Tensor search for humans.
Marqo vs Qdrant
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Marqo (Tensor search for humans.) and Qdrant (Creating advanced vector search technology) both appear on the Smoower Developer Ecosystem Index.
Qdrant (rank #5) holds a meaningful lead over Marqo (rank #430) on the overall Smoower ecosystem score (71 vs 40). The gap of 31 points reflects composite signals across code, docs, community and reach.
On code quality (the state of repositories, tests, releases and polish), Qdrant is clearly ahead of Marqo. On education (docs, guides and learning material for developers), Qdrant is clearly ahead of Marqo. On community (issue response, PR reviews and discussion health), Qdrant is ahead of Marqo. On reach (how visible the ecosystem is beyond its own repos), Qdrant is ahead of Marqo. On momentum (release cadence and how fast the ecosystem moves), Qdrant is clearly ahead of Marqo.
Marqo carries 5,394 GitHub stars across 28 public repos, with 14 repositories active in the last 90 days and 4 external contributors on record. Qdrant shows 44,949 stars across 132 public repos, 89 active in the last 90 days and 100 external contributors. The star gap on its own does not decide the comparison, but Qdrant's footprint is roughly 8.3x larger, which usually shows up in downstream signals like inbound issues and third party integrations.
Marqo is worth a look for teams already invested in its stack. Qdrant looks better where code quality 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 | Marqo | Qdrant |
|---|---|---|
| Ranking | ||
| Overall rank | #430 | #5 |
| Pillars | ||
| Overall | 40 | 71 |
| Code | 41 | 70 |
| Education | 61 | 86 |
| Community | 39 | 59 |
| Reach | 36 | 50 |
| Momentum | 40 | 66 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 5,394 | 44,949 |
| Forks | 273 | 4,410 |
| Public repos | 28 | 132 |
| Active repos (90d) | 14 | 89 |
| External contributors | 4 | 100 |
| Avg polish | 45 | 70 |
| Avg AI-readiness | 35 | 49 |