seaborn alternatives and similar packages
Based on the "Data Visualization" category
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seaborn: statistical data visualization
Seaborn is a Python visualization library based on matplotlib. It provides a high-level interface for drawing attractive statistical graphics.
Online documentation is available at seaborn.pydata.org.
To build the documentation locally, please refer to [
Seaborn supports Python 3.6+ and no longer supports Python 2.
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 seaborn requires installing additional packages listed in
To test the code, run
make test in the source directory. This will exercise both the unit tests and docstring examples (using pytest) and generate a coverate report.
The doctests require a network connection (unless all example datasets are cached), but the unit tests can be run offline with
Code style is enforced with
flake8 using the settings in the [
setup.cfg](./setup.cfg) file. Run
make lint to check.
Seaborn development takes place on Github: https://github.com/mwaskom/seaborn
Please submit bugs that you encounter to the issue tracker with a reproducible example demonstrating the problem. Questions about usage are more at home on StackOverflow, where there is a seaborn tag.
*Note that all licence references and agreements mentioned in the seaborn README section above are relevant to that project's source code only.