Duolingo vs Formbricks
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Duolingo and Formbricks (Open Source Qualtrics Alternative) both appear on the Smoower Developer Ecosystem Index.
Formbricks (rank #237) holds a narrow lead over Duolingo (rank #338) on the overall Smoower ecosystem score (48 vs 43). The gap of 5 points reflects composite signals across code, docs, community and reach.
On code quality (the state of repositories, tests, releases and polish), Formbricks is ahead of Duolingo. On education (docs, guides and learning material for developers), Formbricks is ahead of Duolingo. On community (issue response, PR reviews and discussion health), Formbricks is ahead of Duolingo. On reach (how visible the ecosystem is beyond its own repos), Duolingo is ahead of Formbricks. On momentum (release cadence and how fast the ecosystem moves), Duolingo is ahead of Formbricks.
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. Formbricks shows 12,675 stars across 18 public repos, 9 active in the last 90 days and 6 external contributors. The star gap on its own does not decide the comparison, but Formbricks's footprint is roughly 7.4x larger, which usually shows up in downstream signals like inbound issues and third party integrations.
Duolingo is the stronger read for anyone weighting momentum. Formbricks looks better where education 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 | Formbricks |
|---|---|---|
| Ranking | ||
| Overall rank | #338 | #237 |
| Pillars | ||
| Overall | 43 | 48 |
| Code | 44 | 53 |
| Education | 47 | 67 |
| Community | 37 | 47 |
| Reach | 49 | 36 |
| Momentum | 38 | 24 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 1,721 | 12,675 |
| Forks | 267 | 2,459 |
| Public repos | 12 | 18 |
| Active repos (90d) | 8 | 9 |
| External contributors | 11 | 6 |
| Avg polish | 51 | 57 |
| Avg AI-readiness | 30 | 37 |