Mito Desktop is the cross-platform desktop application for Mito. It is the quickest and easiest way to get started with Mito on your computer.
Install Mito Desktop using one of the methods listed below for your system.
| Windows (10, 11) | Mac (macOS 10.15+) | Linux |
|---|---|---|
| x64 Installer | arm64 Installer (Apple silicon) | .deb x64 Installer (Debian, Ubuntu) |
| x64 Installer (Intel chip) | .rpm x64 Installer (Red Hat, Fedora, SUSE) | |
If you need to remove a previous Mito Desktop installation, please follow the uninstall instructions.
Mito Desktop can be launched from the GUI of your operating system by clicking the application's icon or by using jlab command from the command line. Double clicking .ipynb files is also supported and it will launch Mito Desktop and load the notebook file.
Mito Desktop sets File Browser's root directory based on the launch method.
- If launched from the application icon on GUI or by using
jlabcommand without any arguments, then the default working directory is set as the root directory. The default working directory is user home directory but it can be customized from the Settings dialog. - If launched by double clicking
.ipynbfile orjlabcommand with a file path as the argument, then file's parent directory is set as the root directory. Similarly, if a file is opened using theOpen...orOpen File...links in the Start section or by using drag & drop, then file's parent directory is set as the root directory. - If
jlabcommand is used with a directory path as the argument or with the--working-dirargument then the directory in the argument is set as the root directory. Similarly, if a folder is opened using theOpen Folder...link in the Start section or by using drag & drop, then the opened directory is set as the root directory
Sessions represent local project launches and connections to existing JupyterLab servers. Each JupyterLab UI window in the app is associated with a separate session and sessions can be restored with the same configuration later on.
Each launch of JupyterLab in a different working directory is a separate project and projects can have their own configuration such as Python environment and UI layout.
- Open directories using relative or absolute path
jlab .launch in current directoryjlab ../notebookslaunch with relative pathjlab /Users/username/notebookslaunch with absolute path
- Open notebooks and other files using relative or absolute path
jlab /Users/username/notebooks/test.ipynblaunch notebook with absolute pathjlab ../notebooks/test.ipynblaunch notebook with relative pathjlab ../test.pylaunch python file with relative path
- Open with a custom Python environment
jlab --python-path /Users/username/custom_env/bin/python ../notebooks/test.ipynblaunch notebook with custom Python environment
- Connect to existing JupyterLab server
jlab https://example.org/lab?token=abcde
See CLI documentation for more CLI commands and options.
Mito Desktop currently supports user-friendly prebuilt extensions. Source extensions which require rebuilding are not supported.
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See user guide for configuration options
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Python environment management guide for managing Python environments on your system using JupyterLab Desktop
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See CLI documentation for CLI commands and options
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See troubleshooting guide for troubleshooting issues
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For contributing, see developer documentation
