A high-level plotting API for the PyData ecosystem built on HoloViews.
Project Links
Meta
Author: Jean-Luc Stevens, Philipp Rudiger
Maintainer: Jean-Luc Stevens, Philipp Rudiger
Requires Python: >=3.9
Classifiers
Development Status
- 5 - Production/Stable
Framework
- Matplotlib
Intended Audience
- Developers
- Science/Research
License
- OSI Approved :: BSD License
Natural Language
- English
Operating System
- OS Independent
Programming Language
- Python :: 3.9
- Python :: 3.10
- Python :: 3.11
- Python :: 3.12
- Python :: 3.13
Topic
- Scientific/Engineering
- Software Development :: Libraries
HoloViews
Stop plotting your data - annotate your data and let it visualize itself.
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HoloViews is an open-source Python library designed to make data analysis and visualization seamless and simple. With HoloViews, you can usually express what you want to do in very few lines of code, letting you focus on what you are trying to explore and convey, not on the process of plotting.
Check out the HoloViews web site for extensive examples and documentation.
Installation
HoloViews works with Python on Linux, Windows, or Mac, and works seamlessly with Jupyter Notebook and JupyterLab.
You can install HoloViews either with conda or pip, for more information see the install guide.
conda install holoviews
pip install holoviews
Developer Guide
If you want to help develop HoloViews, you can checkout the developer guide, this guide will help you get set-up. Making it easy to contribute.
Support & Feedback
If you find any bugs or have any feature suggestions please file a GitHub issue.
If you have any usage questions, please ask them on HoloViz Discourse,
For general discussion, we have a Discord channel.
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1.14.7
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1.14.6
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1.14.3
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1.14.2a2
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1.14.2a1
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1.14.1
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1.14.1a1
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1.14.0
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1.14.0a16
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1.14.0a10
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1.13.5
Oct 26, 2020
1.13.4
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1.13.3
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1.13.2
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1.13.1
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1.13.0
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1.12.7
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1.12.6
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1.12.5
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1.12.4
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1.12.3
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1.12.2
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1.12.1
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1.11.3
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1.11.2
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1.11.1
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1.11.0
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1.10.9
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Wheel compatibility matrix
Files in release
Extras:
Dependencies:
bokeh
(>=3.1)
colorcet
numpy
(>=1.21)
packaging
pandas
(>=1.3)
panel
(>=1.0)
param
(<3.0,>=2.0)
pyviz-comms
(>=2.1)