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 #63) on the overall Smoower ecosystem score (71 vs 59). The gap of 12 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 slightly ahead of LlamaIndex. On momentum (release cadence and how fast the ecosystem moves), Qdrant is slightly ahead of LlamaIndex.
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. LlamaIndex shows 99,809 stars across 135 public repos, 48 active in the last 90 days and 241 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 | #63 |
| Pillars | ||
| Overall | 71 | 59 |
| Code | 70 | 63 |
| Education | 86 | 69 |
| Community | 59 | 54 |
| Reach | 50 | 50 |
| Momentum | 66 | 62 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 44,913 | 99,809 |
| Forks | 4,409 | 14,240 |
| Public repos | 132 | 135 |
| Active repos (90d) | 89 | 48 |
| External contributors | 99 | 241 |
| Avg polish | 70 | 64 |
| Avg AI-readiness | 49 | 49 |