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Revision as of 21:10, 13 November 2021 editAngusWOOF (talk | contribs)Extended confirmed users, New page reviewers, Pending changes reviewers, Rollbackers224,353 edits AngusWOOF moved page Draft:NumFOCUS to Draft:NumFocus: lower-case focus. focus is not an acronym← Previous edit Latest revision as of 02:49, 22 December 2024 edit undoGraeme Bartlett (talk | contribs)Administrators249,588 editsm minor changes to avert g13 after refund 
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{{AFC comment|1=Misplaced Pages has zero interest in any mission statements. ] (]) 16:45, 10 October 2023 (UTC)}}
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{{Infobox organization
| logo = NumFocus_LRG.png
| name = NumFOCUS
| type = ] organization
| motto = NumFOCUS promotes open practices in research, data, and scientific computing.
| established = {{start date and age|2012}}
| registration_id = 45-4547709
| founders = ], Jarrod Millman, Perry Greenfield, and ]
| board_of_directors = Sylvian Corlay, Logan Kilpatrick, Rosie Pongracz, James Powell, Katrina Riehl, and Stéfan van der Walt
| leader_name = Leah Silen
| leader_title = Executive Director
| homepage = {{url|https://numfocus.org/}}
}} }}

'''NumFOCUS''' ('''Numerical Foundation for Open Code and Useable Science''') was founded in 2012.<ref name=":1">{{Cite web |title=NumFOCUS History |url=https://numfocus.org/history |access-date=2022-10-13 |website=NumFOCUS |language=en-US}}</ref>, it is a ] public charity organization in the United States. NumFOCUS was founded in 2012 by ], Jarrod Millman, Perry Greenfield, and ]. Current Board of Directors consists of ''Sylvain Corlay, Logan Kilpatrick, Rosie Pongracz, James Powell, Katrina Riehl, and Stéfan van der Walt''.<ref>{{Cite web |title=People: The NumFOCUS Team |url=https://numfocus.org/community/people |access-date=2022-10-13 |website=NumFOCUS |language=en-US}}</ref> The organization is located in Austin TX, USA. <ref name=":1" /> The mission of NumFOCUS is to promote open practices in research, data, and scientific computing by serving as a fiscal sponsor for open source projects and organizing community-driven educational programs <ref>{{Cite web |title=PyData 2014 {{!}} New York {{!}} November 22 - 23 Numfocus |url=https://pydata.org/nyc2014/about/numfocus/ |access-date=2022-10-13 |website=pydata.org}}</ref><ref>{{Cite web |title=The NumFOCUS Mission |url=https://numfocus.org/community/mission |access-date=2023-10-10 |website=numfocus.org}}</ref>

In 2020 NumFocus partnered with IRIS (''Institute for Research on Innovation & Science'') and Duality Technologies to create a platform for privacy-preserving collaboration data analysis. <ref>{{Cite web |date=2020-08-04 |title=IRIS partners with Duality Technologies and NumFOCUS on privacy-protecting data analysis platform {{!}} IRIS |url=https://iris.isr.umich.edu/2020/08/04/iris-partners-with-duality-technologies-and-numfocus-on-privacy-protecting-data-analysis-platform/ |access-date=2022-10-22 |website=iris.isr.umich.edu |language=en-US}}</ref>. The PyData Yerevan 2022 was hosted in collaboration with NumFOCUS, the ] and the College of Science and Engineering of Armenia. The organization is involved in organizing educational programs, events, as well as supporting open source scientific computing projects through fiscal sponsorship.

== Educational Programs ==

The NumFOCUS organisation and project participate in a number of programs to incentivize contribution from students and encourage diversity in tech. Every year, NumFOCUS participate to Google Summer of code<ref>{{Cite web |title=Google Summer of Code |url=https://summerofcode.withgoogle.com/ |access-date=2023-10-10 |website=summerofcode.withgoogle.com |language=en}}</ref>, and Outreachy<ref>{{Cite web |title=Outreachy {{!}} Internships Supporting Diversity in Tech |url=https://www.outreachy.org/ |access-date=2023-10-10 |website=www.outreachy.org}}</ref>.

