PyViz is a collaboration between the maintainers of several packages, including Bokeh , HoloViews , GeoViews , hvPlot , Datashader , Param , and Panel .

The authors of these tools are working together closely to help make them into a coherent solution to a wide range of Python visualization problems.

If you like PyViz, please tweet a screenshot of your latest creation, linking to  pyviz.org  and tagging it  #PyViz  along with any other library you relied on (  @HoloViews  ,  @Datashader  ,  @BokehPlots  ,  @Matplotlib  , etc.). Thanks!

There is an active open source community around PyViz, and contributions from anyone are welcome. Contributions of any sort are valuable, including new documentation, plus bug reports and fixes to code or documentation that might seem trivial (PyViz is partly about having as many of those ironed out as possible!). Please go ahead and open a pull request or create a new issue :)

While the PyViz team itself maintains a number of packages on PyViz’s GitHub , PyViz depends on and supports a number of other open-source libraries; for more information, see PyViz’s detailed background .

The entire PyViz stack is open source, free for commercial and non-commercial use. However, if you are lucky enough to be in a position to fund developers to work on PyViz, you can contact  sales@anaconda.com  , or you can also collaborate with PyViz via Quansight’s open source partnerships .

Additionally, some parts of the PyViz stack are able to accept donations, e.g. Bokeh via NumFOCUS .

## Acknowledgements and prior funding ¶

The original development of core PyViz libraries was supported in part by:

The PyViz team thanks Brian Thomas at Washington State University for donating the pyviz.org domain to the PyViz project. If you are interested in Brian’s PyViz smart-home visualization tool, check out his paper .