Welcome to MPE Sciserver documentation!

The Sciserver platform provides a web‑based environment for data‑science research. This site gives you quick access to the most‑used workflows while linking to the upstream platform documentation for the full reference.

Note

The official Sciserver platform documentation is maintained by the platform team. For detailed API specs, configuration options, and release notes, see Sciserver Platform Docs.

• Overview
  • Core Features
  • Where to find the full platform documentation
  • What you’ll find in this guide
• Getting Started
  • Invite recieved
  • Accessing the portal
  • Uploading a file
  • Launching an interactive Compute session
  • Submitting your first Compute Job
  • Next steps
• Files and Volumes
  • Two distinct concepts
  • How to work with them
  • Further reading
• Compute Images
  • Image catalogue
• Compute Containers
  • What a “Compute Container” is (in plain language)
  • Resource limits you should know
  • Parallelization
  • Why the storage limit matters
  • Quick checklist for new users
  • Working accross containers (Python Dependencies Management)
  • Where to get help
• Compute Jobs
  • Why choose a Compute Job over a Compute container?
  • What a Compute Job can run
  • Quick‑start checklist
  • Example: Running a notebook as a batch job
  • Example: Running a pure Bash script
  • Where I can help
  • Best‑practice tips
  • Further reading
• Migration Guide (2026)
  • Pre-Migration Checklist
  • What’s Changed
  • Post-Migration Steps
  • FAQ
• Support & Contact
  • Chat rooms
• News
  • March 26, 2026
  • August 4, 2025
  • April 22, 2025
  • September 30, 2024
• Frequently Asked Questions
  • File‑management & trash
  • Conda vs. Mamba
  • Blocked Anaconda channel
  • How can I see how much storage am I using right now?
  • How do I make a new conda/mamba environment appear as a kernel in JupyterLab?
  • Copying Files Between Viper and SciServer