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Revision as of 09:38, 22 October 2022 edit undoMax clef (talk | contribs)30 edits Max clef moved page Draft:NumFOCUS to NumFOCUS: “I'm moving my sandbox article into Misplaced Pages.Tag: New redirectNext edit → |
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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) public charity organization in the United States. NumFOCUS was founded in 2012 by ], Jarrod Millman, Perry Greenfield, and ]. 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>. |
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In 2020 NumFocuse 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 NumFocuse, 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. |
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== List of fiscally sponsored projects by ''NumFOCUS'': == |
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{{Small|''Source''}}<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> |
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* 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> |
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* 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> |
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* 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> |
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* 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> |
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* 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> |
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* 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> |
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* rOpenSci - R software tools that lower barriers to working with scientific data sources on the web |
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* 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> |
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* 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> |
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* 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> |
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* 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> |
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* Zarr<ref>{{Cite web |title=Zarr |url=https://zarr.dev/ |access-date=2022-10-13 |website=Zarr |language=en}}</ref> |
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* 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> |
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* 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> |
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* 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> |
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* 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> |
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* 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> |
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* 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> |
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* 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> |
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* 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> |
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* 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> |
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* 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> |
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== References == |
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{{Reflist}} |
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{{Drafts moved from mainspace|date=October 2022}} |
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