.. _about:

========
About us
========

History
=======

This project was started in 2007 as a Google Summer of Code project by
David Cournapeau. Later that year, Matthieu Brucher started working on this project
as part of his thesis.

In 2010 Fabian Pedregosa, Gael Varoquaux, Alexandre Gramfort and Vincent
Michel of INRIA took leadership of the project and made the first public
release, February the 1st 2010. Since then, several releases have appeared
following an approximately 3-month cycle, and a thriving international
community has been leading the development. As a result, INRIA holds the
copyright over the work done by people who were employed by INRIA at the
time of the contribution.

Governance
==========

The decision making process and governance structure of scikit-learn, like roles and responsibilities, is laid out in the :ref:`governance document <governance>`.

.. The "author" anchors below is there to ensure that old html links (in
   the form of "about.html#author" still work)

.. _authors:

The people behind scikit-learn
==============================

scikit-learn is a community project, developed by a large group of
people, all across the world. A few core contributor teams, listed below, have
central roles, however a more complete list of contributors can be found `on
GitHub
<https://github.com/scikit-learn/scikit-learn/graphs/contributors>`__.

Active Core Contributors
------------------------

Maintainers Team
................

The following people are currently maintainers, in charge of
consolidating scikit-learn's development and maintenance:

.. include:: maintainers.rst

.. note::

  Please do not email the authors directly to ask for assistance or report issues.
  Instead, please see `What's the best way to ask questions about scikit-learn
  <https://scikit-learn.org/stable/faq.html#what-s-the-best-way-to-get-help-on-scikit-learn-usage>`_
  in the FAQ.

.. seealso::

  How you can :ref:`contribute to the project <contributing>`.

Documentation Team
..................

The following people help with documenting the project:

.. include:: documentation_team.rst

Contributor Experience Team
...........................

The following people are active contributors who also help with
:ref:`triaging issues <bug_triaging>`, PRs, and general
maintenance:

.. include:: contributor_experience_team.rst

Communication Team
..................

The following people help with :ref:`communication around scikit-learn
<communication_team>`.

.. include:: communication_team.rst

Emeritus Core Contributors
--------------------------

Emeritus Maintainers Team
.........................

The following people have been active contributors in the past, but are no
longer active in the project:

.. rst-class:: grid-list-three-columns
.. include:: maintainers_emeritus.rst

Emeritus Communication Team
...........................

The following people have been active in the communication team in the
past, but no longer have communication responsibilities:

.. include:: communication_team_emeritus.rst

Emeritus Contributor Experience Team
....................................

The following people have been active in the contributor experience team in the
past:

.. include:: contributor_experience_team_emeritus.rst

.. _citing-scikit-learn:

Citing scikit-learn
===================

If you use scikit-learn in a scientific publication, we would appreciate
citations to the following paper:

`Scikit-learn: Machine Learning in Python
<https://jmlr.csail.mit.edu/papers/v12/pedregosa11a.html>`_, Pedregosa
*et al.*, JMLR 12, pp. 2825-2830, 2011.

Bibtex entry::

  @article{scikit-learn,
    title={Scikit-learn: Machine Learning in {P}ython},
    author={Pedregosa, F. and Varoquaux, G. and Gramfort, A. and Michel, V.
            and Thirion, B. and Grisel, O. and Blondel, M. and Prettenhofer, P.
            and Weiss, R. and Dubourg, V. and Vanderplas, J. and Passos, A. and
            Cournapeau, D. and Brucher, M. and Perrot, M. and Duchesnay, E.},
    journal={Journal of Machine Learning Research},
    volume={12},
    pages={2825--2830},
    year={2011}
  }

If you want to cite scikit-learn for its API or design, you may also want to consider the
following paper:

:arxiv:`API design for machine learning software: experiences from the scikit-learn
project <1309.0238>`, Buitinck *et al.*, 2013.

