Developer ecosystem comparison
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Factorial vs Frappe

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

Factorial (HR Software for small and medium companies) and Frappe (We build world class open-source software products.) both appear on the Smoower Developer Ecosystem Index.

Frappe (rank #141) holds a narrow lead over Factorial (rank #237) on the overall Smoower ecosystem score (53 vs 48). The gap of 5 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 Factorial. On education (docs, guides and learning material for developers), Frappe is ahead of Factorial. On community (issue response, PR reviews and discussion health), Frappe is clearly ahead of Factorial. On reach (how visible the ecosystem is beyond its own repos), Factorial is slightly ahead of Frappe. On momentum (release cadence and how fast the ecosystem moves), Frappe is ahead of Factorial.

Factorial carries 117 GitHub stars across 70 public repos, with 19 repositories active in the last 90 days and 53 external contributors on record. Frappe shows 107,553 stars across 207 public repos, 62 active in the last 90 days and 174 external contributors. The star gap on its own does not decide the comparison, but Frappe's footprint is roughly 919.3x larger, which usually shows up in downstream signals like inbound issues and third party integrations.

Factorial is the stronger read for anyone weighting reach. Frappe 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

MetricFactorialFrappe
Ranking
Overall rank#237#141
Pillars
Overall4853
Code5769
Education6379
Community3255
Reach2620
Momentum6077
Builder experience00
Signals
Stars117107,553
Forks3538,137
Public repos70207
Active repos (90d)1962
External contributors53174
Avg polish4773
Avg AI-readiness4353

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