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 #55) holds a narrow lead over Sourcegraph (rank #152) on the overall Smoower ecosystem score (60 vs 52). The gap of 8 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 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), OpenAI is ahead of Sourcegraph. On momentum (release cadence and how fast the ecosystem moves), Sourcegraph is slightly ahead of OpenAI.

OpenAI carries 824,906 GitHub stars across 263 public repos, with 48 repositories active in the last 90 days and 524 external contributors on record. Sourcegraph shows 33,115 stars across 601 public repos, 68 active in the last 90 days and 17 external contributors. The star gap on its own does not decide the comparison, but OpenAI's footprint is roughly 24.9x 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 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.