Plotly Python Packages

plotly

The interactive graphing library for Python :sparkles:

dash

Data Apps & Dashboards for Python. No JavaScript Required.

panel

Panel: The powerful data exploration & web app framework for Python

colorcet

A set of useful perceptually uniform colormaps for plotting scientific data

plotly-express

Plotly Express - Simple syntax for complex charts. Now integrated into plotly.py!

plotly-resampler

Visualize large time series data with plotly.py

dash-mantine-components

Plotly Dash components based on Mantine React Components

dash-iconify

Iconify for Plotly Dash

plotly-stubs

Type stubs for plotly.

traceml

Engine for AI/ML/Data tracking, visualization, explainability, drift detection, and dashboards for Polyaxon.

pygwalker

PyGWalker: Turn your dataframe into an interactive UI for visual analysis

datatile

Engine for AI/ML/Data tracking, visualization, explainability, drift detection, and dashboards for Polyaxon.

pandas-summary

Engine for AI/ML/Data tracking, visualization, explainability, drift detection, and dashboards for Polyaxon.

jupyterlab-mathjax3

Renderers and renderer extensions for JupyterLab

ridgeplot

Beautiful ridgeline plots in Python

explainerdashboard

Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.

chart-studio

The interactive graphing library for Python :sparkles:

leafmap

A Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment

django-plotly-dash

Expose plotly dash apps as django tags

pywry

PyWry is a cross-platform app factory, rendering engine and UI toolkit for Python that produces native desktop, web, and notebook experiences from a single API.

pymatviz

A toolkit for visualizations in materials informatics.

jquantstats

Time series and portfolio analytics for quantitative finance.

vizro-dash-components

Vizro is a low-code toolkit for building high-quality data visualization apps.

vizro

Vizro is a low-code toolkit for building high-quality data visualization apps.