Developer ecosystem comparison
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Frappe vs Kanboard

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

Frappe (We build world class open-source software products.) and Kanboard (Kanban project management software) both appear on the Smoower Developer Ecosystem Index.

Frappe (rank #141) holds a modest lead over Kanboard (rank #625) on the overall Smoower ecosystem score (53 vs 33). The gap of 20 points reflects composite signals across code, docs, community and reach.

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

Frappe carries 107,553 GitHub stars across 207 public repos, with 62 repositories active in the last 90 days and 174 external contributors on record. Kanboard shows 10,486 stars across 52 public repos, 4 active in the last 90 days and 13 external contributors. The star gap on its own does not decide the comparison, but Frappe's footprint is roughly 10.3x larger, which usually shows up in downstream signals like inbound issues and third party integrations.

Frappe is the stronger read for anyone weighting momentum. Kanboard looks better where community 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

MetricFrappeKanboard
Ranking
Overall rank#141#625
Pillars
Overall5333
Code6952
Education7957
Community5564
Reach208
Momentum7721
Builder experience00
Signals
Stars107,55310,486
Forks38,1372,719
Public repos20752
Active repos (90d)624
External contributors17413
Avg polish7359
Avg AI-readiness5323

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