An open access book on scientific visualization using python and matplotlib
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Updated
Jan 22, 2024 - Python
Data visualization is the visual depiction of data through the use of graphs, plots, and informational graphics. Its practitioners use statistics and data science to convey the meaning behind data in ethical and accurate ways.
An open access book on scientific visualization using python and matplotlib
Panel: The powerful data exploration & web app framework for Python
A Python package for interactive geospatial analysis and visualization with Google Earth Engine.
A Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment
🐍 📊 📈 Build complex dashboards without any front-end code. Use your own endpoints. JSON config only. Ready to go.
Matplotlib 3.1 cheat sheet.
"Cyberpunk style" for matplotlib plots
📊📈 Serves up Pandas dataframes via the Django REST Framework for use in client-side (i.e. d3.js) visualizations and offline analysis (e.g. Excel)
A multi-page streamlit app for geospatial
Circular visualization in Python (Circos Plot, Chord Diagram, Radar Chart)
Support for jupyter notebook templates in jupyterlab
Visualization of OpenStreetMap Data with Blender and Python
📈 The panel-highcharts package makes it easy to use HighCharts in Python, Notebooks and with HoloViz Panel.
A collection of solara web apps for geospatial applications
Make a Kepler orrery gif or movie of all the Kepler multi-planet systems
A web-based node editor component for plotly dash
A streamlit app template based on streamlit-option-menu
A minimalist extension and utility pair for time series analysis and visualization of PostgreSQL internal statistics.
Created by Charles Joseph Minard