https://github.com/vericast/kernda

Add conda activation to an IPython kernel spec
https://github.com/vericast/kernda

conda ipython jupyter kernel team-platform

Last synced: 3 months ago
JSON representation

Add conda activation to an IPython kernel spec

• Host: GitHub
• URL: https://github.com/vericast/kernda
• Owner: vericast
• License: bsd-3-clause
• Created: 2016-10-15T04:10:42.000Z (about 8 years ago)
• Default Branch: master
• Last Pushed: 2019-03-12T00:05:02.000Z (almost 6 years ago)
• Last Synced: 2024-09-28T18:40:57.690Z (3 months ago)
• Topics: conda, ipython, jupyter, kernel, team-platform
• Language: Python
• Homepage:
• Size: 58.6 KB
• Stars: 10
• Watchers: 5
• Forks: 4
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

        
# kernda

[![Project Status: Active – The project has reached a stable, usable state and is being actively developed.](https://www.repostatus.org/badges/latest/active.svg)](https://www.repostatus.org/#active)

[![Build Status](https://travis-ci.org/Valassis-Digital-Media/kernda.svg?branch=master)](https://travis-ci.org/Valassis-Digital-Media/kernda)

[![PyPI version](https://badge.fury.io/py/kernda.svg)](https://badge.fury.io/py/kernda)

[![codecov](https://codecov.io/gh/maxpoint/Valassis-Digital-Media/branch/master/graph/badge.svg)](https://codecov.io/gh/Valassis-Digital-Media/kernda)

Updates an IPython or IRKernel kernel spec (i.e., kernel.json file) to activate a conda environment before launching the kernel process.

## Requirements

* bash (i.e., does not yet work for kernels on Windows)

## Install

`pip install kernda`

## Usage

```

usage: kernda [-h] [--display-name DISPLAY_NAME] [--overwrite]

              [--env-dir ENV_DIR]

              kernel.json

positional arguments:

  kernel.json           Path to a kernel spec

optional arguments:

  -h, --help            show this help message and exit

  --display-name DISPLAY_NAME

                        New display name for the kernel (default: keep the

                        original)

  --overwrite, -o       Overwrite the existing kernel spec (default: False,

                        print to stdout

  --env-dir ENV_DIR     Path to the conda environment that should activate

                        (default: prefix path to the kernel in the existing

                        kernel spec file)

```

### Examples

```

# modify the kernel spec in place so that it activates the conda

# environment containing the kernel binary

kernda ~/.local/share/jupyter/kernels/my_kernel/kernel.json -o

# print the modified kernel spec to stdout and redirect it

# to a new file

kernda /usr/local/share/jupyter/kernels/my_kernel/kernel.json > other_kernel.json

# modify the kernel spec in place so that it activates the

# specified conda environment

kernda ~/some_kernel.json -o --env-dir ~/envs/my_env

```