Security News
Research
Data Theft Repackaged: A Case Study in Malicious Wrapper Packages on npm
The Socket Research Team breaks down a malicious wrapper package that uses obfuscation to harvest credentials and exfiltrate sensitive data.
ipydatagrid
Advanced tools
Fast Datagrid widget for the Jupyter Notebook and JupyterLab
A fully-featured DataGrid interface
Highly performant and fully integrated with ipywidgets
Customize the way data is represented in your grid using a variety of renderers
Enjoy a sophisticated selections model with two-way data binding
Conditional formatting powered by Vega Expressions
Tutorial and example notebooks can be found in the /examples
directory.
If using JupyterLab, ipydatagrid
requires JupyterLab version 3 or higher.
You can install ipydatagrid
using pip
or conda
:
Using pip
:
pip install ipydatagrid
Using conda
:
conda install -c conda-forge ipydatagrid
If you are using Jupyter Notebook 5.2 or earlier, you may also need to enable the nbextension:
jupyter nbextension enable --py [--sys-prefix|--user|--system] ipydatagrid
NOTE: For examples using Scales from bqplot to work as intended, the bqplot notebook and lab extensions must be installed as well. See the bqplot repo for installation instructions:
For a development installation:
git clone https://github.com/Bloomberg/ipydatagrid.git
cd ipydatagrid
pip install -e ".[dev]"
Enabling development install for Jupyter notebook:
jupyter nbextension install --py --symlink --sys-prefix ipydatagrid
jupyter nbextension enable --py --sys-prefix ipydatagrid
Enabling development install for JupyterLab:
jupyter labextension develop . --overwrite
Note for developers: the --symlink
argument on Linux or OS X allows one to modify the JavaScript code in-place. This feature is not available with Windows.
`
We :heart: contributions.
Have you had a good experience with this project? Why not share some love and contribute code, or just let us know about any issues you had with it?
We welcome issue reports here; be sure to choose the proper issue template for your issue, so that we can be sure you're providing the necessary information.
Before sending a Pull Request, please make sure you read our Contribution Guidelines.
Please read the LICENSE file.
This project has adopted a Code of Conduct. If you have any concerns about the Code, or behavior which you have experienced in the project, please contact us at opensource@bloomberg.net.
If you believe you have identified a security vulnerability in this project, please send email to the project team at opensource@bloomberg.net, detailing the suspected issue and any methods you've found to reproduce it.
Please do NOT open an issue in the GitHub repository, as we'd prefer to keep vulnerability reports private until we've had an opportunity to review and address them.
FAQs
Fast Datagrid widget for the Jupyter Notebook and JupyterLab
We found that ipydatagrid demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 2 open source maintainers 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.
Security News
Research
The Socket Research Team breaks down a malicious wrapper package that uses obfuscation to harvest credentials and exfiltrate sensitive data.
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.