Duolingo vs Frappe
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Duolingo and Frappe (We build world class open-source software products.) both appear on the Smoower Developer Ecosystem Index.
Frappe (rank #141) holds a modest lead over Duolingo (rank #338) on the overall Smoower ecosystem score (53 vs 43). 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), Frappe is clearly ahead of Duolingo. On education (docs, guides and learning material for developers), Frappe is clearly ahead of Duolingo. On community (issue response, PR reviews and discussion health), Frappe is ahead of Duolingo. On reach (how visible the ecosystem is beyond its own repos), Duolingo is clearly ahead of Frappe. On momentum (release cadence and how fast the ecosystem moves), Frappe is clearly ahead of Duolingo.
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. Frappe shows 107,553 stars across 207 public repos, 62 active in the last 90 days and 174 external contributors. The star gap on its own does not decide the comparison, but Frappe's footprint is roughly 62.5x larger, which usually shows up in downstream signals like inbound issues and third party integrations.
Duolingo is the stronger read for anyone weighting reach. Frappe 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 | Duolingo | Frappe |
|---|---|---|
| Ranking | ||
| Overall rank | #338 | #141 |
| Pillars | ||
| Overall | 43 | 53 |
| Code | 44 | 69 |
| Education | 47 | 79 |
| Community | 37 | 55 |
| Reach | 49 | 20 |
| Momentum | 38 | 77 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 1,721 | 107,553 |
| Forks | 267 | 38,137 |
| Public repos | 12 | 207 |
| Active repos (90d) | 8 | 62 |
| External contributors | 11 | 174 |
| Avg polish | 51 | 73 |
| Avg AI-readiness | 30 | 53 |