Ollama vs Qdrant
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Ollama and Qdrant (Creating advanced vector search technology) both appear on the Smoower Developer Ecosystem Index.
Qdrant (rank #5) holds a modest lead over Ollama (rank #126) on the overall Smoower ecosystem score (74 vs 56). The gap of 18 points reflects composite signals across code, docs, community and reach.
On code quality (the state of repositories, tests, releases and polish), Qdrant is slightly ahead of Ollama. On education (docs, guides and learning material for developers), Qdrant is slightly ahead of Ollama. On community (issue response, PR reviews and discussion health), Qdrant is clearly ahead of Ollama. On reach (how visible the ecosystem is beyond its own repos), Qdrant is ahead of Ollama. On momentum (release cadence and how fast the ecosystem moves), Qdrant is slightly ahead of Ollama.
Ollama carries 193,131 GitHub stars across 4 public repos, with 3 repositories active in the last 90 days and 232 external contributors on record. Qdrant shows 45,822 stars across 132 public repos, 89 active in the last 90 days and 122 external contributors. The star gap on its own does not decide the comparison, but Ollama's footprint is roughly 4.2x larger, which usually shows up in downstream signals like inbound issues and third party integrations.
Ollama is worth a look for teams already invested in its stack. Qdrant 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 | Ollama | Qdrant |
|---|---|---|
| Ranking | ||
| Overall rank | #126 | #5 |
| Pillars | ||
| Overall | 56 | 74 |
| Code | 64 | 70 |
| Education | 85 | 88 |
| Community | 42 | 64 |
| Reach | 54 | 70 |
| Momentum | 64 | 66 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 193,131 | 45,822 |
| Forks | 18,983 | 4,571 |
| Public repos | 4 | 132 |
| Active repos (90d) | 3 | 89 |
| External contributors | 232 | 122 |
| Avg polish | 60 | 70 |
| Avg AI-readiness | 55 | 49 |