Creating advanced vector search technology
Qdrant vs LlamaIndex
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Qdrant (Creating advanced vector search technology) and LlamaIndex both appear on the Smoower Developer Ecosystem Index.
Qdrant (rank #5) holds a modest lead over LlamaIndex (rank #85) on the overall Smoower ecosystem score (74 vs 59). The gap of 15 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 LlamaIndex. On education (docs, guides and learning material for developers), Qdrant is ahead of LlamaIndex. On community (issue response, PR reviews and discussion health), Qdrant is ahead of LlamaIndex. On reach (how visible the ecosystem is beyond its own repos), Qdrant is ahead of LlamaIndex. On momentum (release cadence and how fast the ecosystem moves), Qdrant is ahead of LlamaIndex.
Qdrant carries 45,822 GitHub stars across 132 public repos, with 89 repositories active in the last 90 days and 122 external contributors on record. LlamaIndex shows 101,666 stars across 149 public repos, 45 active in the last 90 days and 264 external contributors.
Qdrant is the stronger read for anyone weighting education. LlamaIndex makes more sense for teams already using its adjacent tools. 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 | LlamaIndex |
|---|---|---|
| Ranking | ||
| Overall rank | #5 | #85 |
| Pillars | ||
| Overall | 74 | 59 |
| Code | 70 | 63 |
| Education | 88 | 70 |
| Community | 64 | 53 |
| Reach | 70 | 55 |
| Momentum | 66 | 54 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 45,822 | 101,666 |
| Forks | 4,571 | 14,522 |
| Public repos | 132 | 149 |
| Active repos (90d) | 89 | 45 |
| External contributors | 122 | 264 |
| Avg polish | 70 | 64 |
| Avg AI-readiness | 49 | 49 |