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Project comparison
LLM Engineers Handbook vs Made With ML
Compare adoption, momentum, maintenance health, and project basics before choosing which tool to evaluate deeper.
LLM Engineers Handbook
The LLM's practical guide: From the fundamentals to deploying advanced LLM and RAG apps to AWS using LLMOps best practices
5.0K
Stars
0
Weekly
34/100
Health
Made With ML
Learn how to develop, deploy and iterate on production-grade ML applications.
47.6K
Stars
0
Weekly
36/100
Health
Quick Take
Adoption
Made With ML has the larger GitHub footprint with 47.6K stars.
Momentum
LLM Engineers Handbook is currently growing faster at 0 stars this week.
Maintenance
Made With ML has the stronger health score at 36/100.
Side-by-side Metrics
| Signal | LLM Engineers Handbook | Made With ML |
|---|---|---|
| GitHub stars | 5.0K | 47.6K |
| Weekly growth | 0 | 0 |
| Health score | 34 | 36 |
| Contributors | 10 | 1 |
| Commits per week | 0.2 | 0.1 |
| Open issues | 31 | 25 |
| Language | Python | Jupyter Notebook |
| License | MIT | MIT |
| Last commit | 20d ago | 2mo ago |
| Last release | N/A | v1.1.0 |
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