AC
codefuse-ai/Awesome-Code-LLM
[TMLR] A curated list of language modeling researches for code (and other software engineering activities), plus related datasets.
3.3k 225 +0/wk
GitHub
ai awesome datasets llm nlp papers software-engineering survey tmlr
Trend
3
Star & Fork Trend (36 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
codefuse-ai/Awesome-Code-LLM has +0 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-Code-LLM | gptel | Torch-Pruning | Acontext |
|---|---|---|---|---|
| Stars | 3.3k | 3.3k | 3.3k | 3.3k |
| Forks | 225 | 381 | 377 | 309 |
| Weekly Growth | +0 | +2 | +0 | +0 |
| Language | N/A | Emacs Lisp | Python | TypeScript |
| Sources | 1 | 1 | 1 | 1 |
| License | N/A | GPL-3.0 | MIT | Apache-2.0 |
Capability Radar vs gptel
Awesome-Code-LLM
gptel
Maintenance Activity 84
Last code push 35 days ago.
Community Engagement 34
Fork-to-star ratio: 6.8%. 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 30
No clear license detected — proceed with caution.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.