Advanced Speech-to-Text
AssemblyAI vs OpenAI
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
AssemblyAI (Advanced Speech-to-Text) and OpenAI both appear on the Smoower Developer Ecosystem Index.
OpenAI (rank #22) holds a meaningful lead over AssemblyAI (rank #361) on the overall Smoower ecosystem score (66 vs 44). The gap of 22 points reflects composite signals across code, docs, community and reach.
On code quality (the state of repositories, tests, releases and polish), OpenAI is ahead of AssemblyAI. On education (docs, guides and learning material for developers), AssemblyAI is slightly ahead of OpenAI. On community (issue response, PR reviews and discussion health), OpenAI is clearly ahead of AssemblyAI. On reach (how visible the ecosystem is beyond its own repos), AssemblyAI is ahead of OpenAI. On momentum (release cadence and how fast the ecosystem moves), OpenAI is clearly ahead of AssemblyAI.
AssemblyAI carries 1,031 GitHub stars across 67 public repos, with 9 repositories active in the last 90 days and 13 external contributors on record. OpenAI shows 846,432 stars across 268 public repos, 49 active in the last 90 days and 426 external contributors. The star gap on its own does not decide the comparison, but OpenAI's footprint is roughly 821.0x larger, which usually shows up in downstream signals like inbound issues and third party integrations.
AssemblyAI is the stronger read for anyone weighting reach. OpenAI looks better where momentum 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 | OpenAI |
|---|---|---|
| Ranking | ||
| Overall rank | #361 | #22 |
| Pillars | ||
| Overall | 44 | 66 |
| Code | 44 | 58 |
| Education | 72 | 70 |
| Community | 41 | 79 |
| Reach | 65 | 51 |
| Momentum | 18 | 75 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 1,031 | 846,432 |
| Forks | 269 | 134,968 |
| Public repos | 67 | 268 |
| Active repos (90d) | 9 | 49 |
| External contributors | 13 | 426 |
| Avg polish | 46 | 60 |
| Avg AI-readiness | 33 | 48 |