Duolingo vs Pluralsight
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Duolingo and Pluralsight (Pluralsight Open Source repositories) both appear on the Smoower Developer Ecosystem Index.
Duolingo (rank #338) holds a modest lead over Pluralsight (rank #693) on the overall Smoower ecosystem score (43 vs 31). The gap of 12 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 Pluralsight. On community (issue response, PR reviews and discussion health), Duolingo is clearly ahead of Pluralsight. On reach (how visible the ecosystem is beyond its own repos), Duolingo is slightly ahead of Pluralsight. On momentum (release cadence and how fast the ecosystem moves), Duolingo is clearly ahead of Pluralsight.
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. Pluralsight shows 5,878 stars across 127 public repos, 0 active in the last 90 days and 0 external contributors. The star gap on its own does not decide the comparison, but Pluralsight's footprint is roughly 3.4x larger, which usually shows up in downstream signals like inbound issues and third party integrations.
Duolingo is the stronger read for anyone weighting momentum. Pluralsight makes more sense for teams already using its adjacent tools. 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 | Pluralsight |
|---|---|---|
| Ranking | ||
| Overall rank | #338 | #693 |
| Pillars | ||
| Overall | 43 | 31 |
| Code | 44 | 43 |
| Education | 47 | 47 |
| Community | 37 | 12 |
| Reach | 49 | 42 |
| Momentum | 38 | 0 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 1,721 | 5,878 |
| Forks | 267 | 1,591 |
| Public repos | 12 | 127 |
| Active repos (90d) | 8 | 0 |
| External contributors | 11 | 0 |
| Avg polish | 51 | 47 |
| Avg AI-readiness | 30 | 27 |