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Project comparison
Hands On Large Language Models vs Ollama
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
Ollama
Get up and running with Kimi-K2.5, GLM-5, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models.
171.2K
Stars
+450
Weekly
95/100
Health
Quick Take
Adoption
Ollama has the larger GitHub footprint with 171.2K stars.
Momentum
Ollama is currently growing faster at +450 stars this week.
Maintenance
Ollama has the stronger health score at 95/100.
Side-by-side Metrics
| Signal | Hands On Large Language Models | Ollama |
|---|---|---|
| GitHub stars | 26.2K | 171.2K |
| Weekly growth | 0 | +450 |
| Health score | 32 | 95 |
| Contributors | 12 | 600 |
| Commits per week | 0.1 | 24.5 |
| Open issues | 35 | 3.2K |
| Language | Jupyter Notebook | Go |
| License | Apache-2.0 | MIT |
| Last commit | 18d ago | 15h ago |
| Last release | N/A | v0.23.2 |
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