Machine learning infrastructure for developers
Baseten vs Sardine
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Baseten (Machine learning infrastructure for developers) and Sardine both appear on the Smoower Developer Ecosystem Index.
Baseten (rank #237) holds a modest lead over Sardine (rank #569) on the overall Smoower ecosystem score (48 vs 35). The gap of 13 points reflects composite signals across code, docs, community and reach.
On education (docs, guides and learning material for developers), Baseten is ahead of Sardine. On community (issue response, PR reviews and discussion health), Baseten is ahead of Sardine. On reach (how visible the ecosystem is beyond its own repos), Sardine is ahead of Baseten. On momentum (release cadence and how fast the ecosystem moves), Baseten is clearly ahead of Sardine.
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. Sardine shows 19 stars across 55 public repos, 5 active in the last 90 days and 5 external contributors. The star gap on its own does not decide the comparison, but Baseten's footprint is roughly 90.3x larger, which usually shows up in downstream signals like inbound issues and third party integrations.
Baseten is the stronger read for anyone weighting momentum. Sardine 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.
Side-by-side metrics
| Metric | Baseten | Sardine |
|---|---|---|
| Ranking | ||
| Overall rank | #237 | #569 |
| Pillars | ||
| Overall | 48 | 35 |
| Code | 36 | 36 |
| Education | 83 | 66 |
| Community | 45 | 25 |
| Reach | 28 | 44 |
| Momentum | 61 | 9 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 1,715 | 19 |
| Forks | 256 | 8 |
| Public repos | 113 | 55 |
| Active repos (90d) | 44 | 5 |
| External contributors | 40 | 5 |
| Avg polish | 42 | 34 |
| Avg AI-readiness | 29 | 31 |