Data Visualization

Libraries for visualizing data. Also see awesome-javascript.

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A framework which lets you build dashboards, generate reports, or create chat apps in minutes.
streamlit/github.com/streamlit/streamlit /
Build and share machine learning apps, all in Python.
gradio-app/github.com/gradio-app/gradio /
A Python 2D plotting library.
matplotlib/github.com/matplotlib/matplotlib /
Interactive Web Plotting for Python.
bokeh/github.com/bokeh/bokeh /
Interactive graphing library for Python.
plotly/github.com/plotly/plotly.py /
Statistical data visualization using Matplotlib.
mwaskom/github.com/mwaskom/seaborn /
Declarative statistical visualization library for Python.
vega/github.com/vega/altair /
A grammar of graphics for Python based on ggplot2.
has2k1/github.com/has2k1/plotnine /
Interactive and realtime 2D/3D/Image plotting and science/engineering widgets.
pyqtgraph/github.com/pyqtgraph/pyqtgraph /
Interactive Plotting Library for the Jupyter Notebook.
bqplot/github.com/bqplot/bqplot /
High-performance scientific visualization based on OpenGL.
vispy/github.com/vispy/vispy /
A Python SVG Charts Creator.
Kozea/github.com/Kozea/pygal /
A cartographic python library with matplotlib support.
SciTools/github.com/SciTools/cartopy /
Python interface to Graphviz.
pygraphviz/github.com/pygraphviz/pygraphviz/ /
Matplotlib wrapper for publication-ready scientific figures with minimal code. Includes advanced subplot management, panel layouts, and batteries-included geoscience plotting.
Ultraplot/github.com/ultraplot/UltraPlot /

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