Helping developers search, understand, and write code in complex codebases with AI
Weaviate creates database software like the Weaviate vector search engine
Sourcegraph vs Weaviate
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Sourcegraph (Helping developers search, understand, and write code in complex codebases with AI) and Weaviate (Weaviate creates database software like the Weaviate vector search engine) both appear on the Smoower Developer Ecosystem Index.
Sourcegraph and Weaviate sit at essentially the same overall ecosystem score (52), which is unusual and worth reading through the pillars below.
On code quality (the state of repositories, tests, releases and polish), Sourcegraph is slightly ahead of Weaviate. On education (docs, guides and learning material for developers), Weaviate is ahead of Sourcegraph. On reach (how visible the ecosystem is beyond its own repos), Sourcegraph is slightly ahead of Weaviate. On momentum (release cadence and how fast the ecosystem moves), Sourcegraph is ahead of Weaviate.
Sourcegraph carries 33,115 GitHub stars across 601 public repos, with 68 repositories active in the last 90 days and 17 external contributors on record. Weaviate shows 30,251 stars across 140 public repos, 32 active in the last 90 days and 51 external contributors.
Sourcegraph is the stronger read for anyone weighting momentum. Weaviate looks better where education 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 | Sourcegraph | Weaviate |
|---|---|---|
| Ranking | ||
| Overall rank | #152 | #152 |
| Pillars | ||
| Overall | 52 | 52 |
| Code | 56 | 52 |
| Education | 69 | 84 |
| Community | 48 | 48 |
| Reach | 42 | 41 |
| Momentum | 79 | 68 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 33,115 | 30,251 |
| Forks | 4,312 | 3,646 |
| Public repos | 601 | 140 |
| Active repos (90d) | 68 | 32 |
| External contributors | 17 | 51 |
| Avg polish | 59 | 58 |
| Avg AI-readiness | 33 | 34 |