A purpose-built tool for planning and building products
Linear vs Talend
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Linear (A purpose-built tool for planning and building products) and Talend both appear on the Smoower Developer Ecosystem Index.
Linear (rank #103) holds a modest lead over Talend (rank #485) on the overall Smoower ecosystem score (55 vs 38). The gap of 17 points reflects composite signals across code, docs, community and reach.
On code quality (the state of repositories, tests, releases and polish), Talend is slightly ahead of Linear. On education (docs, guides and learning material for developers), Talend is slightly ahead of Linear. On community (issue response, PR reviews and discussion health), Linear is ahead of Talend. On reach (how visible the ecosystem is beyond its own repos), Linear is clearly ahead of Talend. On momentum (release cadence and how fast the ecosystem moves), Linear is ahead of Talend.
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. Talend shows 486 stars across 148 public repos, 13 active in the last 90 days and 9 external contributors. The star gap on its own does not decide the comparison, but Linear's footprint is roughly 4.1x larger, which usually shows up in downstream signals like inbound issues and third party integrations.
Linear is the stronger read for anyone weighting reach. Talend looks better where code quality 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 | Talend |
|---|---|---|
| Ranking | ||
| Overall rank | #103 | #485 |
| Pillars | ||
| Overall | 55 | 38 |
| Code | 45 | 51 |
| Education | 56 | 57 |
| Community | 36 | 23 |
| Reach | 76 | 35 |
| Momentum | 41 | 26 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 1,971 | 486 |
| Forks | 436 | 657 |
| Public repos | 22 | 148 |
| Active repos (90d) | 5 | 13 |
| External contributors | 21 | 9 |
| Avg polish | 42 | 53 |
| Avg AI-readiness | 31 | 34 |