Developer ecosystem comparison
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Culture Amp vs Dropbox

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

Culture Amp (The employee feedback platform) and Dropbox both appear on the Smoower Developer Ecosystem Index.

Dropbox (rank #257) holds a modest lead over Culture Amp (rank #693) on the overall Smoower ecosystem score (47 vs 31). The gap of 16 points reflects composite signals across code, docs, community and reach.

On code quality (the state of repositories, tests, releases and polish), Culture Amp is slightly ahead of Dropbox. On education (docs, guides and learning material for developers), Dropbox is slightly ahead of Culture Amp. On community (issue response, PR reviews and discussion health), Dropbox is clearly ahead of Culture Amp. On reach (how visible the ecosystem is beyond its own repos), Dropbox is ahead of Culture Amp. On momentum (release cadence and how fast the ecosystem moves), Dropbox is clearly ahead of Culture Amp.

Culture Amp carries 1,202 GitHub stars across 179 public repos, with 17 repositories active in the last 90 days and 18 external contributors on record. Dropbox shows 61,045 stars across 247 public repos, 29 active in the last 90 days and 2 external contributors. The star gap on its own does not decide the comparison, but Dropbox's footprint is roughly 50.8x larger, which usually shows up in downstream signals like inbound issues and third party integrations.

Culture Amp is the stronger read for anyone weighting code quality. Dropbox 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

MetricCulture AmpDropbox
Ranking
Overall rank#693#257
Pillars
Overall3147
Code5348
Education4951
Community2446
Reach2037
Momentum3158
Builder experience00
Signals
Stars1,20261,045
Forks1238,223
Public repos179247
Active repos (90d)1729
External contributors182
Avg polish5152
Avg AI-readiness3833

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