Duolingo vs Kanboard
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Duolingo and Kanboard (Kanban project management software) both appear on the Smoower Developer Ecosystem Index.
Duolingo (rank #338) holds a modest lead over Kanboard (rank #625) on the overall Smoower ecosystem score (43 vs 33). 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), Kanboard is slightly ahead of Duolingo. On education (docs, guides and learning material for developers), Kanboard is ahead of Duolingo. On community (issue response, PR reviews and discussion health), Kanboard is clearly ahead of Duolingo. On reach (how visible the ecosystem is beyond its own repos), Duolingo is clearly ahead of Kanboard. On momentum (release cadence and how fast the ecosystem moves), Duolingo is ahead of Kanboard.
Duolingo carries 1,721 GitHub stars across 12 public repos, with 8 repositories active in the last 90 days and 11 external contributors on record. Kanboard shows 10,486 stars across 52 public repos, 4 active in the last 90 days and 13 external contributors. The star gap on its own does not decide the comparison, but Kanboard's footprint is roughly 6.1x larger, which usually shows up in downstream signals like inbound issues and third party integrations.
Duolingo is the stronger read for anyone weighting reach. Kanboard looks better where community 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 | Duolingo | Kanboard |
|---|---|---|
| Ranking | ||
| Overall rank | #338 | #625 |
| Pillars | ||
| Overall | 43 | 33 |
| Code | 44 | 52 |
| Education | 47 | 57 |
| Community | 37 | 64 |
| Reach | 49 | 8 |
| Momentum | 38 | 21 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 1,721 | 10,486 |
| Forks | 267 | 2,719 |
| Public repos | 12 | 52 |
| Active repos (90d) | 8 | 4 |
| External contributors | 11 | 13 |
| Avg polish | 51 | 59 |
| Avg AI-readiness | 30 | 23 |