A purpose-built tool for planning and building products
Linear vs Segment
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Linear (A purpose-built tool for planning and building products) and Segment both appear on the Smoower Developer Ecosystem Index.
Linear and Segment sit at essentially the same overall ecosystem score (55), which is unusual and worth reading through the pillars below.
On code quality (the state of repositories, tests, releases and polish), Segment is ahead of Linear. On education (docs, guides and learning material for developers), Segment is ahead of Linear. On community (issue response, PR reviews and discussion health), Segment is ahead of Linear. On reach (how visible the ecosystem is beyond its own repos), Linear is clearly ahead of Segment. On momentum (release cadence and how fast the ecosystem moves), Segment 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. Segment shows 58,406 stars across 421 public repos, 53 active in the last 90 days and 12 external contributors. The star gap on its own does not decide the comparison, but Segment's footprint is roughly 29.6x larger, which usually shows up in downstream signals like inbound issues and third party integrations.
Linear is the stronger read for anyone weighting reach. Segment 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
| Metric | Linear | Segment |
|---|---|---|
| Ranking | ||
| Overall rank | #103 | #103 |
| Pillars | ||
| Overall | 55 | 55 |
| Code | 45 | 57 |
| Education | 56 | 72 |
| Community | 36 | 56 |
| Reach | 76 | 40 |
| Momentum | 41 | 48 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 1,971 | 58,406 |
| Forks | 436 | 7,570 |
| Public repos | 22 | 421 |
| Active repos (90d) | 5 | 53 |
| External contributors | 21 | 12 |
| Avg polish | 42 | 60 |
| Avg AI-readiness | 31 | 41 |