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Project comparison
Hands On Large Language Models vs vLLM
Compare adoption, momentum, maintenance health, and project basics before choosing which tool to evaluate deeper.
Hands On Large Language Models
Official code repo for the O'Reilly Book - "Hands-On Large Language Models"
26.2K
Stars
0
Weekly
32/100
Health
vLLM
A high-throughput and memory-efficient inference and serving engine for LLMs
79.7K
Stars
+606
Weekly
93/100
Health
Quick Take
Adoption
vLLM has the larger GitHub footprint with 79.7K stars.
Momentum
vLLM is currently growing faster at +606 stars this week.
Maintenance
vLLM has the stronger health score at 93/100.
Side-by-side Metrics
| Signal | Hands On Large Language Models | vLLM |
|---|---|---|
| GitHub stars | 26.2K | 79.7K |
| Weekly growth | 0 | +606 |
| Health score | 32 | 93 |
| Contributors | 12 | 2.6K |
| Commits per week | 0.1 | 208.8 |
| Open issues | 35 | 4.9K |
| Language | Jupyter Notebook | Python |
| License | Apache-2.0 | Apache-2.0 |
| Last commit | 18d ago | 14h ago |
| Last release | N/A | v0.20.2 |
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