LI
opendilab/LightRFT
LightRFT: Light, Efficient, Omni-modal & Reward-model Driven Reinforcement Fine-Tuning Framework
268 10 +2/wk
GitHub
dapo grpo llm llm-training multi-modal reinforcement-learning reward-model rft vlm
Trend
3
Star & Fork Trend (16 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
opendilab/LightRFT has +2 stars this period . 7-day velocity: 2.3%.
Deep analysis is being generated for this repository.
Signal-backed technical analysis will be available soon.
| Metric | LightRFT | rust-docs-mcp-server | markup | unified-cache-management |
|---|---|---|---|---|
| Stars | 268 | 268 | 268 | 268 |
| Forks | 10 | 33 | 32 | 72 |
| Weekly Growth | +2 | +0 | +0 | +0 |
| Language | Python | Rust | TypeScript | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | Apache-2.0 | MIT | MIT | MIT |
Capability Radar vs rust-docs-mcp-server
LightRFT
rust-docs-mcp-server
Maintenance Activity 100
Last code push 6 days ago.
Community Engagement 66
Fork-to-star ratio: 3.7%. Lower fork ratio may indicate passive usage.
Issue Burden 70
Issue data not yet available.
Growth Momentum 85
+2 stars this period — 0.75% 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.