LK
linkedin/Liger-Kernel
Efficient Triton Kernels for LLM Training
6.3k 510 +1/wk
GitHub
finetuning gemma2 hacktoberfest llama llama3 llm-training llms mistral phi3 triton triton-kernels
Trend
3
Star & Fork Trend (23 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
linkedin/Liger-Kernel has +1 stars this period . 7-day velocity: 0.1%.
Deep analysis is being generated for this repository.
Signal-backed technical analysis will be available soon.
| Metric | Liger-Kernel | TagUI | tensorflow_cookbook | data-juicer |
|---|---|---|---|---|
| Stars | 6.3k | 6.3k | 6.2k | 6.2k |
| Forks | 510 | 642 | 2.4k | 356 |
| Weekly Growth | +1 | +2 | +0 | +2 |
| Language | Python | JavaScript | Jupyter Notebook | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | BSD-2-Clause | Apache-2.0 | MIT | Apache-2.0 |
Capability Radar vs TagUI
Liger-Kernel
TagUI
Maintenance Activity 100
Last code push 0 days ago.
Community Engagement 41
Fork-to-star ratio: 8.1%. Lower fork ratio may indicate passive usage.
Issue Burden 70
Issue data not yet available.
Growth Momentum 41
+1 stars this period — 0.02% growth rate.
License Clarity 95
Licensed under BSD-2-Clause. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.