OpenAI vs Sourcegraph

OpenAI and Sourcegraph (Helping developers search, understand, and write code in complex codebases with AI) both appear on the Smoower Developer Ecosystem Index.

OpenAI (rank #30) holds a modest lead over Sourcegraph (rank #126) on the overall Smoower ecosystem score (65 vs 56). The gap of 9 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 Sourcegraph. On education (docs, guides and learning material for developers), OpenAI is slightly ahead of Sourcegraph. On community (issue response, PR reviews and discussion health), OpenAI is clearly ahead of Sourcegraph. On reach (how visible the ecosystem is beyond its own repos), Sourcegraph is ahead of OpenAI. On momentum (release cadence and how fast the ecosystem moves), Sourcegraph is slightly ahead of OpenAI.

OpenAI carries 854,110 GitHub stars across 268 public repos, with 47 repositories active in the last 90 days and 427 external contributors on record. Sourcegraph shows 44,440 stars across 601 public repos, 68 active in the last 90 days and 10 external contributors. The star gap on its own does not decide the comparison, but OpenAI's footprint is roughly 19.2x larger, which usually shows up in downstream signals like inbound issues and third party integrations.

OpenAI is the stronger read for anyone weighting community. Sourcegraph 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.