jupyter_conda

Provides Conda environment and package access extension from within Jupyter Notebook and JupyterLab.

This is a fork of the Anaconda nb_conda package. The decision to fork it came due to apparently dead status of the previous package and a need to integrate it within JupyterLab.

Install

Requirements

• conda >= 4.5
• notebook >= 4.3
• JupyterLab 0.35 (for the jupyterlab extension only)

To install in the classical notebook:

conda install -c conda-forge jupyter_conda

To install in the JupyterLab:

conda install -c conda-forge jupyter_conda
jupyter labextension install jupyterlab_toastify jupyterlab_conda

Classical Jupyter Notebook

Conda tab in the Jupyter file browser

This extensions adds a Conda tab to the Jupyter file browser. Selecting the Conda tab will display:

• A list of the Conda environments that current exist
• The list of Conda packages available in currently configured channels (http://conda.pydata.org/docs/config.html#channel-locations-channels)
• The list of packages installed in the selected environment.

You can click on the name of an environment to select it. That will allow you to:

• see the packages installed in the environment
• install new packages from the available package list
• check for updates on selected (or all) packages
• update selected (or all) packages in the environment.

Conda in the Notebook view

This extension adds a Conda Packages item to the Kernel menu. Selecting this item displays the list of Conda packages in the environment associated with the running kernel, and the list of available packages. You can perform the same actions as in the Conda tab, but only against the current environment.

JupyterLab

This extension add a new entry Conda Packages Manager in the Settings menu.

Creating New Environments

There are two ways to create an environment:

• Create a new environment Use the New Environment button at the top of the page, and select Python 2, Python 3, or R to create a base environment with the corresponding packages. Note that if you want to run a Jupyter python kernel in the new environment, you must also install the ipykernel package in the environment.

• Clone an existing environment Click the clone button next to an environment in the list, and enter the desired name of the new environment.

Development

conda create -y -n jupyter_conda python jupyterlab
conda install -y -n jupyter_conda --file requirements.txt -c conda-forge
source activate jupyter_conda
python setup.py develop
jupyter nbextension install jupyter_conda --py --sys-prefix --symlink
jupyter nbextension enable jupyter_conda --py --sys-prefix
jupyter serverextension enable jupyter_conda --py --sys-prefix

cd labextension
jupyter labextension install .

Changelog

2.5.1

• Catch SSLError when requesting channeldata.json file

2.5.0

• Export in YAML format the environment (import in the older format is still supported).
• Improve responsiveness by loading first installed packages. Then request available one.
• BUG error is prompt when an environment is deleted although everything went well
• Cache some API requests (GET environments, GET channels and GET available packages).
• Available packages are now truncated to 100.
  • Use query argument $skip to skip N first packages
  • If the list is longer than 100, a entry $next in the response is returned. This
    is the request url to use to get the next batch of packages.
• Report full error message in web browser console to ease debugging.

2.4.2

• BUG environment not shown
• BUG Installing package in develop mode fails if in user home or containing spaces
• Improve error feedback from API to frontend

2.4.1

• BUG conda search crashes for conda 4.6

2.4.0

• Add installation of package in development mode (through pip)

2.3.x

• Add JupyterLab extension inspired by Anaconda Navigator
  • Retrieve conda package description
  • Add link to package website (if available)
• Support conda >=4.5
• Make all conda request asynchronously
• Use the automatic installation for Jupyter Notebook extension (see here)

2.2.1

• fix bug in check updates feature

2.2.0

• support conda 4.3
• support notebook security fix introduced in notebook 4.3.1

2.1.0

• fix environment export button
• allow environment names with one letter and validate against "suspicious" characters

2.0.0

• update to new jupyter_conda_kernels naming scheme
• namespace all API calls into /conda/

1.1.0

• fix usage in root environment

1.0.1

• minor build changes

1.0.0

• Update to notebook 4.2