Developer ecosystem comparison
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Calendly vs Proton Mail

Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.

Calendly (Simple, beautiful scheduling.) and Proton Mail both appear on the Smoower Developer Ecosystem Index.

Proton Mail (rank #400) holds a modest lead over Calendly (rank #729) on the overall Smoower ecosystem score (41 vs 30). The gap of 11 points reflects composite signals across code, docs, community and reach.

On code quality (the state of repositories, tests, releases and polish), Proton Mail is clearly ahead of Calendly. On education (docs, guides and learning material for developers), Calendly is ahead of Proton Mail. On community (issue response, PR reviews and discussion health), Proton Mail is clearly ahead of Calendly. On reach (how visible the ecosystem is beyond its own repos), Calendly is slightly ahead of Proton Mail. On momentum (release cadence and how fast the ecosystem moves), Proton Mail is clearly ahead of Calendly.

Calendly carries 132 GitHub stars across 29 public repos, with 0 repositories active in the last 90 days and 0 external contributors on record. Proton Mail shows 16,297 stars across 186 public repos, 19 active in the last 90 days and 19 external contributors. The star gap on its own does not decide the comparison, but Proton Mail's footprint is roughly 123.5x larger, which usually shows up in downstream signals like inbound issues and third party integrations.

Calendly is the stronger read for anyone weighting education. Proton Mail looks better where momentum 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

MetricCalendlyProton Mail
Ranking
Overall rank#729#400
Pillars
Overall3041
Code3264
Education5342
Community1045
Reach5144
Momentum052
Builder experience00
Signals
Stars13216,297
Forks772,242
Public repos29186
Active repos (90d)019
External contributors019
Avg polish2574
Avg AI-readiness3432

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