KE
ScalingIntelligence/KernelBench
KernelBench: Can LLMs Write GPU Kernels? - Benchmark + Toolkit with Torch -> CUDA (+ more DSLs)
916 150 +4/wk
GitHub
benchmark codegen evaluation gpu rl-environment tooling
Trend
3
Star & Fork Trend (19 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
ScalingIntelligence/KernelBench has +4 stars this period . 7-day velocity: 1.4%.
Deep analysis is being generated for this repository.
Signal-backed technical analysis will be available soon.
| Metric | KernelBench | semantic-kitti-api | deepfabric | RAG-FiT |
|---|---|---|---|---|
| Stars | 916 | 894 | 851 | 769 |
| Forks | 150 | 195 | 80 | 62 |
| Weekly Growth | +4 | +0 | +0 | +0 |
| Language | Jupyter Notebook | Python | Python | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | NOASSERTION | MIT | Apache-2.0 | Apache-2.0 |
Capability Radar vs semantic-kitti-api
KernelBench
semantic-kitti-api
Maintenance Activity 95
Last code push 16 days ago.
Community Engagement 82
Fork-to-star ratio: 16.4%. Active community forking and contributing.
Issue Burden 70
Issue data not yet available.
Growth Momentum 66
+4 stars this period — 0.44% growth rate.
License Clarity 30
No clear license detected — proceed with caution.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.