Advanced Speech-to-Text
AssemblyAI vs Deepgram
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
AssemblyAI (Advanced Speech-to-Text) and Deepgram both appear on the Smoower Developer Ecosystem Index.
Deepgram (rank #63) holds a modest lead over AssemblyAI (rank #401) on the overall Smoower ecosystem score (59 vs 41). The gap of 18 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 AssemblyAI. On education (docs, guides and learning material for developers), AssemblyAI is ahead of Deepgram. On community (issue response, PR reviews and discussion health), Deepgram is slightly ahead of AssemblyAI. On reach (how visible the ecosystem is beyond its own repos), Deepgram is clearly ahead of AssemblyAI. On momentum (release cadence and how fast the ecosystem moves), Deepgram is clearly ahead of AssemblyAI.
AssemblyAI carries 1,025 GitHub stars across 67 public repos, with 8 repositories active in the last 90 days and 11 external contributors on record. Deepgram shows 2,538 stars across 115 public repos, 47 active in the last 90 days and 30 external contributors.
AssemblyAI 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 | AssemblyAI | Deepgram |
|---|---|---|
| Ranking | ||
| Overall rank | #401 | #63 |
| Pillars | ||
| Overall | 41 | 59 |
| Code | 43 | 64 |
| Education | 76 | 59 |
| Community | 40 | 48 |
| Reach | 37 | 80 |
| Momentum | 16 | 46 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 1,025 | 2,538 |
| Forks | 268 | 697 |
| Public repos | 67 | 115 |
| Active repos (90d) | 8 | 47 |
| External contributors | 11 | 30 |
| Avg polish | 46 | 68 |
| Avg AI-readiness | 32 | 48 |