SP
sgl-project/SpecForge
Train speculative decoding models effortlessly and port them smoothly to SGLang serving.
765 200 +3/wk
GitHub
eagle eagle3 fsdp llm pytorch sglang training
Trend
3
Star & Fork Trend (18 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
sgl-project/SpecForge has +3 stars this period . 7-day velocity: 0.7%.
Deep analysis is being generated for this repository.
Signal-backed technical analysis will be available soon.
| Metric | SpecForge | awesome-emdl | llm-books | AgentGym |
|---|---|---|---|---|
| Stars | 765 | 765 | 766 | 762 |
| Forks | 200 | 167 | 51 | 108 |
| Weekly Growth | +3 | +0 | +0 | +1 |
| Language | Python | N/A | Python | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | MIT | N/A | MIT |
Capability Radar vs awesome-emdl
SpecForge
awesome-emdl
Maintenance Activity 100
Last code push 7 days ago.
Community Engagement 100
Fork-to-star ratio: 26.1%. Active community forking and contributing.
Issue Burden 70
Issue data not yet available.
Growth Momentum 64
+3 stars this period — 0.39% 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.