Bibtex entry::

  @inproceedings{sklearn_api,
    author    = {Lars Buitinck and Gilles Louppe and Mathieu Blondel and
                  Fabian Pedregosa and Andreas Mueller and Olivier Grisel and
                  Vlad Niculae and Peter Prettenhofer and Alexandre Gramfort
                  and Jaques Grobler and Robert Layton and Jake VanderPlas and
                  Arnaud Joly and Brian Holt and Ga{\"{e}}l Varoquaux},
    title     = {{API} design for machine learning software: experiences from the scikit-learn
                  project},
    booktitle = {ECML PKDD Workshop: Languages for Data Mining and Machine Learning},
    year      = {2013},
    pages = {108--122},
  }

Branding & Logos
================

High quality PNG and SVG logos are available in the `doc/logos
<https://github.com/scikit-learn/scikit-learn/tree/main/doc/logos>`_
source directory. The color palette is available in the
`Branding Guide <https://github.com/scikit-learn/blog?tab=readme-ov-file#brand-standards>`_.

.. image:: images/scikit-learn-logo-notext.png
  :align: center

Funding
=======

Scikit-learn is a community driven project, however institutional and private
grants help to assure its sustainability.

The project would like to thank the following funders.

...................................

.. div:: sk-text-image-grid-small

  .. div:: text-box

    `:probabl. <https://probabl.ai>`_ manages the whole sponsorship program
    and employs the full-time core maintainers Adrin Jalali, Arturo Amor,
    François Goupil, Guillaume Lemaitre, Jérémie du Boisberranger, Loïc Estève,
    Olivier Grisel, and Stefanie Senger.

  .. div:: image-box

    .. image:: images/probabl.png
      :target: https://probabl.ai
      :width: 40%

..........

Active Sponsors
===============

Founding sponsors
-----------------

.. div:: sk-text-image-grid-small

  .. div:: text-box

    `Inria <https://www.inria.fr>`_ supports scikit-learn through their
    sponsorship.

  .. div:: image-box

    .. image:: images/inria-logo.jpg
      :target: https://www.inria.fr

..........

Gold sponsors
-------------

.. div:: sk-text-image-grid-small

  .. div:: text-box

    `Chanel <https://www.chanel.com>`_ supports scikit-learn through their
    sponsorship.

  .. div:: image-box

    .. image:: images/chanel.png
      :target: https://www.chanel.com

..........

Silver sponsors
---------------

.. div:: sk-text-image-grid-small

  .. div:: text-box

    `BNP Paribas Group <https://group.bnpparibas/>`_ supports scikit-learn
    through their sponsorship.

  .. div:: image-box

    .. image:: images/bnp-paribas.jpg
      :target: https://group.bnpparibas/

..........

Bronze sponsors
---------------

.. div:: sk-text-image-grid-small

  .. div:: text-box

    `NVIDIA <https://nvidia.com>`_ supports scikit-learn through their sponsorship and employs full-time core maintainer Tim Head. 

  .. div:: image-box

    .. image:: images/nvidia.png
      :target: https://nvidia.com

..........

Other contributions
-------------------

.. |chanel| image:: images/chanel.png
  :target: https://www.chanel.com

.. |axa| image:: images/axa.png
  :target: https://www.axa.fr/

.. |bnp| image:: images/bnp.png
  :target: https://www.bnpparibascardif.com/

.. |bnpparibasgroup| image:: images/bnp-paribas.jpg
  :target: https://group.bnpparibas/

.. |dataiku| image:: images/dataiku.png
  :target: https://www.dataiku.com/

.. |nvidia| image:: images/nvidia.png
  :target: https://www.nvidia.com

.. |inria| image:: images/inria-logo.jpg
  :target: https://www.inria.fr

.. raw:: html

  <style>
    table.image-subtable tr {
      border-color: transparent;
    }

    table.image-subtable td {
      width: 50%;
      vertical-align: middle;
      text-align: center;
    }

    table.image-subtable td img {
      max-height: 40px !important;
      max-width: 90% !important;
    }
  </style>


* `Microsoft <https://microsoft.com/>`_ funds Andreas Müller since 2020.


* `Quansight Labs <https://labs.quansight.org>`_ funds Lucy Liu since 2022.

* `The Chan-Zuckerberg Initiative <https://chanzuckerberg.com/>`_ and
  `Wellcome Trust <https://wellcome.org/>`_ fund scikit-learn through the
  `Essential Open Source Software for Science (EOSS) <https://chanzuckerberg.com/eoss/>`_
  cycle 6.

