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Community Hass.io Add-ons: JupyterLab Lite

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Create documents containing live code, equations, visualizations, and explanatory text.

The JupyterLab Hass.io add-on

About

JupyterLab is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations and narrative text. Uses include: data cleaning and transformation, numerical simulation, statistical modeling, data visualization, machine learning, and much more.

This add-on runs JupyterLab, which is the next-generation user interface for Project Jupyter. It is an extensible environment for interactive and reproducible computing, based on the Jupyter Notebook and Architecture.

Installation

The installation of this add-on is pretty straightforward and not different in comparison to installing any other Hass.io add-on.

  1. Add our Hass.io add-ons repository to your Hass.io instance.
  2. Install the "JupyterLab Lite" add-on.
  3. Start the "JupyterLab Lite" add-on
  4. Check the logs of the "JupyterLab Lite" add-on to see if everything went well.

NOTE: Do not add this repository to Hass.io, please use: https://github.com/hassio-addons/repository.

Docker status

Supports armhf Architecture Supports aarch64 Architecture Supports amd64 Architecture Supports i386 Architecture

Docker Layers Docker Pulls

Configuration

Note: Remember to restart the add-on when the configuration is changed.

Example add-on configuration:

{
    "log_level": "info",
    "github_access_token": "abcdef1234567890abcdef0123456789abcdef01",
    "ssl": true,
    "certfile": "fullchain.pem",
    "keyfile": "privkey.pem",
    "system_packages": [
      "ffmpeg"
    ],
    "init_commands": [
      "pip install virtualenv",
      "pip install yamllint"
    ]
}

Note: This is just an example, don't copy and past it! Create your own!

Option: log_level

The log_level option controls the level of log output by the addon and can be changed to be more or less verbose, which might be useful when you are dealing with an unknown issue. Possible values are:

  • trace: Show every detail, like all called internal functions.
  • debug: Shows detailed debug information.
  • info: Normal (usually) interesting events.
  • warning: Exceptional occurrences that are not errors.
  • error: Runtime errors that do not require immediate action.
  • fatal: Something went terribly wrong. Add-on becomes unusable.

Please note that each level automatically includes log messages from a more severe level, e.g., debug also shows info messages. By default, the log_level is set to info, which is the recommended setting unless you are troubleshooting.

Option: github_access_token

Sets an GitHub access token. When making unauthenticated requests to GitHub (as we must do to get repository data), GitHub imposes fairly strict rate-limits on how many requests we can make. As such, you are likely to hit that limit within a few minutes of work.

There is a chapter in this document with instruction on obtaining such a token.

Note: This option support secrets, e.g., !secret github_token.

Option: ssl

Enables/Disables SSL (HTTPS) on the JupyterLab Set it true to enable it, false otherwise.

Option: certfile

The certificate file to use for SSL.

Note: The file MUST be stored in /ssl/, which is default for Hass.io

Option: keyfile

The private key file to use for SSL.

Note: The file MUST be stored in /ssl/, which is default for Hass.io

Option: system_packages

Allows you to specify additional Alpine packages to be installed to your JupyterLab setup (e.g., g++. make, ffmpeg).

Note: Adding many packages will result in a longer start-up time for the add-on.

Option: init_commands

Customize your environment even more with the init_commands option. Add one or more shell commands to the list, and they will be executed every single time this add-on starts.

Embedding into Home Assistant

It is possible to embed JupyterLab directly into Home Assistant, allowing you to access the JupyterLab through the Home Assistant frontend.

Home Assistant provides the panel_iframe component, for these purposes.

Example configuration:

panel_iframe:
  jupyterlab:
    title: JupyterLab
    icon: mdi:flask
    url: https://addres.to.your.hass.io:7777

Getting a GitHub access token

You can get an access token by following these steps:

  1. Verify your email address with GitHub.
  2. Go to your account settings on GitHub and select "Developer Settings" from the left panel.
  3. On the left, select "Personal access tokens"
  4. Click the "Generate new token" button, and enter your password.
  5. Give the token a description, and check the "repo" scope box.
  6. Click "Generate token"
  7. You should be given a string which will be your access token.

Remember that this token is effectively a password for your GitHub account. Do not share it online or check the token into version control, as people can use it to access all of your data on GitHub.

Changelog & Releases

This repository keeps a change log using GitHub's releases functionality. The format of the log is based on Keep a Changelog.

Releases are based on Semantic Versioning, and use the format of MAJOR.MINOR.PATCH. In a nutshell, the version will be incremented based on the following:

  • MAJOR: Incompatible or major changes.
  • MINOR: Backwards-compatible new features and enhancements.
  • PATCH: Backwards-compatible bugfixes and package updates.

Support

Got questions?

You have several options to get them answered:

You could also open an issue here GitHub.

Contributing

This is an active open-source project. We are always open to people who want to use the code or contribute to it.

We have set up a separate document containing our contribution guidelines.

Thank you for being involved! 😍

Authors & contributors

The original setup of this repository is by Franck Nijhof.

For a full list of all authors and contributors, check the contributor's page.

We have got some Hass.io add-ons for you

Want some more functionality to your Hass.io Home Assistant instance?

We have created multiple add-ons for Hass.io. For a full list, check out our GitHub Repository.

License

MIT License

Copyright (c) 2018-2019 Franck Nijhof

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.