Jupyterlab-dash

Latest version: v0.1.0a3

Safety actively analyzes 621673 Python packages for vulnerabilities to keep your Python projects secure.

Scan your dependencies

0.1.0a2

Added

- conda recipe

Fixed

- Don't crash when imported in a non-IPython context

0.1.0a1

Initial release


Check out the most recent version of master


$ git checkout master
$ git stash
$ git pull


Update CHANGELOG and README

Update the `CHANGELOG.md` file with changes since the last release.

Update the README with the new version numbers, and push README updates.

Commit and push these updates.

Release jupyterlab-dash to PyPI

Install `twine`


$ pip install twine


Update version in `jupyterlab_dash/__version__.py`.
This will be referred to as version `A.B.C` below.

Build and upload


$ python setup.py upload


Release jupyterlab-dash to anaconda cloud

From a conda environment, install `anaconda-client`.

Run `anaconda login` from the terminal and enter the plotly channel credentials.

Build the conda package


$ conda build recipe/


Upload conda package by running the `anaconda upload ...` command displayed at
then end of the conda build command above.

Release jupyterlab-dash to NPM

First [install yarn](https://yarnpkg.com/lang/en/docs/install/).

To publish a pre-release


yarn publish --access public --tag next


To publish a final release


yarn publish --access public


Enter the new version number in the prompt

Add GitHub Release entry

Go to https://github.com/plotly/jupyterlab-dash/releases and "Draft a new release"

Enter the `vA.B.C` tag

Make "Release title" the same string as the tag.

Copy changelog section for this version as the "Describe this release"

Links

Releases

Has known vulnerabilities

© 2024 Safety CLI Cybersecurity Inc. All Rights Reserved.