== List of fiscally sponsored projects by ''NumFOCUS'': ==
NumFOCUS assume legal and fiduciary responsibility for sponsored projects<ref>{{Cite web |title=Overview: NumFOCUS Projects |url=https://numfocus.org/projects-overview |access-date=2023-10-10 |website=NumFOCUS |language=en-US}}</ref><ref>{{Cite web |title=Sponsored Projects {{!}} pandas, NumPy, Matplotlib, Jupyter, + more |url=https://numfocus.org/sponsored-projects |access-date=2022-10-13 |website=NumFOCUS |language=en-US}}</ref>, but can opt-in to only stay affiliated in which case they only benefits from community funding, and promotion.

* ]
* ]
* ]
* ]
* ]
* ]
* nteract - open-source, desktop-based, interactive computing application<ref>{{Cite web |last=Abdalla |first=Safia |date=2016-09-28 |title=nteract: Revolutionizing the Notebook Experience |url=https://moderndata.plotly.com/nteract-revolutionizing-notebook-experience/ |access-date=2022-10-13 |website=Modern Data |language=en-US}}</ref>
* ]
* ]
* ]
* ]
* PyTables - a package for managing hierarchical datasets and designed to efficiently and easily cope with extremely large amounts of data<ref>{{Cite web |title=Welcome to PyTables’ documentation! — PyTables 3.7.0 documentation |url=https://www.pytables.org/ |access-date=2022-10-13 |website=www.pytables.org}}</ref>
* ]
* ]
* ]
* yt - an open-source, permissively-licensed python package for analyzing and visualizing volumetric data<ref>{{Cite web |title=The yt Project: Home |url=https://yt-project.org/ |access-date=2022-10-13 |website=yt-project.org}}</ref>
* Econ-ARK - open-source toolkits for researchers trying to understand how economic and social outcomes result from the actions of heterogeneous individuals<ref>{{Cite web |last=Econ-ARK |title=Home |url=https://econ-ark.org/ |access-date=2022-10-13 |website=Econ-ARK |language=en}}</ref>
* ]
* SunPy - Python Library for Solar Physics<ref>{{Cite journal |last=Christe |first=Steven |last2=Shih |first2=A. Y. |last3=Ireland |first3=J. |last4=Perez-Suarez |first4=D. |last5=Mumford |first5=S. |last6=Hughitt |first6=V. K. |last7=Hewett |first7=R. |last8=Mayer |first8=F. |last9=SunPy Dev Team |date=2013-07-01 |title=A Community Python Library for Solar Physics (SunPy) |url=https://ui.adsabs.harvard.edu/abs/2013SPD....44..136C|journal=harvard.edu |volume=44 |pages=100.136}}</ref>
* QuantEcon - a open source Python code library for economics<ref>{{Cite web |last=QuantEcon |title=QuantEcon.py |url=https://quantecon.org/quantecon-py/ |access-date=2022-10-13 |website=QuantEcon |language=en}}</ref>
* rOpenSci - R software tools that lower barriers to working with scientific data sources on the web
* ]
* ]
* Bokeh - data visualization library in Python that provides high-performance interactive charts and plots<ref>{{Cite web |date=2018-06-29 |title=Python - Data visualization using Bokeh |url=https://www.geeksforgeeks.org/python-data-visualization-using-bokeh/ |access-date=2022-10-13 |website=GeeksforGeeks |language=en-us}}</ref>
* conda-forge - a ] organization containing repositories of conda recipes<ref>{{Cite web |title=conda-forge {{!}} community driven packaging for conda |url=https://conda-forge.org/#about |access-date=2022-10-13 |website=conda-forge.org |language=en}}</ref>
