KR
brontoguana/krasis
Krasis is a Hybrid LLM runtime which focuses on efficient running of larger models on consumer grade VRAM limited hardware
418 21 +6/wk
GitHub
cpu-inference gguf-model-support gpu-inference high-performance-inference hybrid-inference inference-engine inference-optimization large-language-models llama-cpp-alternative llm-inference mixture-of-experts transformer
Trend
3
Star & Fork Trend (17 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
brontoguana/krasis has +6 stars this period . 7-day velocity: 3.0%.
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| Metric | krasis | tgo | EdgeChains | worker-vllm |
|---|---|---|---|---|
| Stars | 418 | 418 | 417 | 417 |
| Forks | 21 | 83 | 93 | 316 |
| Weekly Growth | +6 | +0 | -1 | +0 |
| Language | C++ | Python | JavaScript | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | NOASSERTION | NOASSERTION | AGPL-3.0 | MIT |
Capability Radar vs tgo
krasis
tgo
Maintenance Activity 100
Last code push 0 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 100
+6 stars this period — 1.44% 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.