seaborn Alternatives - Python Data Visualization

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9.0

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Activity

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Stars 6,294

Watchers 244

Forks 1,033

Last Commit 8 months ago

Code Quality Rank: L2

Programming language: Python

License: BSD 3-clause "New" or "Revised" License

Tags: Data Visualization Scientific Engineering Visualization Multimedia Graphics

seaborn alternatives and similar packages

Based on the "Data Visualization" category

Apache Superset

9.8 9.7 L2 seaborn VS Apache Superset

Apache Superset (incubating) is a modern, enterprise-ready business intelligence web application
redash

9.6 9.6 L4 seaborn VS redash

Connect to any data source, easily visualize, dashboard and share your data.
bokeh

9.6 9.5 L4 seaborn VS bokeh

Interactive Web Plotting for Python.
matplotlib

9.6 9.9 L3 seaborn VS matplotlib

A Python 2D plotting library.
plotly

9.0 9.3 L2 seaborn VS plotly

Collaborative web plotting for Python and matplotlib.
folium

8.8 7.9 seaborn VS folium

Manipulate your data in Python, then visualize it in a Leaflet map via folium.
Altair

8.3 9.2 seaborn VS Altair

Declarative statistical visualization library for Python.
ggplot

8.2 0.0 L4 seaborn VS ggplot

Same API as ggplot2 for R.
Flask JSONDash

7.7 0.9 seaborn VS Flask JSONDash

Build javascript chart dashboards without any front-end code. Uses any json endpoint. JSON config only. Ready to go.
PyQtGraph

7.5 8.7 L2 seaborn VS PyQtGraph

Interactive and realtime 2D/3D/Image plotting and science/engineering widgets.
VisPy

7.4 8.7 L3 seaborn VS VisPy

High-performance scientific visualization based on OpenGL.
pygal

7.3 0.0 L2 seaborn VS pygal

A Python SVG Charts Creator.
bqplot

7.2 8.6 seaborn VS bqplot

Interactive Plotting Library for the Jupyter Notebook
vincent

6.9 0.0 L4 seaborn VS vincent

A Python to Vega translator.
SnakeViz

5.0 5.0 L4 seaborn VS SnakeViz

A browser based graphical viewer for the output of Python's cProfile module.
pygraphviz

4.2 1.4 L3 seaborn VS pygraphviz

Python interface to Graphviz.
GooPyCharts

2.5 0.0 L4 seaborn VS GooPyCharts

A Google Charts API for Python, meant to be used as an alternative to matplotlib.
GR

2.5 9.0 seaborn VS GR

GR framework: a graphics library for visualisation applications
tuna

1.8 6.9 seaborn VS tuna

Python profile viewer
SVGIS

1.3 1.3 L4 seaborn VS SVGIS

Draw SVG maps with geodata
chart

1.2 6.5 seaborn VS chart

📊 Python charts with 0 dependencies

* Code Quality Rankings and insights are calculated and provided by Lumnify.
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README

seaborn: statistical data visualization

Seaborn is a Python visualization library based on matplotlib. It provides a high-level interface for drawing attractive statistical graphics.

Documentation

Online documentation is available at seaborn.pydata.org.

The docs include a tutorial, example gallery, API reference, and other useful information.

Dependencies

Seaborn supports Python 2.7 and 3.5+.

Installation requires numpy, scipy, pandas, and matplotlib. Some functions will optionally use statsmodels if it is installed.

Installation

The latest stable release (and older versions) can be installed from PyPI:

pip install seaborn

You may instead want to use the development version from Github:

pip install git+https://github.com/mwaskom/seaborn.git#egg=seaborn

Testing

To test seaborn, run make test in the source directory.

This will exercise both the unit tests and docstring examples (using pytest).

Development

Seaborn development takes place on Github: https://github.com/mwaskom/seaborn

Please submit any reproducible bugs you encounter to the issue tracker.

*Note that all licence references and agreements mentioned in the seaborn README section above are relevant to that project's source code only.

seaborn

Statistical data visualization using matplotlib.