* xarray - Python package for working with labelled multi-dimensional arrays<ref>{{Cite web |title=Xarray documentation |url=https://docs.xarray.dev/en/latest/index.html |access-date=2022-10-13 |website=docs.xarray.dev |language=en}}</ref>
* Blosc - Python wrapper for the high performance compressor<ref>{{Cite web |title=Overview - rpms/python-blosc - src.fedoraproject.org |url=https://src.fedoraproject.org/rpms/python-blosc |access-date=2022-10-13 |website=src.fedoraproject.org}}</ref>
* ]
* ]
* ]
* Zarr<ref>{{Cite web |title=Zarr |url=https://zarr.dev/ |access-date=2022-10-13 |website=Zarr |language=en}}</ref>
* MDAnalysis - a Python package for the rapid analysis of molecular dynamics simulations<ref>{{Cite web |title=MDAnalysis · MDAnalysis |url=https://www.mdanalysis.org/ |access-date=2022-10-13 |website=www.mdanalysis.org}}</ref>
* ]
* ITK - open source multi-dimensional image analysis in Python, R, Java, C#, Lua, Ruby, TCL and C++<ref>{{Cite web |title=SimpleITK - Home |url=https://simpleitk.org/ |access-date=2022-10-13 |website=simpleitk.org}}</ref>
* ]
* OpenMBEE - Open Model-Based Engineering Environments<ref>{{Cite web |last=Delp |first=Christopher |date=April 2, 2019 |title=Open Model-Based Engineering Environments |url=https://www.nist.gov/system/files/documents/2019/04/05/14_delp.pdf}}</ref>
* ]
* SciML - open source software for Scientific Machine Learning<ref>{{Cite web |title=SciML: Open Source Software for Scientific Machine Learning |url=https://sciml.ai/ |access-date=2022-10-13 |website=sciml.ai |language=en}}</ref>
* TARDIS - open source Python package that provides high level and developer friendly wrapper for more low level HTTP API with local file based caching build in<ref>{{Citation |title=tardis-client |date=2022-09-27 |url=https://github.com/tardis-dev/tardis-python |publisher=Tardis.dev |access-date=2022-10-13}}</ref>
* ArviZ - open source project aiming to provide tools for Exploratory Analysis of Bayesian Models that do not depend on the inference library used<ref>{{Cite web |title=ArviZ project |url=https://www.arviz.org/en/latest/# |access-date=2022-10-13 |website=www.arviz.org}}</ref>
* LFortran - open-source (BSD licensed) interactive Fortran compiler built on top of LLVM<ref>{{Cite web |title=LFortran |url=https://lfortran.org/ |access-date=2022-10-13 |website=LFortran |language=en}}</ref>
* ]
* ]
* sgkit - Python package that provides a variety of analytical genetics methods through the use of general-purpose frameworks such as Xarray, Pandas, Dask and Zarr<ref>{{Cite web |title=sgkit: Statistical genetics toolkit in Python |url=https://pystatgen.github.io/sgkit/latest/ |access-date=2022-10-13 |website=pystatgen.github.io}}</ref>
* NiBabel - package provides read +/- write access to some common medical and neuroimaging file formats<ref>{{Cite web |title=Neuroimaging in Python — NiBabel 4.0.0 documentation |url=https://nipy.org/nibabel/ |access-date=2022-10-13 |website=nipy.org}}</ref>
* napari - multi-dimensional image viewer for python<ref>{{Cite web |title=napari — napari |url=https://napari.org/stable/ |access-date=2022-10-13 |website=napari.org |language=en}}</ref>
* ]


== References ==
{{Reflist}}

]
]
]

