Weaviate creates database software like the Weaviate vector search engine
Pocus vs Weaviate
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Pocus 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 meaningful lead over Pocus (rank #1006) on the overall Smoower ecosystem score (52 vs 18). The gap of 34 points reflects composite signals across code, docs, community and reach.
On code quality (the state of repositories, tests, releases and polish), Weaviate is clearly ahead of Pocus. On education (docs, guides and learning material for developers), Weaviate is clearly ahead of Pocus. On community (issue response, PR reviews and discussion health), Weaviate is clearly ahead of Pocus. On reach (how visible the ecosystem is beyond its own repos), Weaviate is clearly ahead of Pocus. On momentum (release cadence and how fast the ecosystem moves), Weaviate is clearly ahead of Pocus.
Pocus carries 0 GitHub stars across 0 public repos, with 0 repositories active in the last 90 days and 0 external contributors on record. Weaviate shows 30,251 stars across 140 public repos, 32 active in the last 90 days and 51 external contributors.
Pocus is worth a look for teams already invested in its stack. Weaviate 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 | Pocus | Weaviate |
|---|---|---|
| Ranking | ||
| Overall rank | #1006 | #152 |
| Pillars | ||
| Overall | 18 | 52 |
| Code | 0 | 52 |
| Education | 60 | 84 |
| Community | 0 | 48 |
| Reach | 18 | 41 |
| Momentum | 0 | 68 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 0 | 30,251 |
| Forks | 0 | 3,646 |
| Public repos | 0 | 140 |
| Active repos (90d) | 0 | 32 |
| External contributors | 0 | 51 |
| Avg polish | 0 | 58 |
| Avg AI-readiness | 0 | 34 |