Deployment
Docker & GPU
Docker support: Yes
GPU: Not required
Check the source notes below before assuming a GPU, transcoding workload or machine-learning feature is included in the baseline deployment.
Web / Community / Collaboration
Scheduling infrastructure for absolutely everyone
Requirements
Badges are attached to each value. An estimate is never presented as an official project requirement.
| Resource | Minimum | Recommended |
|---|---|---|
| RAM | 2GB Estimated | 4GB Estimated |
| CPU | 2 Estimated | 4 Estimated |
| Disk | 20GB Estimated | Not stated Not stated |
Disk figures describe the application footprint recorded in the dataset. Personal media, documents, backups and other user data can require substantially more storage.
RunOnVPS sizing suggestion
4 GB RAM tier
This is our sizing suggestion, derived from Cal.com’s recommended RAM of 4GB. It is not an official requirement and it does not guarantee that every workload, plug-in set or media library will fit comfortably.
Affiliate link placeholder — no provider selectedThis placeholder intentionally has no URL or affiliate ID in the Day 2 build.
Deployment
Docker support: Yes
GPU: Not required
Check the source notes below before assuming a GPU, transcoding workload or machine-learning feature is included in the baseline deployment.
Commercial alternative
Calendly
Cal.com is catalogued here as a self-hosted alternative to Calendly. Feature parity varies, so compare your required workflow before migrating.
Source check
IMPORTANT: as of 2026-10-24 the former calcom/cal.com repo resolves to calcom/cal.diy — the MIT-licensed community edition of Cal.com (enterprise/team features removed, README states personal/non-production use); stars/license are for calcom/cal.diy, checked 2026-10-24. README prerequisites state only Node.js >=18 and PostgreSQL >=13 — 官方未标明 RAM/CPU/磁盘,均为基于其 docker-compose(app+PostgreSQL)默认部署的估算. Docker supported via repo Dockerfile/docker-compose; README notes support for Docker installs is the user's responsibility.
Data source: https://github.com/calcom/cal.diy
Project repository: https://github.com/calcom/cal.diy