Awesome Python Data Visualization

Useful Python tools for data visualizations Python frameworks, libraries, and software of Data Visualization

This list is a collection of tools, projects, images, and resources conforming to the Awesome Manifesto

Contributions very welcome but first see Contributing.

Table of Contents

• Core
• High-Level Shared API
• High-Level
• Native-GUI
• Other InfoVis
• SciVis
• Geospatial
• Graphs and networks
• Other domain-specific
• Large-data rendering
• Dashboarding
• Colormapping
• Not in PyViz

Core

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• matplotlib - 2D plotting library.
• plotly - Interactive web based visualization built on top of plotly.js
• bokeh - Interactive Web Plotting for Python.

High-Level Shared API

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High-Level

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• altair - Declarative statistical visualizations, based on Vega-Lite.
• seaborn - A library for making attractive and informative statistical graphics.
• Chartify - Bokeh wrapper that makes it easy for data scientists to create charts.
• holoviews - Complex and declarative visualizations from annotated data.

Native-GUI

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• PyQtGraph - Interactive and realtime 2D/3D/Image plotting and science/engineering widgets.

Other InfoVis

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• bqplot - Interactive Plotting Library for the Jupyter Notebook.
• plotnine - A grammar of graphics for Python based on ggplot2.
• pygal - A Python SVG Charts Creator.
• toyplot - The kid-sized plotting toolkit for Python with grownup-sized goals.

SciVis

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• glumpy - OpenGL scientific visualizations library.
• mayavi - interactive scientific data visualization and 3D plotting in Python.
• PyVista – 3D plotting and mesh analysis through a streamlined interface for the Visualization Toolkit (VTK)
• vedo - Library for scientific analysis and visualization of 3D objects based on VTK.
• VisPy - High-performance scientific visualization based on OpenGL.
• vtk - 3D computer graphics, image processing, and visualization that includes a Python interface.

Geospatial

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• cartopy - A cartographic python library with matplotlib support.
• GeoVista - Cartographic rendering and mesh analytics powered by PyVista.

Graphs and networks

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• pygraphviz - Python interface to Graphviz.

Other domain-specific

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• missingno - provides flexible toolset of data-visualization utilities that allows quick visual summary of the completeness of your dataset, based on matplotlib.

Large-data rendering

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Dashboarding

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• dash - Built on top of Flask, React and Plotly aimed at analytical web applications.
  • awesome-dash
• Streamlit - Streamlit turns data scripts into shareable web apps in minutes. All in pure Python. No front‑end experience required.

Colormapping

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Not in PyViz

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• diagram - Text mode diagrams using UTF-8 characters
• diagrams - Diagram as Code.
• ggplot - plotting system based on R's ggplot2.
• ipychart - The power of Chart.js in Jupyter Notebook.
• pandas-profiling - generates statistical analytic reports with visualization for quick data analysis.
• pptk - Visualize and work with 2D/3D pointclouds
• pyechars - Python binding for Echarts library.
• three.py - Easy to use 3D library based on PyOpenGL. Inspired by Three.js.
• veusz - Python multiplatform GUI plotting tool and graphing library