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Add Roadmap and CoC to the documentation (#3129)
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* Move "Resources" into "Getting Started"

* Add "About" section with roadmap stub and code-of-conduct policy

* Add Roadmap section

---------

Co-authored-by: Mattijn van Hoek <[email protected]>
Co-authored-by: Stefan Binder <[email protected]>
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127 changes: 127 additions & 0 deletions doc/about/code_of_conduct.rst
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Code of Conduct
===============

Our Pledge
----------
We as members, contributors, and leaders pledge to make participation in our
community a harassment-free experience for everyone, regardless of age, body
size, visible or invisible disability, ethnicity, sex characteristics, gender
identity and expression, level of experience, education, socio-economic status,
nationality, personal appearance, race, caste, color, religion, or sexual
identity and orientation.

We pledge to act and interact in ways that contribute to an open, welcoming,
diverse, inclusive, and healthy community.

Our Standards
-------------
Examples of behavior that contributes to a positive environment for our
community include:

- Demonstrating empathy and kindness toward other people
- Being respectful of differing opinions, viewpoints, and experiences
- Giving and gracefully accepting constructive feedback
- Accepting responsibility and apologizing to those affected by our mistakes,
and learning from the experience
- Focusing on what is best not just for us as individuals, but for the overall
community

Examples of unacceptable behavior include:

- The use of sexualized language or imagery, and sexual attention or advances of
any kind
- Trolling, insulting or derogatory comments, and personal or political attacks
- Public or private harassment
- Publishing others' private information, such as a physical or email address,
without their explicit permission
- Other conduct which could reasonably be considered inappropriate in a
professional setting

Enforcement Responsibilities
----------------------------
Community leaders are responsible for clarifying and enforcing our standards of
acceptable behavior and will take appropriate and fair corrective action in
response to any behavior that they deem inappropriate, threatening, offensive,
or harmful.

Community leaders have the right and responsibility to remove, edit, or reject
comments, commits, code, wiki edits, issues, and other contributions that are
not aligned to this Code of Conduct, and will communicate reasons for moderation
decisions when appropriate.

Scope
-----
This Code of Conduct applies within all community spaces, and also applies when
an individual is officially representing the community in public spaces.
Examples of representing our community include using an official e-mail address,
posting via an official social media account, or acting as an appointed
representative at an online or offline event.

Enforcement
-----------
Instances of abusive, harassing, or otherwise unacceptable behavior may be
reported to the community leaders responsible for enforcement at
[email protected].
All complaints will be reviewed and investigated promptly and fairly.

All community leaders are obligated to respect the privacy and security of the
reporter of any incident.

Enforcement Guidelines
----------------------
Community leaders will follow these Community Impact Guidelines in determining
the consequences for any action they deem in violation of this Code of Conduct:

1. Correction
~~~~~~~~~~~~~
**Community Impact**: Use of inappropriate language or other behavior deemed
unprofessional or unwelcome in the community.

**Consequence**: A private, written warning from community leaders, providing
clarity around the nature of the violation and an explanation of why the
behavior was inappropriate. A public apology may be requested.

2. Warning
~~~~~~~~~~
**Community Impact**: A violation through a single incident or series of
actions.

**Consequence**: A warning with consequences for continued behavior. No
interaction with the people involved, including unsolicited interaction with
those enforcing the Code of Conduct, for a specified period of time. This
includes avoiding interactions in community spaces as well as external channels
like social media. Violating these terms may lead to a temporary or permanent
ban.

3. Temporary Ban
~~~~~~~~~~~~~~~~
**Community Impact**: A serious violation of community standards, including
sustained inappropriate behavior.

**Consequence**: A temporary ban from any sort of interaction or public
communication with the community for a specified period of time. No public or
private interaction with the people involved, including unsolicited interaction
with those enforcing the Code of Conduct, is allowed during this period.
Violating these terms may lead to a permanent ban.

4. Permanent Ban
~~~~~~~~~~~~~~~~
**Community Impact**: Demonstrating a pattern of violation of community
standards, including sustained inappropriate behavior, harassment of an
individual, or aggression toward or disparagement of classes of individuals.

**Consequence**: A permanent ban from any sort of public interaction within the
community.

Attribution
-----------
This Code of Conduct is adapted from the `Contributor Covenant <https://www.contributor-covenant.org>`_,
version 2.1, available at
`https://www.contributor-covenant.org/version/2/1/code_of_conduct.html <https://www.contributor-covenant.org/version/2/1/code_of_conduct.html>`_.

Community Impact Guidelines were inspired by
`Mozilla's code of conduct enforcement ladder <https://github.com/mozilla/diversity>`_.

For answers to common questions about this code of conduct, see the FAQ at
`https://www.contributor-covenant.org/faq <https://www.contributor-covenant.org/faq>`_. Translations are available at
`https://www.contributor-covenant.org/translations <https://www.contributor-covenant.org/translations>`_.
165 changes: 165 additions & 0 deletions doc/about/roadmap.rst
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.. _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/altair-viz/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 this composition proposal
`queryverse/VegaLite.jl#411 <https://github.com/queryverse/VegaLite.jl/pull/411>`_ and
also https://aog.makie.org/stable/generated/penguins/#Tutorial.

* Standardize the API of methods that convert charts into other formats (``alt.Chart().to_<format>``).

* 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. Early development is in progress in the
`altair_tiles <https://github.com/altair-viz/altair_tiles>`_ repository.

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:

* Support configurable pixel density in PNG image export *(VC)*.

* Support exporting charts to vector PDF files with embedded text *(VC)*.

.. toctree::
:maxdepth: 1
:caption: About
:hidden:

self
code_of_conduct
1 change: 1 addition & 0 deletions doc/getting_started/overview.rst
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installation
starting
getting_help
resources
project_philosophy
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.. _ecosystem:
.. _resources:

Resources
=========
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2 changes: 1 addition & 1 deletion doc/index.rst
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Expand Up @@ -59,8 +59,8 @@ Vega-Altair: Declarative Visualization in Python
User Guide <user_guide/data>
Examples <gallery/index>
API <user_guide/api>
user_guide/ecosystem
releases/changes
About <about/roadmap>

.. _GitHub: http://github.com/altair-viz/altair
.. _Git Issues: http://github.com/altair-viz/altair/issues
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