Documentation

• Installing Prem

  Installing Prem on macOS, Windows and Linux, and running the lab server with Docker or Node.js.

• Running a lab server

  Setting up the Prem server for a lab: people and permissions, HTTPS with Tailscale or Caddy, and backups.

• Writing to Prem from Python

  The prem-notebook package: attach figures, record results and read tables from scripts and Jupyter.

• Architecture

  For contributors: how Prem's layers fit together, where data is stored, and where new code belongs.

• Contributing

  Setting up a development copy, the checks a pull request needs, and how releases are made.