  It supports Lucy Liu and diversity & inclusion initiatives that will
  be announced in the future.

* `Tidelift <https://tidelift.com/>`_ supports the project via their service
  agreement.

Past Sponsors
=============

`Quansight Labs <https://labs.quansight.org>`_ funded Meekail Zain in 2022 and 2023,
and funded Thomas J. Fan from 2021 to 2023.

`Columbia University <https://columbia.edu/>`_ funded Andreas Müller
(2016-2020).

`The University of Sydney <https://sydney.edu.au/>`_ funded Joel Nothman
(2017-2021).

Andreas Müller received a grant to improve scikit-learn from the
`Alfred P. Sloan Foundation <https://sloan.org>`_ .
This grant supported the position of Nicolas Hug and Thomas J. Fan.

`INRIA <https://www.inria.fr>`_ has provided funding for Fabian Pedregosa
(2010-2012), Jaques Grobler (2012-2013) and Olivier Grisel (2013-2017) to
work on this project full-time. It also hosts coding sprints and other events.

`Paris-Saclay Center for Data Science <http://www.datascience-paris-saclay.fr/>`_
funded one year for a developer to work on the project full-time (2014-2015), 50%
of the time of Guillaume Lemaitre (2016-2017) and 50% of the time of Joris van den
Bossche (2017-2018).

`NYU Moore-Sloan Data Science Environment <https://cds.nyu.edu/mooresloan/>`_
funded Andreas Mueller (2014-2016) to work on this project. The Moore-Sloan
Data Science Environment also funds several students to work on the project
part-time.

`Télécom Paristech <https://www.telecom-paristech.fr/>`_ funded Manoj Kumar
(2014), Tom Dupré la Tour (2015), Raghav RV (2015-2017), Thierry Guillemot
(2016-2017) and Albert Thomas (2017) to work on scikit-learn.

`The Labex DigiCosme <https://digicosme.lri.fr>`_ funded Nicolas Goix
(2015-2016), Tom Dupré la Tour (2015-2016 and 2017-2018), Mathurin Massias
(2018-2019) to work part time on scikit-learn during their PhDs. It also
funded a scikit-learn coding sprint in 2015.

`The Chan-Zuckerberg Initiative <https://chanzuckerberg.com/>`_ funded Nicolas
Hug to work full-time on scikit-learn in 2020.

The following students were sponsored by `Google
<https://opensource.google/>`_ to work on scikit-learn through
the `Google Summer of Code <https://en.wikipedia.org/wiki/Google_Summer_of_Code>`_
program.

- 2007 - David Cournapeau
- 2011 - `Vlad Niculae`_
- 2012 - `Vlad Niculae`_, Immanuel Bayer
- 2013 - Kemal Eren, Nicolas Trésegnie
- 2014 - Hamzeh Alsalhi, Issam Laradji, Maheshakya Wijewardena, Manoj Kumar
- 2015 - `Raghav RV <https://github.com/raghavrv>`_, Wei Xue
- 2016 - `Nelson Liu <http://nelsonliu.me>`_, `YenChen Lin <https://yenchenlin.me/>`_

.. _Vlad Niculae: https://vene.ro/

...................

The `NeuroDebian <http://neuro.debian.net>`_ project providing `Debian
<https://www.debian.org/>`_ packaging and contributions is supported by
`Dr. James V. Haxby <http://haxbylab.dartmouth.edu/>`_ (`Dartmouth
College <https://pbs.dartmouth.edu/>`_).

...................

The following organizations funded the scikit-learn consortium at Inria in
the past:

.. |msn| image:: images/microsoft.png
  :target: https://www.microsoft.com/

.. |bcg| image:: images/bcg.png
  :target: https://www.bcg.com/beyond-consulting/bcg-gamma/default.aspx

.. |fujitsu| image:: images/fujitsu.png
  :target: https://www.fujitsu.com/global/

.. |aphp| image:: images/logo_APHP_text.png
  :target: https://aphp.fr/

.. |hf| image:: images/huggingface_logo-noborder.png
  :target: https://huggingface.co

.. raw:: html

  <style>
    div.image-subgrid img {
      max-height: 50px;
      max-width: 90%;
    }
  </style>

