Metadata-Version: 2.1
Name: jupyterlab-ou-brand-extension
Version: 0.2.1
Summary: Custom branding extension for JupyterLab and RetroLab
Home-page: https://github.com/psychemedia/jupyterlab_ou_brand_extension
Author: Tony Hirst
Author-email: tony.hirst@gmail.com
License: BSD-3-Clause
Keywords: Jupyter,JupyterLab,JupyterLab3
Platform: Linux
Platform: Mac OS X
Platform: Windows
Classifier: License :: OSI Approved :: BSD License
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Framework :: Jupyter
Classifier: Framework :: Jupyter :: JupyterLab
Classifier: Framework :: Jupyter :: JupyterLab :: 3
Classifier: Framework :: Jupyter :: JupyterLab :: 4
Classifier: Framework :: Jupyter :: JupyterLab :: Extensions
Classifier: Framework :: Jupyter :: JupyterLab :: Extensions :: Prebuilt
Requires-Python: >=3.6
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: jupyterlab >=3.0

# jupyterlab_ou_brand_extension

Simple extension to apply custom brand logos JupyterLab.

Demo [JupyterLab site via JupyterLite](http://innovationoutside.github.io/jupyterlab_ou_brand_extension/)
Demo [RetroLab / notebook v.7 site via JupyterLite](http://innovationoutside.github.io/jupyterlab_ou_brand_extension/retro)

To install the prebuilt extension from a wheel:

`pip3 install --upgrade https://raw.githubusercontent.com/innovationOUtside/jupyterlab_ou_brand_extension/main/dist/jupyterlab_ou_brand_extension-0.1.0-py3-none-any.whl`

Custom logos applied to:

- JupyterLab IDE
- RetroLab homepage
- RetroLab notebooks
- favicons

![](./images/branding_logos_jupyterlab.png)

About: [Custom Branded Logos for JupyterLab and RetroLab (Jupyter notebook v.7)](https://blog.ouseful.info/2022/04/29/custom-branded-logos-for-jupyterlab-and-retrolab-jupyter-notebook-v-7/)

## Building and Pushing Newly Built Wheels to PyPi

```bash
# Build
pip install build

#Install the package
pip install .

# Node MUST BE INSTALLED
python -m build
# packages built into ./dist

# Push to PyPi
pip install twine
twine upload MY_PACKAGE.whl
```
