Developer ecosystem comparison
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Doist vs Factorial

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

Doist (Empowering people with simple yet powerful tools ✨) and Factorial (HR Software for small and medium companies) both appear on the Smoower Developer Ecosystem Index.

Doist (rank #122) holds a narrow lead over Factorial (rank #237) on the overall Smoower ecosystem score (54 vs 48). 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), Doist is slightly ahead of Factorial. On education (docs, guides and learning material for developers), Doist is clearly ahead of Factorial. On community (issue response, PR reviews and discussion health), Doist is slightly ahead of Factorial. On reach (how visible the ecosystem is beyond its own repos), Doist is ahead of Factorial. On momentum (release cadence and how fast the ecosystem moves), Factorial is ahead of Doist.

Doist carries 5,576 GitHub stars across 170 public repos, with 45 repositories active in the last 90 days and 21 external contributors on record. Factorial shows 117 stars across 70 public repos, 19 active in the last 90 days and 53 external contributors. The star gap on its own does not decide the comparison, but Doist's footprint is roughly 47.7x larger, which usually shows up in downstream signals like inbound issues and third party integrations.

Doist is the stronger read for anyone weighting education. Factorial 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

MetricDoistFactorial
Ranking
Overall rank#122#237
Pillars
Overall5448
Code5957
Education8563
Community3632
Reach4026
Momentum4660
Builder experience00
Signals
Stars5,576117
Forks56335
Public repos17070
Active repos (90d)4519
External contributors2153
Avg polish5847
Avg AI-readiness4743

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