What is PyViz, really? ¶
PyViz is about working together on many different levels:
- A set of package authors who work together to make their packages interoperate well, to help reduce gaps and duplication between packages and improve the overall user experience.
- A set of packages that have been verified to work well together, in matching versions, that can all be installed with one command and are continuously tested to ensure that they keep working together
- A set of examples and tutorials that help you see how various Python packages can work together to solve a huge range of visualization problems, from common situations to tricky special cases.
There is a specific installable package named
, but it’s valuable mainly for its dependencies, which are installed in matching versions when
is installed. There is almost no code actually in PyViz, apart from the examples in the tutorials.
Is PyViz a commercial product? ¶
PyViz is supported by Anaconda, Inc. and through partnerships with a number of commercial and government clients, but PyViz and all of its component packages are open source packages freely available for both commercial and non-commercial use.
Wow, how did you do all this work? ¶
The real work is in the individual projects, not here. :) We’re just trying to show you how much is now available across the different projects, and can only really take credit for making good examples.
Does PyViz include 3D support? ¶
A bit. A bit of historical context will probably help make this clear. Over the past 30 years or so, visualization packages and developers have been organized into two mostly non-overlapping camps dealing with either scientific visualization or information visualization . SciVis primarily focuses on data that is situated in the 3D space of the real world, and it thus uses variants of the three-dimensional rendering algorithms made to represent the real world. InfoVis primarily focuses on representing more abstract information that can be laid out in any number of ways, and for practical reasons it tends to use 2D representations where it is simple to show axes and other tools to explicitly indicate mappings from the page onto the underlying data coordinates.
PyViz currently focuses on the packages and applications from the InfoVis domain, and thus primarily supports two-dimensional plotting and layouts. There is some limited three-dimensional rendering in PyViz provided by Matplotlib and Plotly , but PyViz does not currently include comprehensive support for 3D visualizations, virtual reality, augmented reality, and related topics. See the PyViz Roadmap if you would like to help broaden its coverage of these topics, or else consider using complementary packages like MayaVi , VTK , IPyVolume , and Vaex (a 3D-capable version of Datashader).
What else is not covered well by PyViz? ¶
- Native GUI apps (only browser-based approaches are included so far)
- Domain-specific toolkits and analyses (not suitable for PyViz, but can be in affiliated repos)
- Hard real-time displays (PyViz offers dynamic updates, but cannot enforce strict latency requirements)
- Drag and drop visualization development (PyViz supports extensive interactivity, but does not currently have a way to build non-trivial visualizations graphically as in business intelligence apps or spreadsheets)
- Dynamic layout and reconfigurability of plots (PyViz layouts are largely static after creation, though tabs and toggling can be used to enable some types of configurability)
See the Roadmap for more details on topics that could be added in future work.
How do I report a problem? ¶
For the quickest response from those who can fix things, try to identify which PyViz package is most directly involved, and then click on the appropriate logo on the
PyViz home page
to find their Github site for filing issues. If you can’t figure out which project is involved, or if your issue is with this website, the notebooks you downloaded from it, or the
package itself, then please open an issue on
or chat with us on the
Gitter channel for HoloViews.