Machine learning infrastructure for developers
Baseten vs OpenAI
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Baseten (Machine learning infrastructure for developers) and OpenAI both appear on the Smoower Developer Ecosystem Index.
OpenAI (rank #55) holds a modest lead over Baseten (rank #237) on the overall Smoower ecosystem score (60 vs 48). The gap of 12 points reflects composite signals across code, docs, community and reach.
On code quality (the state of repositories, tests, releases and polish), OpenAI is clearly ahead of Baseten. On education (docs, guides and learning material for developers), Baseten is ahead of OpenAI. On community (issue response, PR reviews and discussion health), OpenAI is clearly ahead of Baseten. On reach (how visible the ecosystem is beyond its own repos), OpenAI is clearly ahead of Baseten. On momentum (release cadence and how fast the ecosystem moves), OpenAI is ahead of Baseten.
Baseten carries 1,715 GitHub stars across 113 public repos, with 44 repositories active in the last 90 days and 40 external contributors on record. OpenAI shows 824,906 stars across 263 public repos, 48 active in the last 90 days and 524 external contributors. The star gap on its own does not decide the comparison, but OpenAI's footprint is roughly 481.0x larger, which usually shows up in downstream signals like inbound issues and third party integrations.
Baseten is the stronger read for anyone weighting education. OpenAI looks better where community 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 | Baseten | OpenAI |
|---|---|---|
| Ranking | ||
| Overall rank | #237 | #55 |
| Pillars | ||
| Overall | 48 | 60 |
| Code | 36 | 58 |
| Education | 83 | 69 |
| Community | 45 | 78 |
| Reach | 28 | 53 |
| Momentum | 61 | 74 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 1,715 | 824,906 |
| Forks | 256 | 134,688 |
| Public repos | 113 | 263 |
| Active repos (90d) | 44 | 48 |
| External contributors | 40 | 524 |
| Avg polish | 42 | 60 |
| Avg AI-readiness | 29 | 46 |