Fivetran vs Linear
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Fivetran and Linear (A purpose-built tool for planning and building products) both appear on the Smoower Developer Ecosystem Index.
Linear (rank #103) holds a modest lead over Fivetran (rank #338) on the overall Smoower ecosystem score (55 vs 43). The gap of 12 points reflects composite signals across code, docs, community and reach.
On code quality (the state of repositories, tests, releases and polish), Fivetran is ahead of Linear. On education (docs, guides and learning material for developers), Linear is ahead of Fivetran. On community (issue response, PR reviews and discussion health), Fivetran is ahead of Linear. On reach (how visible the ecosystem is beyond its own repos), Linear is clearly ahead of Fivetran. On momentum (release cadence and how fast the ecosystem moves), Fivetran is ahead of Linear.
Fivetran carries 13,433 GitHub stars across 314 public repos, with 84 repositories active in the last 90 days and 40 external contributors on record. Linear shows 1,971 stars across 22 public repos, 5 active in the last 90 days and 21 external contributors. The star gap on its own does not decide the comparison, but Fivetran's footprint is roughly 6.8x larger, which usually shows up in downstream signals like inbound issues and third party integrations.
Fivetran is the stronger read for anyone weighting momentum. Linear looks better where reach 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 | Fivetran | Linear |
|---|---|---|
| Ranking | ||
| Overall rank | #338 | #103 |
| Pillars | ||
| Overall | 43 | 55 |
| Code | 57 | 45 |
| Education | 46 | 56 |
| Community | 46 | 36 |
| Reach | 39 | 76 |
| Momentum | 54 | 41 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 13,433 | 1,971 |
| Forks | 2,907 | 436 |
| Public repos | 314 | 22 |
| Active repos (90d) | 84 | 5 |
| External contributors | 40 | 21 |
| Avg polish | 66 | 42 |
| Avg AI-readiness | 41 | 31 |