OpenAI vs sgl-project

OpenAI and sgl-project both appear on the Smoower Developer Ecosystem Index.

OpenAI (rank #55) holds a modest lead over sgl-project (rank #278) on the overall Smoower ecosystem score (60 vs 46). The gap of 14 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 sgl-project. On education (docs, guides and learning material for developers), sgl-project is slightly ahead of OpenAI. On community (issue response, PR reviews and discussion health), sgl-project is slightly ahead of OpenAI. On reach (how visible the ecosystem is beyond its own repos), OpenAI is clearly ahead of sgl-project. On momentum (release cadence and how fast the ecosystem moves), OpenAI is clearly ahead of sgl-project.

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. sgl-project shows 38,333 stars across 26 public repos, 20 active in the last 90 days and 349 external contributors. The star gap on its own does not decide the comparison, but OpenAI's footprint is roughly 21.5x larger, which usually shows up in downstream signals like inbound issues and third party integrations.

OpenAI is the stronger read for anyone weighting reach. sgl-project 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.