.. grid:: 2 2 4 4
  :class-row: image-subgrid
  :gutter: 1

  .. grid-item::
    :class: sd-text-center
    :child-align: center

    |msn|

  .. grid-item::
    :class: sd-text-center
    :child-align: center

    |bcg|

  .. grid-item::
    :class: sd-text-center
    :child-align: center

    |fujitsu|

  .. grid-item::
    :class: sd-text-center
    :child-align: center

    |aphp|

  .. grid-item::
    :class: sd-text-center
    :child-align: center

    |hf|

  .. grid-item::
    :class: sd-text-center
    :child-align: center

    |dataiku|

  .. grid-item::
    :class: sd-text-center
    :child-align: center

    |bnp|

  .. grid-item::
    :class: sd-text-center
    :child-align: center

    |axa|


Donations in Kind
-----------------
The following organizations provide non-financial contributions to the
scikit-learn project.

.. raw:: html

  <table cellspacing="0" cellpadding="8">
    <thead>
      <tr>
        <th>Company</th>
        <th>Contribution</th>
      </tr>
    </thead>
    <tbody>
          <tr>
        <td><a href="https://www.anaconda.com">Anaconda Inc</a></td>
        <td>Storage for our staging and nightly builds</td>
      </tr>
      <tr>
        <td><a href="https://circleci.com/">CircleCI</a></td>
        <td>CPU time on their Continuous Integration servers</td>
      </tr>
      <tr>
        <td><a href="https://www.github.com">GitHub</a></td>
        <td>Teams account</td>
      </tr>
      <tr>
        <td><a href="https://azure.microsoft.com/en-us/">Microsoft Azure</a></td>
        <td>CPU time on their Continuous Integration servers</td>
      </tr>
    </tbody>
  </table>

Coding Sprints
--------------

The scikit-learn project has a long history of `open source coding sprints
<https://blog.scikit-learn.org/events/sprints-value/>`_ with over 50 sprint
events from 2010 to present day. There are scores of sponsors who contributed
to costs which include venue, food, travel, developer time and more. See
`scikit-learn sprints <https://blog.scikit-learn.org/sprints/>`_ for a full
list of events.

Donating to the project
=======================

If you have found scikit-learn to be useful in your work, research, or company, 
please consider making a donation to the project commensurate with your resources.
There are several options for making donations:

.. raw:: html

  <p class="text-center">
    <a class="btn sk-btn-orange mb-1" href="https://numfocus.org/donate-to-scikit-learn">
      Donate via NumFOCUS
    </a>
    <a class="btn sk-btn-orange mb-1" href="https://github.com/sponsors/scikit-learn">
      Donate via GitHub Sponsors
    </a>
    <a class="btn sk-btn-orange mb-1" href="https://causes.benevity.org/projects/433725">
      Donate via Benevity
    </a>
  </p>

**Donation Options:**

* **NumFOCUS**: Donate via the `NumFOCUS Donations Page
  <https://numfocus.org/donate-to-scikit-learn>`_, scikit-learn's fiscal sponsor.

* **GitHub Sponsors**: Support the project directly through `GitHub Sponsors
  <https://github.com/sponsors/scikit-learn>`_.

* **Benevity**: If your company uses scikit-learn, you can also support the
  project through Benevity, a platform to manage employee donations. It is
  widely used by hundreds of Fortune 1000 companies to streamline and scale
  their social impact initiatives. If your company uses Benevity, you are
  able to make a donation with a company match as high as 100%. Our project
  ID is `433725 <https://causes.benevity.org/projects/433725>`_.

All donations are managed by `NumFOCUS <https://numfocus.org/>`_, a 501(c)(3) 
non-profit organization based in Austin, Texas, USA. The NumFOCUS board
consists of `SciPy community members <https://numfocus.org/board.html>`_. 
Contributions are tax-deductible to the extent allowed by law.

.. rubric:: Notes

Contributions support the maintenance of the project, including development, 
documentation, infrastructure and coding sprints. 


scikit-learn Swag
-----------------
Official scikit-learn swag is available for purchase at the `NumFOCUS online store
<https://numfocus.myspreadshop.com/scikit-learn+logo?idea=6335cad48f3f5268f5f42559>`_.
A portion of the proceeds from each sale goes to support the scikit-learn project.


