EV
modelscope/evalscope
A streamlined and customizable framework for efficient large model (LLM, VLM, AIGC) evaluation and performance benchmarking.
2.6k 301 +4/wk
GitHub
evaluation llm performance rag vlm
Trend
3
Star & Fork Trend (50 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
modelscope/evalscope has +4 stars this period . 7-day velocity: 0.5%.
Deep analysis is being generated for this repository.
Signal-backed technical analysis will be available soon.
| Metric | evalscope | graph-of-thoughts | second-brain-ai-assistant-course | OmAgent |
|---|---|---|---|---|
| Stars | 2.6k | 2.6k | 2.6k | 2.6k |
| Forks | 301 | 200 | 469 | 288 |
| Weekly Growth | +4 | +2 | +2 | -1 |
| Language | Python | Python | Jupyter Notebook | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | Apache-2.0 | NOASSERTION | MIT | Apache-2.0 |
Capability Radar vs graph-of-thoughts
evalscope
graph-of-thoughts
Maintenance Activity 100
Last code push 1 days ago.
Community Engagement 57
Fork-to-star ratio: 11.5%. Active community forking and contributing.
Issue Burden 70
Issue data not yet available.
Growth Momentum 49
+4 stars this period — 0.15% growth rate.
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.