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Project comparison
Detikzify vs vLLM
Compare adoption, momentum, maintenance health, and project basics before choosing which tool to evaluate deeper.
Detikzify
Synthesizing Graphics Programs for Scientific Figures and Sketches with TikZ.
1.8K
Stars
0
Weekly
18/100
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 | Detikzify | vLLM |
|---|---|---|
| GitHub stars | 1.8K | 79.7K |
| Weekly growth | 0 | +606 |
| Health score | 18 | 93 |
| Contributors | 2 | 2.6K |
| Commits per week | 0.0 | 208.8 |
| Open issues | 14 | 4.9K |
| Language | Python | Python |
| License | Apache-2.0 | Apache-2.0 |
| Last commit | 3mo ago | 15h ago |
| Last release | v0.3.0 | v0.20.2 |
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