lux - Recommends a set of visualizations whenever a dataframe is printed in a notebook.

Altair - Declarative visualization library for Python, based on

Bokeh documentation

Bokeh is a python library for creating interactive visualizations for modern web browsers it helps you build beautiful graphics ranging from simple plots to complex dashboards with streaming data

bqplot - Grammar of Graphics-based interactive plotting framework for Jupyter.

Evidently - Interactive reports to analyze machine learning models during validation or production monitoring.

IPySigma - Prototype network visualization frontend for Jupyter notebooks.

ipychart - Interactive Chart.js plots in Jupyter.

ipyleaflet - Interactive visualization library for Leaflet.js maps in Jupyter notebooks.

ipysheet - Interactive spreadsheets in Jupyter.

ipytree - Tree UI element for Jupyter.

ipywebrtc - Video/Audio streaming in Jupyter.

ipywidgets - UI widgets for Jupyter.

ipyvolume - 3D plotting for Python in Jupyter based on widgets and WebGL.

itk-jupyter-widgets - Interactive widgets to visualize images in 2D and 3D.

jp_doodle - Infrastructure for building special purpose interactive diagrams in 2D and 3D.

jupyter-manim - Display

jupyter-gmaps - Interactive visualization library for Google Maps in Jupyter notebooks.

mpld3 — Bringing Matplotlib to the Browser

pd-replicator - Copy a pandas DataFrame to the clipboard with one click.

pyecharts - Python interface for the

pythreejs - Python / ThreeJS bridge utilizing the Jupyter widget infrastructure.

Qgrid - Interactive grid for sorting, filtering, and editing DataFrames in Jupyter notebooks.

tributary - Python data streams with Jupyter support.

tqdm - Fast, extensible progress bar for loops and iterables.

xleaflet - C++ Backend for ipyleaflet.

xwebrtc - C++ Backend for ipywebrtc.

xwidgets - C++ Backend for ipywidgets.