OpenAI vs Weaviate

OpenAI and Weaviate (Weaviate creates database software like the Weaviate vector search engine) both appear on the Smoower Developer Ecosystem Index.

OpenAI (rank #22) holds a modest lead over Weaviate (rank #135) on the overall Smoower ecosystem score (66 vs 55). The gap of 11 points reflects composite signals across code, docs, community and reach.

On code quality (the state of repositories, tests, releases and polish), OpenAI is slightly ahead of Weaviate. On education (docs, guides and learning material for developers), Weaviate is ahead of OpenAI. On community (issue response, PR reviews and discussion health), OpenAI is clearly ahead of Weaviate. On reach (how visible the ecosystem is beyond its own repos), Weaviate is slightly ahead of OpenAI. On momentum (release cadence and how fast the ecosystem moves), OpenAI is slightly ahead of Weaviate.

OpenAI carries 846,432 GitHub stars across 268 public repos, with 49 repositories active in the last 90 days and 426 external contributors on record. Weaviate shows 30,451 stars across 142 public repos, 32 active in the last 90 days and 46 external contributors. The star gap on its own does not decide the comparison, but OpenAI's footprint is roughly 27.8x larger, which usually shows up in downstream signals like inbound issues and third party integrations.

OpenAI is the stronger read for anyone weighting community. 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.