The inside sales CRM of choice for SMBs
Close vs RingCentral, Inc.
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Close (The inside sales CRM of choice for SMBs) and RingCentral, Inc. both appear on the Smoower Developer Ecosystem Index.
Close (rank #298) holds a narrow lead over RingCentral, Inc. (rank #372) on the overall Smoower ecosystem score (45 vs 42). The gap of 3 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 Close. On education (docs, guides and learning material for developers), Close is ahead of RingCentral, Inc. . On community (issue response, PR reviews and discussion health), RingCentral, Inc. is slightly ahead of Close. On reach (how visible the ecosystem is beyond its own repos), RingCentral, Inc. is clearly ahead of Close. On momentum (release cadence and how fast the ecosystem moves), Close is ahead of RingCentral, Inc. .
Close carries 3,871 GitHub stars across 190 public repos, with 25 repositories active in the last 90 days and 10 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.
Close is the stronger read for anyone weighting momentum. RingCentral, Inc. 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 | Close | RingCentral, Inc. |
|---|---|---|
| Ranking | ||
| Overall rank | #298 | #372 |
| Pillars | ||
| Overall | 45 | 42 |
| Code | 48 | 59 |
| Education | 64 | 52 |
| Community | 35 | 42 |
| Reach | 0 | 23 |
| Momentum | 56 | 39 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 3,871 | 1,659 |
| Forks | 639 | 23,722 |
| Public repos | 190 | 184 |
| Active repos (90d) | 25 | 31 |
| External contributors | 10 | 17 |
| Avg polish | 49 | 57 |
| Avg AI-readiness | 32 | 48 |