Advanced Speech-to-Text
AssemblyAI vs kakao
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
AssemblyAI (Advanced Speech-to-Text) and kakao both appear on the Smoower Developer Ecosystem Index.
kakao (rank #257) holds a narrow lead over AssemblyAI (rank #401) on the overall Smoower ecosystem score (47 vs 41). The gap of 6 points reflects composite signals across code, docs, community and reach.
On code quality (the state of repositories, tests, releases and polish), kakao is ahead of AssemblyAI. On education (docs, guides and learning material for developers), AssemblyAI is clearly ahead of kakao. On community (issue response, PR reviews and discussion health), kakao is ahead of AssemblyAI. On reach (how visible the ecosystem is beyond its own repos), AssemblyAI is slightly ahead of kakao. On momentum (release cadence and how fast the ecosystem moves), kakao 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. kakao shows 6,073 stars across 71 public repos, 12 active in the last 90 days and 8 external contributors. The star gap on its own does not decide the comparison, but kakao's footprint is roughly 5.9x larger, which usually shows up in downstream signals like inbound issues and third party integrations.
AssemblyAI is the stronger read for anyone weighting education. kakao 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 | kakao |
|---|---|---|
| Ranking | ||
| Overall rank | #401 | #257 |
| Pillars | ||
| Overall | 41 | 47 |
| Code | 43 | 56 |
| Education | 76 | 44 |
| Community | 40 | 51 |
| Reach | 37 | 32 |
| Momentum | 16 | 52 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 1,025 | 6,073 |
| Forks | 268 | 1,153 |
| Public repos | 67 | 71 |
| Active repos (90d) | 8 | 12 |
| External contributors | 11 | 8 |
| Avg polish | 46 | 61 |
| Avg AI-readiness | 32 | 29 |