PyQtGraph is a pure-python graphics and GUI open source library built on PyQt4 / PySide and NumPy. It’s intended for use in mathematics / scientific / engineering applications.
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Tag: visualization
bqplot – Interactive Plotting Framework for the Jupyter Notebook
bqplot is a Grammar of Graphics-based interactive plotting framework for the Jupyter notebook.
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plotnine – Implementation of a Grammar of Graphics in Python
plotnine is an implementation of a grammar of graphics in Python. It’s based on ggplot2. The grammar allows users to compose plots by explicitly mapping data to the visual objects that make up the plot.
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Plotly Python Library – Interactive, Browser-based Graphing Library for Python
Plotly’s Python browser-based graphing library makes interactive, publication-quality graphs online.
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Vega-Altair – Declarative Statistical Visualization in Python
Vega-Altair is a declarative statistical visualization library for Python, based on Vega and Vega-Lite. This means you can write Python but output Vega-Lite.
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Diagrams – draw the cloud system architecture in Python code
Diagrams lets you draw the cloud system architecture in Python code. Diagrams is free and open source software.
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VisPy – Interactive Scientific Visualization in Python
VisPy is a high-performance, interactive, 2D/3D data visualization open source Python library.
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seaborn – Statistical Data Visualization with this Python library
Seaborn is a Python visualization library. It provides a high-level interface for drawing attractive statistical graphics in an easy way without too much boilerplate code.
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Bokeh – Python Interactive Visualization Library
Bokeh is an interactive visualization library that targets modern web browsers for presentation.
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matplotlib – Python 2D plotting library
matplotlib is a pure Python 2D plotting library designed to bring publication quality plotting to Python.
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