ipyevents provides a custom widget for returning mouse and keyboard events to Python. Use it to:
See this demo notebook for documentation.
Special thanks to the contributors to ipyevents!
Dev version:
To install using conda:
$ conda install -c conda-forge ipyevents
To install use pip:
$ pip install ipyevents
Using with JupyterLab (whether you installed with conda or pip):
2.0.0 and higher) are only built for JupyterLab 3 and up.$ jupyter labextension install @jupyter-widgets/jupyterlab-manager ipyevents
$ git clone https://github.com/mwcraig/ipyevents.git
$ cd ipyevents
$ pip install -e .
$ jupyter nbextension install --py --symlink --sys-prefix ipyevents
$ jupyter nbextension enable --py --sys-prefix ipyevents
For Jupyter Lab also do this:
$ npm install
$ npm run build
$ jupyter labextension install
FAQs
A custom widget for returning mouse and keyboard events to Python
The npm package ipyevents receives a total of 460 weekly downloads. As such, ipyevents popularity was classified as not popular.
We found that ipyevents demonstrated a not healthy version release cadence and project activity because the last version was released a year ago. It has 1 open source maintainer collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Research
Security News
Attackers used a malicious npm package typosquatting a popular ESLint plugin to steal sensitive data, execute commands, and exploit developer systems.
Security News
The Ultralytics' PyPI Package was compromised four times in one weekend through GitHub Actions cache poisoning and failure to rotate previously compromised API tokens.
Security News
Research
Socket researchers found a malicious Maven package impersonating the legitimate ‘XZ for Java’ library, introducing a backdoor for remote code execution.