Skip to main content

A JupyterLab extension for running notebook jobs

Project description

jupyter_scheduler

Github Actions StatusBinder

A JupyterLab extension for running notebook jobs. Documentation is available on ReadTheDocs.

This extension is composed of a Python package named jupyter_scheduler for the server extension and a NPM package named @jupyterlab/scheduler for the frontend extension. Installation of this extension provides a REST API to run, query, stop and delete notebook jobs; the UI provides an interface to create, list and view job details.

Requirements

  • JupyterLab >= 3.0

Install

To install the extension, execute:

pip install jupyter_scheduler

Uninstall

To remove the extension, execute:

pip uninstall jupyter_scheduler

User's guide

Please refer to our user's guide for more information on installation and usage.

Contributing

Please refer to our contributor's guide for more information on installation and usage.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

jupyter_scheduler-1.5.0.tar.gz (1.5 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

jupyter_scheduler-1.5.0-py3-none-any.whl (516.5 kB view details)

Uploaded Python 3

File details

Details for the file jupyter_scheduler-1.5.0.tar.gz.

File metadata

  • Download URL: jupyter_scheduler-1.5.0.tar.gz
  • Upload date:
  • Size: 1.5 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.5

File hashes

Hashes for jupyter_scheduler-1.5.0.tar.gz
Algorithm Hash digest
SHA256 9f9d314639737cdceb2e18d4da19a3a357c28a153e1b18d1623b0c54b1261fb0
MD5 2b40ff36645e878c302446d850620ade
BLAKE2b-256 d06095ebb4e7c090c3e872bd5775fd7ae5d1a7e76a3f5c2852e804f935389c59

See more details on using hashes here.

File details

Details for the file jupyter_scheduler-1.5.0-py3-none-any.whl.

File metadata

File hashes

Hashes for jupyter_scheduler-1.5.0-py3-none-any.whl
Algorithm Hash digest
SHA256 81949bb8697c3b41f95c9132b8efa48c6c3ebc972d276a5decea5c656c6d56a8
MD5 a34ef9deeece33fd38fd09beb1dbbeee
BLAKE2b-256 19a41aa2d6ea5ba271412ddf08d12e040fff35a6a79cb4b5bc1580d0c5e068a5

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page