A purpose-built tool for planning and building products
Linear vs RingCentral, Inc.
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Linear (A purpose-built tool for planning and building products) and RingCentral, Inc. both appear on the Smoower Developer Ecosystem Index.
Linear (rank #103) holds a modest lead over RingCentral, Inc. (rank #372) on the overall Smoower ecosystem score (55 vs 42). The gap of 13 points reflects composite signals across code, docs, community and reach.
On code quality (the state of repositories, tests, releases and polish), RingCentral, Inc. is ahead of Linear. On education (docs, guides and learning material for developers), Linear is slightly ahead of RingCentral, Inc. . On community (issue response, PR reviews and discussion health), RingCentral, Inc. is slightly ahead of Linear. On reach (how visible the ecosystem is beyond its own repos), Linear is clearly ahead of RingCentral, Inc. . On momentum (release cadence and how fast the ecosystem moves), Linear is slightly ahead of RingCentral, Inc. .
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. RingCentral, Inc. shows 1,659 stars across 184 public repos, 31 active in the last 90 days and 17 external contributors.
Linear is the stronger read for anyone weighting reach. RingCentral, Inc. 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 | RingCentral, Inc. |
|---|---|---|
| Ranking | ||
| Overall rank | #103 | #372 |
| Pillars | ||
| Overall | 55 | 42 |
| Code | 45 | 59 |
| Education | 56 | 52 |
| Community | 36 | 42 |
| Reach | 76 | 23 |
| Momentum | 41 | 39 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 1,971 | 1,659 |
| Forks | 436 | 23,722 |
| Public repos | 22 | 184 |
| Active repos (90d) | 5 | 31 |
| External contributors | 21 | 17 |
| Avg polish | 42 | 57 |
| Avg AI-readiness | 31 | 48 |