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awesome-python-data-visualization

😎 list of awesome python data visualization
https://github.com/tkoyama010/awesome-python-data-visualization

Last synced: 3 days ago
JSON representation

  • Core

  • High-Level

    • 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.

  • Other InfoVis

    • toyplot - The kid-sized plotting toolkit for Python with grownup-sized goals.
    • plotnine - A grammar of graphics for Python based on ggplot2.

  • SciVis

    • glumpy - OpenGL scientific visualizations library.
    • mayavi - interactive scientific data visualization and 3D plotting in Python.
    • PyVista
    • VisPy - High-performance scientific visualization based on OpenGL.

  • Geospatial

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

  • Graphs and networks

    • pygraphviz - Python interface to [Graphviz](http://www.graphviz.org/).

  • Other domain-specific

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

  • Native-GUI

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

  • Dashboarding

    • awesome-dash
    • Streamlit - Streamlit turns data scripts into shareable web apps in minutes. All in pure Python. No front‑end experience required.

  • Not in PyViz

    • diagram - Text mode diagrams using UTF-8 characters
    • diagrams - Diagram as Code.
    • ggplot - plotting system based on [R's](#r-tools) 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.
    • veusz - Python multiplatform GUI plotting tool and graphing library
Programming Languages
Python 13 C++ 1
Categories
Not in PyViz 8 High-Level 4 SciVis 4 Other InfoVis 2 Dashboarding 2 Geospatial 2 Graphs and networks 1 Native-GUI 1 Core 1 Other domain-specific 1
Sub Categories
Keywords
python 10 visualization 4 data-analysis 3 plotting 3 vtk 2 data-visualization 2 data-science 2 mesh 2 plots 1 echarts 1 3-d 1 bokeh 1 pandas 1 gps-data 1 graphics-3d 1 missing-data 1 kd-tree 1 lidar 1 octree 1 pointclouds 1 scientific-visualization 1 scientific-research 1 open-science 1 meshviewer 1 mesh-processing 1 finite-elements 1 finite-element-analysis 1 fem 1 3d 1 graphviz 1 diagram-as-code 1 diagram 1 architecture 1 jupyter-notebook 1 notebook 1 cartopy 1 geometry 1 maps 1 matplotlib 1 projections 1 spatial 1 engine 1 game 1 numpy 1 opengl 1 rendering 1 science 1 awesome 1 awesome-list 1 plotly 1