Link to project board for roadmap

doc/about/roadmap.rst

@@ -1,158 +1,8 @@
-.. _roadmap:
-
 Roadmap
 =======
 
-This page contains the current roadmap for the Vega-Altair project. The roadmap is
-informed by the needs of the Vega-Altair community, and the priorities of the active
-project contributors. It's designed to communicate the direction of the project,
-but it's not a commitment that these items will be completed in a particular timeframe.
-If you would like to help contribute to any of these areas, or suggest new ones,
-please `start a discussion <https://github.com/vega/altair/discussions>`_.
-
-Vega-Altair is deeply integrated with other components in the Vega ecosystem,
-and as such many items on the roadmap will require work in other projects.
-Abbreviations for these projects are included at the end of project descriptions
-where relevant:
-
-* *(VL)* — `Vega-Lite <https://vega.github.io/vega-lite/>`_
-* *(VG)* — `Vega <https://vega.github.io/vega/>`_
-* *(VF)* — `VegaFusion <https://vegafusion.io/>`_
-* *(VC)* — `VlConvert <https://github.com/vega/vl-convert>`_
-
-API Ergonomics
---------------
-The primary job of the Vega-Altair library is to provide an ergonomic Python
-API for generating Vega-Lite JSON specifications, and there are several improvements
-here that we would like to investigate.
-
-Areas of focus:
-
-* Improve the syntax for creating condition expressions with two or more
-  predicates.
-
-* Explore the possibility of a new operator, ``*``, for modular compositing of sub components.
-  See also `Deneb.jl <https://brucala.github.io/Deneb.jl/dev>`_ by @brucala.
-
-* Standardize the API of methods that convert charts into other formats (``alt.Chart().to_<format>``).
-
-* **Released in 5.2:** *Add type hints to the public API and most of the internals so that users can type check their Altair
-  code with a static type  checker such as mypy. This will also make it easier for other packages to
-  integrate with Altair.*
-
-Documentation
--------------
-We want to continue to improve Vega-Altair's official documentation to be more
-useful for both beginning and experienced users.
-
-Areas of focus:
-
-* Incorporate a conceptual guide that includes best practices of effective
-  data communication.
-
-* Update and extend the tutorial section and replace outdated materials.
-
-* Add usage guide with best practices for publishing Vega-Altair charts in various
-  contexts including websites, research papers, embedded dashboards, and interactive
-  platforms.
-
-* Add guide on building domain specific visualization packages on top of Vega-Altair.
-  For example, Vega-Altair for soccer analytics.
-
-* Add documentation for the expression language that is available throughout the API.
-
-Ecosystem Integration
----------------------
-We want Vega-Altair to be well integrated with the PyData ecosystem. It should
-work well with popular libraries and ecosystem standards.
-
-Areas of focus:
-
-* Provide integration with the broader Python DataFrame ecosystem (beyond pandas). Ensure
-  that all of Vega-Altair's features are available to any DataFrame library that implements the
-  `DataFrame Interchange Protocol <https://data-apis.org/dataframe-protocol/latest/index.html>`_.
-
-* Work with dashboard toolkit maintainers to ensure that Vega-Altair is well supported.
-  Write documentation for best practices for making Vega-Altair's interactive features
-  available in Python.
-
-Gridded Data Support
---------------------
-Vega-Altair currently requires tidy tabular data as input, so it is not currently a natural
-choice for working with gridded data. We would like to extend the project to include native
-support for gridded datasets.
-
-Areas of focus:
-
-* Add support for Python array/tensor interchange protocol (through the ``__dlpack__`` interface)
-
-* Add support for creating charts from Xarray
-  `DataArray <https://docs.xarray.dev/en/stable/generated/xarray.DataArray.html>`_
-  objects (rendering large arrays may require the performance work described elsewhere).
-
-Increased Coverage of Statistical Charts
-----------------------------------------
-While Vega-Altair includes support for many types of statistical visualizations,
-there are a few important types that are not yet possible.
-
-Areas of focus:
-
-* Add support for 2D density visualizations
-  (`vega-lite#6043 <https://github.com/vega/vega-lite/issues/6043>`_) *(VL)*
-
-* Add Violin chart support
-  (`vega-lite#3442 <https://github.com/vega/vega-lite/issues/3442>`_) *(VL)*
-
-Map Tile Support
-----------------
-We want Vega-Altair to provide first-class support for displaying map tiles from
-xyz tile providers like OpenStreetMap. We've released a first version of
-`altair_tiles <https://github.com/vega/altair_tiles>`_ to accomplish this. Feedback is very welcome!
-
-Scale/Performance Improvements
-------------------------------
-In the traditional Vega-Altair architecture, a chart's entire input dataset is serialized
-to JSON and transferred to the browser for data transformation and rendering. Rendering
-itself is then performed by The Vega JavaScript library using the Canvas API (which is
-not GPU accelerated). This architecture has many advantages (e.g. chart specifications
-are fully self-contained and portable to Python-free rendering environments), but it
-is not well suited for creating charts of large datasets.
-
-Through a variety of enhancements, our goal is to allow all Vega-Altair charts to
-scale comfortably to over 1 million rows.
-
-Areas of focus:
-
-* Provide optional integration with VegaFusion to automatically
-  move data transformation steps from the browser to efficient multi-threaded implementations
-  in the Python kernel.
-
-* Utilize binary serialization of datasets in Apache Arrow IPC format between the Python kernel
-  and the browser. This will significant reduce serialization time for large unaggregated
-  visualizations such as scatter plots.
-
-* Support creating Vega-Altair charts that reference tables in external database systems, and convert
-  data transformation steps to SQL that can be evaluated by the database before the results are
-  transferred to the Python kernel *(VF)*.
-
-* Add support for GPU accelerated rendering. This will enable rendering of large unnagregated
-  visualizations at interactive speeds. For example, pan and zoom interactions on a large scatter
-  plot *(VG)*.
-
-Static Image Export
--------------------
-Even though Vega-Altair charts are rendered by the Vega JavaScript library, it's important to
-provide reliable (and easy to install) support for exporting charts to static images. Image
-export was dramatically simplified in Vega-Altair 5.0 with the adoption of VlConvert,
-which has no external dependencies on a system web-browser or Node.js installation. Now that
-image export is easy to install and easy to use, we want to improve support for publication
-workflows.
-
-Areas of focus:
-
-* **Released in 5.1:** *Support configurable pixel density in PNG image export* *(VC)*.
-
-* **Released in 5.2:** *Support exporting charts to vector PDF files with embedded text* *(VC)*.
+The roadmap for Vega-Altair and related projects can be found in
+`this project board <https://github.com/orgs/vega/projects/9/views/3?pane=info>`_.
 
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