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Baremetrics vs Duolingo
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Baremetrics (Subscription Analytics & Insights. One click and you get hundreds of valuable metrics & business insights from Stripe, Recurly, Braintree and more!) and Duolingo both appear on the Smoower Developer Ecosystem Index.
Duolingo (rank #338) holds a narrow lead over Baremetrics (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), Duolingo is slightly ahead of Baremetrics. On education (docs, guides and learning material for developers), Baremetrics is clearly ahead of Duolingo. On community (issue response, PR reviews and discussion health), Duolingo is clearly ahead of Baremetrics. On reach (how visible the ecosystem is beyond its own repos), Duolingo is ahead of Baremetrics. On momentum (release cadence and how fast the ecosystem moves), Duolingo is clearly ahead of Baremetrics.
Baremetrics carries 908 GitHub stars across 15 public repos, with 0 repositories active in the last 90 days and 0 external contributors on record. Duolingo shows 1,721 stars across 12 public repos, 8 active in the last 90 days and 11 external contributors.
Baremetrics is the stronger read for anyone weighting education. Duolingo 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 | Baremetrics | Duolingo |
|---|---|---|
| Ranking | ||
| Overall rank | #510 | #338 |
| Pillars | ||
| Overall | 37 | 43 |
| Code | 37 | 44 |
| Education | 76 | 47 |
| Community | 13 | 37 |
| Reach | 34 | 49 |
| Momentum | 12 | 38 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 908 | 1,721 |
| Forks | 115 | 267 |
| Public repos | 15 | 12 |
| Active repos (90d) | 0 | 8 |
| External contributors | 0 | 11 |
| Avg polish | 35 | 51 |
| Avg AI-readiness | 27 | 30 |