ipydatagrid is now part of Project Jupyter
Today, we are proud to announce that the ipydatagrid open source project has been incorporated into Project Jupyter as part of the Jupyter…
Today, we are proud to announce that the ipydatagrid open source project has been incorporated into Project Jupyter as part of the Jupyter…
ITables, or Interactive Tables, is a MIT-licensed Python package that renders Python DataFrames using the DataTables JavaScript library…
anywidget is a Python library that makes it simple and enjoyable to create custom Jupyter Widgets that run in classic Jupyter notebooks…
After a long break from in-person events, we are excited to announce an in-person Jupyter Community Workshop!
Ipycanvas + Box2D
When using a Jupyter Notebook to work on data science projects, I’ve found small user interface abstractions to be very useful. Scrubbing a…
Diving into the implementation of xwidgets
The Jupyter widgets ecosystem offers a broad variety of data visualization tools for exploratory analysis in the notebook. However, we…
As you may already know, the Jupyter Notebook and JupyterLab are Browser-based applications. Browsers are incredibly powerful, they allow…
Creating complex layouts of widgets (button, sliders, maps, graphs etc.) can be cumbersome. New layout templates make this task a breeze.
A Hands-On Guide
We are pleased to announce the release of ipywidgets 6.0, the Jupyter interactive widget library. Jupyter interactive widgets enable building...
Hello Jovyan, A version of ipywidget has been released, which fixes important security issues. Please upgrade ipywidgets as soon as you can: $ pip...
On April 19, 2016, we released ipywidgets 5.0. The ipywidgets package provides interactive HTML & JavaScript widgets (such as sliders, checkboxes,...