ipywidgets

A Python package for interactive geospatial analysis and visualization with Google Earth Engine.

A Pure Python, React-style Framework for Scaling Your Jupyter and Web Apps

Matplotlib Jupyter Integration

⚛️ React.js components 💯% compatible with 🪐 Jupyter.

An extension to render cadquery objects in JupyterLab via pythreejs

A pure Python port of React for ipywidgets

Custom Jupyter widgets for creating interactive 2D/3D maps using popular JavaScript libraries with bidirectional communication, such as Cesium, Mapbox, MapLibre, Leaflet, and OpenLayers

Create interactive webpages from Jupyter Notebooks

A Python Package for Visualizing and Analyzing Hyperspectral Data in Coastal Environments

Earth Engine and Geemap: Geospatial Data Science with Python

An IPython Widget for Aladin Lite, the sky viewer.

The power of Chart.js with Python

A WYSIWYG layout editor for Jupyter widgets

Visualizations of machine learning models and algorithms

High performance, editable, stylable datagrids in jupyter and jupyterlab

Notebooks for the SciPy 2017 tutorial "The Jupyter Interactive Widget Ecosystem"

🔗 minimalist ipywidget to interface with any Python vtkRenderWindow

ipywidgets library for drawing directed acyclic graphs in jupyterlab using dagre-d3

Data Visualizations is emerging as one of the most essential skills in almost all of the IT and Non IT Background Sectors and Jobs. Using Data Visualizations to make wiser decisions which could land the Business to make bigger profits and understand the root cause and behavioral analysis of people and customers associated to it. In this Repository I have deeply discussed about Line Plots, Bar plots, Scatter Plots, and Pie Charts, Apart from that I have Discussed scientific plots, 3d plots, animated plots, interactive plots to visualize any kind of business problem and that too of any complexity.

create ipywidgets user input form pydantic model or jsonschema