Weaviate creates database software like the Weaviate vector search engine
sgl-project vs Weaviate
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
sgl-project and Weaviate (Weaviate creates database software like the Weaviate vector search engine) both appear on the Smoower Developer Ecosystem Index.
Weaviate (rank #152) holds a narrow lead over sgl-project (rank #278) on the overall Smoower ecosystem score (52 vs 46). The gap of 6 points reflects composite signals across code, docs, community and reach.
On code quality (the state of repositories, tests, releases and polish), sgl-project is slightly ahead of Weaviate. On education (docs, guides and learning material for developers), Weaviate is ahead of sgl-project. On community (issue response, PR reviews and discussion health), sgl-project is clearly ahead of Weaviate. On reach (how visible the ecosystem is beyond its own repos), Weaviate is clearly ahead of sgl-project. On momentum (release cadence and how fast the ecosystem moves), Weaviate is clearly ahead of sgl-project.
sgl-project carries 38,333 GitHub stars across 26 public repos, with 20 repositories active in the last 90 days and 349 external contributors on record. Weaviate shows 30,251 stars across 140 public repos, 32 active in the last 90 days and 51 external contributors.
sgl-project is the stronger read for anyone weighting community. Weaviate looks better where reach 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 | sgl-project | Weaviate |
|---|---|---|
| Ranking | ||
| Overall rank | #278 | #152 |
| Pillars | ||
| Overall | 46 | 52 |
| Code | 55 | 52 |
| Education | 74 | 84 |
| Community | 80 | 48 |
| Reach | 8 | 41 |
| Momentum | 40 | 68 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 38,333 | 30,251 |
| Forks | 8,904 | 3,646 |
| Public repos | 26 | 140 |
| Active repos (90d) | 20 | 32 |
| External contributors | 349 | 51 |
| Avg polish | 55 | 58 |
| Avg AI-readiness | 47 | 34 |