-Eval: a curated list of tools, datasets/benchmark, demos, leaderboard, papers, docs and models, mainly for Evaluation on LLMs. 一个由工具、基准/数据、演示、排行榜和大模型等组成的精选列表，主要面向基础大模型评测，旨在探求生成式AI的技术边界.
630 54 +1/wk
GitHub
awsome-list awsome-lists benchmark bert chatglm chatgpt dataset evaluation gpt3 large-language-model leaderboard llama
Trend
3
Star & Fork Trend (50 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
onejune2018/Awesome-LLM-Eval has +1 stars this period . 7-day velocity: 0.2%.
Deep analysis is being generated for this repository.
Signal-backed technical analysis will be available soon.
| Metric | Awesome-LLM-Eval | Deepdive-llama3-from-scratch | agents-from-scratch | ai_wiki |
|---|---|---|---|---|
| Stars | 630 | 630 | 630 | 632 |
| Forks | 54 | 52 | 156 | 115 |
| Weekly Growth | +1 | +0 | +1 | +0 |
| Language | N/A | Jupyter Notebook | Python | Jupyter Notebook |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | MIT | MIT | N/A |
Capability Radar vs Deepdive-llama3-from-scratch
Awesome-LLM-Eval
Deepdive-llama3-from-scratch
Maintenance Activity 26
Last code push 136 days ago.
Community Engagement 43
Fork-to-star ratio: 8.6%. Lower fork ratio may indicate passive usage.
Issue Burden 70
Issue data not yet available.
Growth Momentum 50
+1 stars this period — 0.16% growth rate.
License Clarity 95
Licensed under MIT. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.