A purpose-built tool for planning and building products
Linear vs PayFit
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Linear (A purpose-built tool for planning and building products) and PayFit (Paying employees has never been easier) both appear on the Smoower Developer Ecosystem Index.
Linear (rank #103) holds a meaningful lead over PayFit (rank #625) on the overall Smoower ecosystem score (55 vs 33). The gap of 22 points reflects composite signals across code, docs, community and reach.
On education (docs, guides and learning material for developers), PayFit is clearly ahead of Linear. On community (issue response, PR reviews and discussion health), Linear is clearly ahead of PayFit. On reach (how visible the ecosystem is beyond its own repos), Linear is clearly ahead of PayFit. On momentum (release cadence and how fast the ecosystem moves), PayFit is slightly ahead of Linear.
Linear carries 1,971 GitHub stars across 22 public repos, with 5 repositories active in the last 90 days and 21 external contributors on record. PayFit shows 1 stars across 1 public repos, 1 active in the last 90 days and 0 external contributors. The star gap on its own does not decide the comparison, but Linear's footprint is roughly 1971.0x larger, which usually shows up in downstream signals like inbound issues and third party integrations.
Linear is the stronger read for anyone weighting reach. PayFit looks better where education 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
| Metric | Linear | PayFit |
|---|---|---|
| Ranking | ||
| Overall rank | #103 | #625 |
| Pillars | ||
| Overall | 55 | 33 |
| Code | 45 | 45 |
| Education | 56 | 80 |
| Community | 36 | 4 |
| Reach | 76 | 20 |
| Momentum | 41 | 48 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 1,971 | 1 |
| Forks | 436 | 1 |
| Public repos | 22 | 1 |
| Active repos (90d) | 5 | 1 |
| External contributors | 21 | 0 |
| Avg polish | 42 | 25 |
| Avg AI-readiness | 31 | 51 |