Deepgram vs Replicate
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Deepgram and Replicate (Run AI with an API) both appear on the Smoower Developer Ecosystem Index.
Deepgram (rank #63) holds a modest lead over Replicate (rank #189) on the overall Smoower ecosystem score (59 vs 50). The gap of 9 points reflects composite signals across code, docs, community and reach.
On code quality (the state of repositories, tests, releases and polish), Deepgram is ahead of Replicate. On education (docs, guides and learning material for developers), Replicate is ahead of Deepgram. On reach (how visible the ecosystem is beyond its own repos), Deepgram is slightly ahead of Replicate. On momentum (release cadence and how fast the ecosystem moves), Deepgram is ahead of Replicate.
Deepgram carries 2,538 GitHub stars across 115 public repos, with 47 repositories active in the last 90 days and 30 external contributors on record. Replicate shows 25,062 stars across 169 public repos, 10 active in the last 90 days and 12 external contributors. The star gap on its own does not decide the comparison, but Replicate's footprint is roughly 9.9x larger, which usually shows up in downstream signals like inbound issues and third party integrations.
Deepgram is the stronger read for anyone weighting momentum. Replicate 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.
Side-by-side metrics
| Metric | Deepgram | Replicate |
|---|---|---|
| Ranking | ||
| Overall rank | #63 | #189 |
| Pillars | ||
| Overall | 59 | 50 |
| Code | 64 | 55 |
| Education | 59 | 72 |
| Community | 48 | 48 |
| Reach | 80 | 74 |
| Momentum | 46 | 31 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 2,538 | 25,062 |
| Forks | 697 | 4,596 |
| Public repos | 115 | 169 |
| Active repos (90d) | 47 | 10 |
| External contributors | 30 | 12 |
| Avg polish | 68 | 60 |
| Avg AI-readiness | 48 | 33 |