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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 501(c)(3) nonprofit that supports and promotes, innovative, open source scientific computing. NumFOCUS was founded in 2012 by ], Jarrod Millman, Perry Greenfield, and ].{{cn}} Current Board of Directors consists of ''Sylvian 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 purpose of NumFOCUS is to promote the use of accessible and reproducible computing in science and technology<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>. NumFocus is involved in organizing educational programs, events, as well as supporting open source scientific computing projects through fiscal sponsorship. 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 501(c)(3) nonprofit that supports and promotes, innovative, open source scientific computing. NumFOCUS was founded in 2012 by ], Jarrod Millman, Perry Greenfield, and ].{{cn|date=October 2022}} Current Board of Directors consists of ''Sylvian 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 purpose of NumFOCUS is to promote the use of accessible and reproducible computing in science and technology<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>. NumFocus is involved in organizing educational programs, events, as well as supporting open source scientific computing projects through fiscal sponsorship.


=== Company Mission === === Company Mission ===

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NumFOCUS (Numerical Foundation for Open Code and Useable Science) was founded in 2012, it is a 501(c)(3) nonprofit that supports and promotes, innovative, open source scientific computing. NumFOCUS was founded in 2012 by Fernando Perez, Jarrod Millman, Perry Greenfield, and Travis Oliphant. Current Board of Directors consists of Sylvian Corlay, Logan Kilpatrick, Rosie Pongracz, James Powell, Katrina Riehl, and Stéfan van der Walt. The organization is located in Austin TX, USA. The purpose of NumFOCUS is to promote the use of accessible and reproducible computing in science and technology. NumFocus is involved in organizing educational programs, events, as well as supporting open source scientific computing projects through fiscal sponsorship.

Company Mission

Source

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.

NumFOCUS is a 501(c)(3) public charity in the United States.

Company Vision

Source

NumFOCUS envisions an inclusive scientific and research community that utilizes actively supported open source software to make impactful discoveries for a better world.

List of fiscally sponsored projects by NumFOCUS:

Source

  • 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. ^ "Mission of NumFOCUS". NumFOCUS. Retrieved 2022-10-13.
  5. "Sponsored Projects | pandas, NumPy, Matplotlib, Jupyter, + more". NumFOCUS. Retrieved 2022-10-13.
  6. Abdalla, Safia (2016-09-28). "nteract: Revolutionizing the Notebook Experience". Modern Data. Retrieved 2022-10-13.
  7. "Welcome to PyTables' documentation! — PyTables 3.7.0 documentation". www.pytables.org. Retrieved 2022-10-13.
  8. "The yt Project: Home". yt-project.org. Retrieved 2022-10-13.
  9. Econ-ARK. "Home". Econ-ARK. Retrieved 2022-10-13.
  10. 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.
  11. QuantEcon. "QuantEcon.py". QuantEcon. Retrieved 2022-10-13.
  12. "Python - Data visualization using Bokeh". GeeksforGeeks. 2018-06-29. Retrieved 2022-10-13.
  13. "conda-forge | community driven packaging for conda". conda-forge.org. Retrieved 2022-10-13.
  14. "Xarray documentation". docs.xarray.dev. Retrieved 2022-10-13.
  15. "Overview - rpms/python-blosc - src.fedoraproject.org". src.fedoraproject.org. Retrieved 2022-10-13.
  16. "Zarr". Zarr. Retrieved 2022-10-13.
  17. "MDAnalysis · MDAnalysis". www.mdanalysis.org. Retrieved 2022-10-13.
  18. "SimpleITK - Home". simpleitk.org. Retrieved 2022-10-13.
  19. Delp, Christopher (April 2, 2019). "Open Model-Based Engineering Environments" (PDF).
  20. "SciML: Open Source Software for Scientific Machine Learning". sciml.ai. Retrieved 2022-10-13.
  21. tardis-client, Tardis.dev, 2022-09-27, retrieved 2022-10-13
  22. "ArviZ project". www.arviz.org. Retrieved 2022-10-13.
  23. "LFortran". LFortran. Retrieved 2022-10-13.
  24. "sgkit: Statistical genetics toolkit in Python". pystatgen.github.io. Retrieved 2022-10-13.
  25. "Neuroimaging in Python — NiBabel 4.0.0 documentation". nipy.org. Retrieved 2022-10-13.
  26. "napari — napari". napari.org. Retrieved 2022-10-13.
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