LM
OptimalScale/LMFlow
An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Models for All.
8.5k 831 +0/wk
GitHub
chatgpt deep-learning instruction-following language-model pretrained-models pytorch transformer
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0
Star & Fork Trend (19 data points)
Stars
Forks
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Growth Velocity
OptimalScale/LMFlow has +0 stars this period . Velocity data will be available after more historical data is collected.
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| Metric | LMFlow | EmotiVoice | tfjs-core | PyTorch-Tutorial |
|---|---|---|---|---|
| Stars | 8.5k | 8.5k | 8.5k | 8.4k |
| Forks | 831 | 750 | 934 | 3.1k |
| Weekly Growth | +0 | +3 | -1 | +0 |
| Language | Python | Python | TypeScript | Jupyter Notebook |
| Sources | 1 | 1 | 1 | 1 |
| License | Apache-2.0 | Apache-2.0 | Apache-2.0 | MIT |
Capability Radar vs EmotiVoice
LMFlow
EmotiVoice
Maintenance Activity 94
Last code push 17 days ago.
Community Engagement 49
Fork-to-star ratio: 9.8%. Lower fork ratio may indicate passive usage.
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.