{{Drafts moved from mainspace|date=October 2022}}

Latest revision as of 02:49, 22 December 2024

  • Comment: Misplaced Pages has zero interest in any mission statements. Theroadislong (talk) 16:45, 10 October 2023 (UTC)
NumFOCUS
Established2012; 12 years ago (2012)
FoundersFernando Perez, Jarrod Millman, Perry Greenfield, and Travis Oliphant
Type501(c)(3) organization
Registration no.45-4547709
Executive DirectorLeah Silen
Board of directorsSylvian Corlay, Logan Kilpatrick, Rosie Pongracz, James Powell, Katrina Riehl, and Stéfan van der Walt
Websitenumfocus.org

NumFOCUS (Numerical Foundation for Open Code and Useable Science) was founded in 2012., it is a 501(c)(3) public charity organization in the United States. NumFOCUS was founded in 2012 by Fernando Pérez, Jarrod Millman, Perry Greenfield, and Travis Oliphant. Current Board of Directors consists of Sylvain Corlay, Logan Kilpatrick, Rosie Pongracz, James Powell, Katrina Riehl, and Stéfan van der Walt. The organization is located in Austin TX, USA. The mission of NumFOCUS is to promote open practices in research, data, and scientific computing by serving as a fiscal sponsor for open source projects and organizing community-driven educational programs

In 2020 NumFocus partnered with IRIS (Institute for Research on Innovation & Science) and Duality Technologies to create a platform for privacy-preserving collaboration data analysis. . The PyData Yerevan 2022 was hosted in collaboration with NumFOCUS, the American University of Armenia and the College of Science and Engineering of Armenia. The organization is involved in organizing educational programs, events, as well as supporting open source scientific computing projects through fiscal sponsorship.

Educational Programs

The NumFOCUS organisation and project participate in a number of programs to incentivize contribution from students and encourage diversity in tech. Every year, NumFOCUS participate to Google Summer of code, and Outreachy.

List of fiscally sponsored projects by NumFOCUS:

NumFOCUS assume legal and fiduciary responsibility for sponsored projects, but can opt-in to only stay affiliated in which case they only benefits from community funding, and promotion.

  • Numpy
  • Matplotlib
  • Pandas
  • Project Jupyter
  • IPython
  • Scipy
  • nteract - open-source, desktop-based, interactive computing application
  • Stan
  • PyMC
  • Julia
  • JuMP
  • PyTables - a package for managing hierarchical datasets and designed to efficiently and easily cope with extremely large amounts of data
  • Shogun
  • SymPy
  • FEniCS Project
  • yt - an open-source, permissively-licensed python package for analyzing and visualizing volumetric data
  • Econ-ARK - open-source toolkits for researchers trying to understand how economic and social outcomes result from the actions of heterogeneous individuals
  • Astropy
  • SunPy - Python Library for Solar Physics
  • QuantEcon - a open source Python code library for economics
  • rOpenSci - R software tools that lower barriers to working with scientific data sources on the web
  • Open Journals
  • Cantera
  • Bokeh - data visualization library in Python that provides high-performance interactive charts and plots
  • conda-forge - a GitHub organization containing repositories of conda recipes
  • xarray - Python package for working with labelled multi-dimensional arrays
  • Blosc - Python wrapper for the high performance compressor
  • MathJax
  • Dask
  • mlpack
  • Zarr
  • MDAnalysis - a Python package for the rapid analysis of molecular dynamics simulations
  • scikit-image
  • ITK - open source multi-dimensional image analysis in Python, R, Java, C#, Lua, Ruby, TCL and C++
  • OpenFHE
  • OpenMBEE - Open Model-Based Engineering Environments
  • scikit-learn
  • SciML - open source software for Scientific Machine Learning
  • TARDIS - open source Python package that provides high level and developer friendly wrapper for more low level HTTP API with local file based caching build in
  • ArviZ - open source project aiming to provide tools for Exploratory Analysis of Bayesian Models that do not depend on the inference library used
  • LFortran - open-source (BSD licensed) interactive Fortran compiler built on top of LLVM
  • NetworkX
  • GDAL
  • sgkit - Python package that provides a variety of analytical genetics methods through the use of general-purpose frameworks such as Xarray, Pandas, Dask and Zarr
  • NiBabel - package provides read +/- write access to some common medical and neuroimaging file formats
  • napari - multi-dimensional image viewer for python
  • Scientific Python


