Advanced Speech-to-Text
AssemblyAI vs NAVER AI
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
AssemblyAI (Advanced Speech-to-Text) and NAVER AI both appear on the Smoower Developer Ecosystem Index.
AssemblyAI (rank #401) holds a modest lead over NAVER AI (rank #693) on the overall Smoower ecosystem score (41 vs 31). The gap of 10 points reflects composite signals across code, docs, community and reach.
On code quality (the state of repositories, tests, releases and polish), AssemblyAI is slightly ahead of NAVER AI. On education (docs, guides and learning material for developers), AssemblyAI is clearly ahead of NAVER AI. On community (issue response, PR reviews and discussion health), AssemblyAI is clearly ahead of NAVER AI. On reach (how visible the ecosystem is beyond its own repos), NAVER AI is slightly ahead of AssemblyAI. On momentum (release cadence and how fast the ecosystem moves), NAVER AI is slightly 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. NAVER AI shows 7,202 stars across 157 public repos, 10 active in the last 90 days and 0 external contributors. The star gap on its own does not decide the comparison, but NAVER AI's footprint is roughly 7.0x larger, which usually shows up in downstream signals like inbound issues and third party integrations.
AssemblyAI is the stronger read for anyone weighting education. NAVER AI 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 | NAVER AI |
|---|---|---|
| Ranking | ||
| Overall rank | #401 | #693 |
| Pillars | ||
| Overall | 41 | 31 |
| Code | 43 | 36 |
| Education | 76 | 37 |
| Community | 40 | 19 |
| Reach | 37 | 40 |
| Momentum | 16 | 19 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 1,025 | 7,202 |
| Forks | 268 | 571 |
| Public repos | 67 | 157 |
| Active repos (90d) | 8 | 10 |
| External contributors | 11 | 0 |
| Avg polish | 46 | 48 |
| Avg AI-readiness | 32 | 26 |