Duolingo vs Mirakl
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Duolingo and Mirakl (The Marketplace Company) both appear on the Smoower Developer Ecosystem Index.
Duolingo (rank #338) holds a narrow lead over Mirakl (rank #510) on the overall Smoower ecosystem score (43 vs 37). 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), Mirakl is slightly ahead of Duolingo. On education (docs, guides and learning material for developers), Mirakl is slightly ahead of Duolingo. On community (issue response, PR reviews and discussion health), Duolingo is slightly ahead of Mirakl. On reach (how visible the ecosystem is beyond its own repos), Duolingo is clearly ahead of Mirakl. On momentum (release cadence and how fast the ecosystem moves), Mirakl 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. Mirakl shows 110 stars across 22 public repos, 8 active in the last 90 days and 3 external contributors. The star gap on its own does not decide the comparison, but Duolingo's footprint is roughly 15.6x larger, which usually shows up in downstream signals like inbound issues and third party integrations.
Duolingo is the stronger read for anyone weighting reach. Mirakl 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 | Mirakl |
|---|---|---|
| Ranking | ||
| Overall rank | #338 | #510 |
| Pillars | ||
| Overall | 43 | 37 |
| Code | 44 | 46 |
| Education | 47 | 49 |
| Community | 37 | 35 |
| Reach | 49 | 22 |
| Momentum | 38 | 60 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 1,721 | 110 |
| Forks | 267 | 40 |
| Public repos | 12 | 22 |
| Active repos (90d) | 8 | 8 |
| External contributors | 11 | 3 |
| Avg polish | 51 | 42 |
| Avg AI-readiness | 30 | 33 |