GitHub Codespaces with JetBrains IDEs (Public Beta)

GitHub now supports the use of GitHub Codespaces with JetBrains IDEs via the JetBrains Gateway. After downloading the JetBrains Gateway and installing the GitHub Codespaces plugin, users will be able to connect to their codespaces with the JetBrains IDE of their choice.

jb-gateway

Once connected, users can leverage the full power of JetBrains' IDEs in the cloud: fast, accurate code completion; integrated run and debug configurations; and unparalleled code navigation tools. Rather than needing to install each IDE on a developer machine, using GitHub Codespaces with JetBrains IDEs enables the use of any JetBrains IDEs in the cloud.

jetbrains-image

The beta supports connectivity to a codespace, private port forwarding, and a fully featured code editing experience in the following IDEs:

  • IntelliJ IDEA
  • PyCharm
  • WebStorm
  • GoLand
  • RubyMine
  • PHPStorm

Additional IDE support, codespace management tools (e.g. creation, deletion, changing the machine type), and better support for Development Container creation will be added as the beta progresses.

In order to connect to a codespace via the JetBrains Gateway, users will need the following:

Check out the documentation to learn more and get started.
For feedback or questions, create an issue in this repository and we will get back to you.

Using Codespaces with JupyterLab (Public Beta)

GitHub is excited to announce support for using GitHub Codespaces with JupyterLab. JupyterLab is the next-generation user interface for Project Jupyter offering all the familiar building blocks of the classic Jupyter Notebook (notebook, terminal, text editor, file browser, rich outputs, etc.) in a flexible and powerful user interface.

JupyterLab in a Codespace

Using GitHub Codespaces with JupyterLab combines the delightful notebook editing, data exploration, and narrative building experiences of JupyterLab with the power, standardization, and simplicity of a codespace.

You can open any codespace in JupyterLab via the repository page or the GitHub CLI:

open in JupyterLab examples

You can also set JupyterLab as your preferred editor, enabling single click access to codespaces via JupyterLab:

set JupyterLab as default editor

JupyterLab support is even more powerful when combined with GPU-powered codespaces. Though GPU access is not yet generally available, you can request early access here.

Click here to learn more about GitHub Codespaces support for Machine Learning and AI, or jump straight into our template repository and try it out!

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Organization APIs for Codespaces are now generally available

We recently released organization-level API support that enables administrators to programmatically manage their organization-owned codespaces at scale. Today we're announcing that these APIs are generally available.

With organization APIs providing a wide range of management operations, organizations can seamlessly integrate GitHub Codespaces into their existing workflows to automate and manage their development processes at scale.

Organization-level APIs are generally available to GitHub Team and Enterprise Cloud plans. Here is a link to our documentation to get started:

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