Developer ecosystem comparison
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Duolingo vs Workato

Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.

Duolingo and Workato (The Enterprise Automation Platform for powerful integrations and automations) both appear on the Smoower Developer Ecosystem Index.

Duolingo (rank #338) holds a modest lead over Workato (rank #625) on the overall Smoower ecosystem score (43 vs 33). 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), Duolingo is slightly ahead of Workato. On education (docs, guides and learning material for developers), Workato is clearly ahead of Duolingo. On community (issue response, PR reviews and discussion health), Duolingo is clearly ahead of Workato. On reach (how visible the ecosystem is beyond its own repos), Workato is slightly ahead of Duolingo. On momentum (release cadence and how fast the ecosystem moves), Duolingo is clearly ahead of Workato.

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. Workato shows 112 stars across 67 public repos, 2 active in the last 90 days and 1 external contributors. The star gap on its own does not decide the comparison, but Duolingo's footprint is roughly 15.4x larger, which usually shows up in downstream signals like inbound issues and third party integrations.

Duolingo is the stronger read for anyone weighting momentum. Workato 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

MetricDuolingoWorkato
Ranking
Overall rank#338#625
Pillars
Overall4333
Code4436
Education4773
Community3713
Reach4951
Momentum384
Builder experience00
Signals
Stars1,721112
Forks267121
Public repos1267
Active repos (90d)82
External contributors111
Avg polish5129
Avg AI-readiness3033

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