Building enterprise search systems powered by latest NLP & open-source.
Vector Database for Enterprise-grade AI and LLM applications
deepset vs Zilliz
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
deepset (Building enterprise search systems powered by latest NLP & open-source.) and Zilliz (Vector Database for Enterprise-grade AI and LLM applications) both appear on the Smoower Developer Ecosystem Index.
deepset and Zilliz sit at essentially the same overall ecosystem score (54), which is unusual and worth reading through the pillars below.
On code quality (the state of repositories, tests, releases and polish), Zilliz is ahead of deepset. On education (docs, guides and learning material for developers), Zilliz is ahead of deepset. On community (issue response, PR reviews and discussion health), deepset is slightly ahead of Zilliz. On reach (how visible the ecosystem is beyond its own repos), deepset is ahead of Zilliz. On momentum (release cadence and how fast the ecosystem moves), Zilliz is ahead of deepset.
deepset carries 30,141 GitHub stars across 74 public repos, with 17 repositories active in the last 90 days and 171 external contributors on record. Zilliz shows 37,860 stars across 71 public repos, 29 active in the last 90 days and 105 external contributors.
deepset is the stronger read for anyone weighting reach. Zilliz looks better where momentum 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 | deepset | Zilliz |
|---|---|---|
| Ranking | ||
| Overall rank | #122 | #122 |
| Pillars | ||
| Overall | 54 | 54 |
| Code | 56 | 67 |
| Education | 74 | 83 |
| Community | 53 | 51 |
| Reach | 49 | 29 |
| Momentum | 31 | 50 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 30,141 | 37,860 |
| Forks | 4,301 | 3,995 |
| Public repos | 74 | 71 |
| Active repos (90d) | 17 | 29 |
| External contributors | 171 | 105 |
| Avg polish | 63 | 64 |
| Avg AI-readiness | 39 | 59 |