Simple, beautiful scheduling.
Calendly vs InVision
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Calendly (Simple, beautiful scheduling.) and InVision both appear on the Smoower Developer Ecosystem Index.
InVision (rank #432) holds a modest lead over Calendly (rank #729) on the overall Smoower ecosystem score (40 vs 30). The gap of 10 points reflects composite signals across code, docs, community and reach.
On code quality (the state of repositories, tests, releases and polish), InVision is ahead of Calendly. On education (docs, guides and learning material for developers), InVision is clearly ahead of Calendly. On community (issue response, PR reviews and discussion health), InVision is slightly ahead of Calendly. On reach (how visible the ecosystem is beyond its own repos), Calendly is ahead of InVision.
Calendly carries 132 GitHub stars across 29 public repos, with 0 repositories active in the last 90 days and 0 external contributors on record. InVision shows 1,303 stars across 114 public repos, 0 active in the last 90 days and 0 external contributors. The star gap on its own does not decide the comparison, but InVision's footprint is roughly 9.9x larger, which usually shows up in downstream signals like inbound issues and third party integrations.
Calendly is the stronger read for anyone weighting reach. InVision looks better where education 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 | Calendly | InVision |
|---|---|---|
| Ranking | ||
| Overall rank | #729 | #432 |
| Pillars | ||
| Overall | 30 | 40 |
| Code | 32 | 46 |
| Education | 53 | 80 |
| Community | 10 | 14 |
| Reach | 51 | 40 |
| Momentum | 0 | 0 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 132 | 1,303 |
| Forks | 77 | 193 |
| Public repos | 29 | 114 |
| Active repos (90d) | 0 | 0 |
| External contributors | 0 | 0 |
| Avg polish | 25 | 52 |
| Avg AI-readiness | 34 | 34 |