References

  1. ^ "NumFOCUS History". NumFOCUS. Retrieved 2022-10-13.
  2. "People: The NumFOCUS Team". NumFOCUS. Retrieved 2022-10-13.
  3. "PyData 2014 | New York | November 22 - 23 Numfocus". pydata.org. Retrieved 2022-10-13.
  4. "The NumFOCUS Mission". numfocus.org. Retrieved 2023-10-10.
  5. "IRIS partners with Duality Technologies and NumFOCUS on privacy-protecting data analysis platform | IRIS". iris.isr.umich.edu. 2020-08-04. Retrieved 2022-10-22.
  6. "Google Summer of Code". summerofcode.withgoogle.com. Retrieved 2023-10-10.
  7. "Outreachy | Internships Supporting Diversity in Tech". www.outreachy.org. Retrieved 2023-10-10.
  8. "Overview: NumFOCUS Projects". NumFOCUS. Retrieved 2023-10-10.
  9. "Sponsored Projects | pandas, NumPy, Matplotlib, Jupyter, + more". NumFOCUS. Retrieved 2022-10-13.
  10. Abdalla, Safia (2016-09-28). "nteract: Revolutionizing the Notebook Experience". Modern Data. Retrieved 2022-10-13.
  11. "Welcome to PyTables' documentation! — PyTables 3.7.0 documentation". www.pytables.org. Retrieved 2022-10-13.
  12. "The yt Project: Home". yt-project.org. Retrieved 2022-10-13.
  13. Econ-ARK. "Home". Econ-ARK. Retrieved 2022-10-13.
  14. Christe, Steven; Shih, A. Y.; Ireland, J.; Perez-Suarez, D.; Mumford, S.; Hughitt, V. K.; Hewett, R.; Mayer, F.; SunPy Dev Team (2013-07-01). "A Community Python Library for Solar Physics (SunPy)". harvard.edu. 44: 100.136.
  15. QuantEcon. "QuantEcon.py". QuantEcon. Retrieved 2022-10-13.
  16. "Python - Data visualization using Bokeh". GeeksforGeeks. 2018-06-29. Retrieved 2022-10-13.
  17. "conda-forge | community driven packaging for conda". conda-forge.org. Retrieved 2022-10-13.
  18. "Xarray documentation". docs.xarray.dev. Retrieved 2022-10-13.
  19. "Overview - rpms/python-blosc - src.fedoraproject.org". src.fedoraproject.org. Retrieved 2022-10-13.
  20. "Zarr". Zarr. Retrieved 2022-10-13.
  21. "MDAnalysis · MDAnalysis". www.mdanalysis.org. Retrieved 2022-10-13.
  22. "SimpleITK - Home". simpleitk.org. Retrieved 2022-10-13.
  23. Delp, Christopher (April 2, 2019). "Open Model-Based Engineering Environments" (PDF).
  24. "SciML: Open Source Software for Scientific Machine Learning". sciml.ai. Retrieved 2022-10-13.
  25. tardis-client, Tardis.dev, 2022-09-27, retrieved 2022-10-13
  26. "ArviZ project". www.arviz.org. Retrieved 2022-10-13.
  27. "LFortran". LFortran. Retrieved 2022-10-13.
  28. "sgkit: Statistical genetics toolkit in Python". pystatgen.github.io. Retrieved 2022-10-13.
  29. "Neuroimaging in Python — NiBabel 4.0.0 documentation". nipy.org. Retrieved 2022-10-13.
  30. "napari — napari". napari.org. Retrieved 2022-10-13.

Category:501(c)(3) organizations Category:Non-profit organizations Category:Open Source computer aided engineering applications