Creating advanced vector search technology
Qdrant vs vLLM
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Qdrant (Creating advanced vector search technology) and vLLM both appear on the Smoower Developer Ecosystem Index.
Qdrant (rank #5) holds a modest lead over vLLM (rank #47) on the overall Smoower ecosystem score (71 vs 61). The gap of 10 points reflects composite signals across code, docs, community and reach.
On code quality (the state of repositories, tests, releases and polish), vLLM is ahead of Qdrant. On education (docs, guides and learning material for developers), Qdrant is ahead of vLLM. On community (issue response, PR reviews and discussion health), vLLM is ahead of Qdrant. On reach (how visible the ecosystem is beyond its own repos), Qdrant is clearly ahead of vLLM. On momentum (release cadence and how fast the ecosystem moves), Qdrant is clearly ahead of vLLM.
Qdrant carries 44,913 GitHub stars across 132 public repos, with 89 repositories active in the last 90 days and 99 external contributors on record. vLLM shows 115,730 stars across 43 public repos, 35 active in the last 90 days and 881 external contributors.
Qdrant is the stronger read for anyone weighting reach. vLLM looks better where community is the deciding factor. The table below breaks the scores down pillar by pillar; the linked profiles cover the underlying repos, docs and community signals in full.
Side-by-side metrics
| Metric | Qdrant | vLLM |
|---|---|---|
| Ranking | ||
| Overall rank | #5 | #47 |
| Pillars | ||
| Overall | 71 | 61 |
| Code | 70 | 81 |
| Education | 86 | 71 |
| Community | 59 | 76 |
| Reach | 50 | 23 |
| Momentum | 66 | 42 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 44,913 | 115,730 |
| Forks | 4,409 | 26,361 |
| Public repos | 132 | 43 |
| Active repos (90d) | 89 | 35 |
| External contributors | 99 | 881 |
| Avg polish | 70 | 81 |
| Avg AI-readiness | 49 | 61 |