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Project comparison
Pgai vs vLLM
Compare adoption, momentum, maintenance health, and project basics before choosing which tool to evaluate deeper.
Pgai
A suite of tools to develop RAG, semantic search, and other AI applications more easily with PostgreSQL
5.8K
Stars
0
Weekly
34/100
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 | Pgai | vLLM |
|---|---|---|
| GitHub stars | 5.8K | 79.7K |
| Weekly growth | 0 | +606 |
| Health score | 34 | 93 |
| Contributors | 35 | 2.6K |
| Commits per week | 0.0 | 208.8 |
| Open issues | 45 | 4.9K |
| Language | PLpgSQL | Python |
| License | PostgreSQL | Apache-2.0 |
| Last commit | 2mo ago | 14h ago |
| Last release | extension-0.11.2 | v0.20.2 |
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