NA
efeslab/Nanoflow
A throughput-oriented high-performance serving framework for LLMs
952 48 -1/wk
GitHub
cuda inference llama2 llm llm-serving model-serving
Trend
0
Star & Fork Trend (45 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
efeslab/Nanoflow has -1 stars this period . Velocity data will be available after more historical data is collected.
Deep analysis is being generated for this repository.
Signal-backed technical analysis will be available soon.
| Metric | Nanoflow | GenAI_LLM_timeline | autoclip_mvp | bolt |
|---|---|---|---|---|
| Stars | 952 | 953 | 947 | 957 |
| Forks | 48 | 58 | 163 | 164 |
| Weekly Growth | -1 | -2 | +0 | +0 |
| Language | Jupyter Notebook | N/A | Python | C++ |
| Sources | 1 | 1 | 1 | 1 |
| License | N/A | N/A | MIT | MIT |
Capability Radar vs GenAI_LLM_timeline
Nanoflow
GenAI_LLM_timeline
Maintenance Activity 98
Last code push 11 days ago.
Community Engagement 25
Fork-to-star ratio: 5.0%. 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.