MI
psmarter/mini-infer
LLM inference engine from scratch — paged KV cache, continuous batching, chunked prefill, prefix caching, speculative decoding, CUDA graph, tensor parallelism, MoE expert parallelism, OpenAI-compatible serving
160 8 +4/wk
GitHub
continuous-batching cuda inference inference-engine kv-cache language-model llm machine-learning moe pagedattention pytorch quantization
Trend
3
Star & Fork Trend (20 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
psmarter/mini-infer has +4 stars this period . 7-day velocity: 2.6%.
Deep analysis is being generated for this repository.
Signal-backed technical analysis will be available soon.
| Metric | mini-infer | FinSight | elastic_transformers | EvolutionaryForest |
|---|---|---|---|---|
| Stars | 160 | 160 | 161 | 159 |
| Forks | 8 | 41 | 24 | 34 |
| Weekly Growth | +4 | +1 | +0 | +0 |
| Language | Python | Jupyter Notebook | Jupyter Notebook | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | GPL-3.0 | Apache-2.0 | LGPL-3.0 |
Capability Radar vs FinSight
mini-infer
FinSight
Maintenance Activity 97
Last code push 12 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
+4 stars this period — 2.50% growth rate.
License Clarity 95
Licensed under MIT. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.