A plugin for JupyterLab that lets you set up and use as many filebrowsers as you like, connected to whatever local and/or remote filesystem-like resources you want.

The backend is built on top of PyFilesystem, while the frontend is built on top of JupyterLab Filetree.

pip install jupyter-fs

Add the following to your jupyter_notebook_config.json:

{
  "NotebookApp": {
    "contents_manager_class": "jupyterfs.metamanager.MetaManager",
    "nbserver_extensions": {
      "jupyterfs": true
    }
  }
}

Add specifications for additional contents managers in your user settings (in the Settings menu under Advanced Settings Editor -> jupyter-fs). Here's an example of how to set up two new views of the local filesystem:

{
  "specs": [
    {
      "name": "local_test",
      "url": "osfs:///Users/foo/test"
    },
    {
      "name": "local_jupyter-fs_repo",
      "url": "osfs:///Users/foo/git/jupyter-fs"
    }
  ]
}

where osfs stands for os filesystem. You should see your new filebrowser pop up in the left-hand sidebar instantly when you save your settings:

"url" is a PyFilesystem opener url. For more info on how to write these urls, see the documentation of the relevant PyFilesystem plugin:

• S3: S3FS docs
• smb: fs.smbfs docs

Not recommended for production use: currently requires saving your credentials in plaintext

jupyter-fs also supports a wide variety of remote filesystem-like resources. Currently, only S3 and smb/samba are confirmed to work/part of the test suite. In theory, any resource supported by PyFilesystem should be supported by jupyter-fs as well.

You can set up all of these different resources side-by-side:

{
  "specs": [
    {
      "name": "osfs_jupyter-fs_repo",
      "url": "osfs:///Users/foo/git/jupyter-fs"
    },
    {
      "name": "s3_foo",
      "url": "s3://username:passwd@foo?endpoint_url=http://127.0.0.1:9000"
    },
    {
      "name": "smb_test",
      "url": "smb://username:[email protected]/test?name-port=3669"
    }
  ]
}

If you prefer to set up your filesystem resources in the server-side config, you can do so. For example, you can set up a local filesystem by adding the following to your jupyter_notebook_config.py:

c.jupyterfs.specs = [
    {
        "name": "local_test",
        "url": "osfs:///Users/foo/test"
    },
]

Any filesystem specs given in the server-side config will be merged with the specs given in a user's settings.

See CONTRIBUTING.md for guidelines.

This software is licensed under the Apache 2.0 license. See the LICENSE and AUTHORS files for details.