Developer ecosystem comparison
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Gusto vs The Washington Post

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

Gusto and The Washington Post both appear on the Smoower Developer Ecosystem Index.

Gusto (rank #338) holds a narrow lead over The Washington Post (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), Gusto is ahead of The Washington Post. On education (docs, guides and learning material for developers), Gusto is ahead of The Washington Post. On community (issue response, PR reviews and discussion health), Gusto is ahead of The Washington Post. On reach (how visible the ecosystem is beyond its own repos), The Washington Post is clearly ahead of Gusto. On momentum (release cadence and how fast the ecosystem moves), Gusto is ahead of The Washington Post.

Gusto carries 781 GitHub stars across 148 public repos, with 20 repositories active in the last 90 days and 6 external contributors on record. The Washington Post shows 2,751 stars across 91 public repos, 3 active in the last 90 days and 0 external contributors. The star gap on its own does not decide the comparison, but The Washington Post's footprint is roughly 3.5x larger, which usually shows up in downstream signals like inbound issues and third party integrations.

Gusto is the stronger read for anyone weighting education. The Washington Post looks better where reach 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

MetricGustoThe Washington Post
Ranking
Overall rank#338#510
Pillars
Overall4337
Code6050
Education6649
Community3518
Reach1950
Momentum3318
Builder experience00
Signals
Stars7812,751
Forks2171,061
Public repos14891
Active repos (90d)203
External contributors60
Avg polish5355
Avg AI-readiness4830

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