Machine learning infrastructure for developers
Baseten vs Deepgram
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Baseten (Machine learning infrastructure for developers) and Deepgram both appear on the Smoower Developer Ecosystem Index.
Deepgram (rank #63) holds a modest lead over Baseten (rank #237) on the overall Smoower ecosystem score (59 vs 48). The gap of 11 points reflects composite signals across code, docs, community and reach.
On code quality (the state of repositories, tests, releases and polish), Deepgram is clearly ahead of Baseten. On education (docs, guides and learning material for developers), Baseten is clearly ahead of Deepgram. On community (issue response, PR reviews and discussion health), Deepgram is slightly ahead of Baseten. On reach (how visible the ecosystem is beyond its own repos), Deepgram is clearly ahead of Baseten. On momentum (release cadence and how fast the ecosystem moves), Baseten is ahead of Deepgram.
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. Deepgram shows 2,538 stars across 115 public repos, 47 active in the last 90 days and 30 external contributors.
Baseten is the stronger read for anyone weighting education. Deepgram 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 | Deepgram |
|---|---|---|
| Ranking | ||
| Overall rank | #237 | #63 |
| Pillars | ||
| Overall | 48 | 59 |
| Code | 36 | 64 |
| Education | 83 | 59 |
| Community | 45 | 48 |
| Reach | 28 | 80 |
| Momentum | 61 | 46 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 1,715 | 2,538 |
| Forks | 256 | 697 |
| Public repos | 113 | 115 |
| Active repos (90d) | 44 | 47 |
| External contributors | 40 | 30 |
| Avg polish | 42 | 68 |
| Avg AI-readiness | 29 | 48 |