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OMPC: an Open-Source MATLAB(®)-to-Python Compiler
Free access to scientific information facilitates scientific progress. Open-access scientific journals are a first step in this direction; a further step is to make auxiliary and supplementary materials that accompany scientific publications, such as methodological procedures and data-analysis tools...
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Formato: | Texto |
Lenguaje: | English |
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Frontiers Research Foundation
2009
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2644618/ https://www.ncbi.nlm.nih.gov/pubmed/19225577 http://dx.doi.org/10.3389/neuro.11.005.2009 |
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author | Jurica, Peter van Leeuwen, Cees |
author_facet | Jurica, Peter van Leeuwen, Cees |
author_sort | Jurica, Peter |
collection | PubMed |
description | Free access to scientific information facilitates scientific progress. Open-access scientific journals are a first step in this direction; a further step is to make auxiliary and supplementary materials that accompany scientific publications, such as methodological procedures and data-analysis tools, open and accessible to the scientific community. To this purpose it is instrumental to establish a software base, which will grow toward a comprehensive free and open-source language of technical and scientific computing. Endeavors in this direction are met with an important obstacle. MATLAB(®), the predominant computation tool in many fields of research, is a closed-source commercial product. To facilitate the transition to an open computation platform, we propose Open-source MATLAB(®)-to-Python Compiler (OMPC), a platform that uses syntax adaptation and emulation to allow transparent import of existing MATLAB(®) functions into Python programs. The imported MATLAB(®) modules will run independently of MATLAB(®), relying on Python's numerical and scientific libraries. Python offers a stable and mature open source platform that, in many respects, surpasses commonly used, expensive commercial closed source packages. The proposed software will therefore facilitate the transparent transition towards a free and general open-source lingua franca for scientific computation, while enabling access to the existing methods and algorithms of technical computing already available in MATLAB(®). OMPC is available at http://ompc.juricap.com. |
format | Text |
id | pubmed-2644618 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2009 |
publisher | Frontiers Research Foundation |
record_format | MEDLINE/PubMed |
spelling | pubmed-26446182009-02-18 OMPC: an Open-Source MATLAB(®)-to-Python Compiler Jurica, Peter van Leeuwen, Cees Front Neuroinformatics Neuroscience Free access to scientific information facilitates scientific progress. Open-access scientific journals are a first step in this direction; a further step is to make auxiliary and supplementary materials that accompany scientific publications, such as methodological procedures and data-analysis tools, open and accessible to the scientific community. To this purpose it is instrumental to establish a software base, which will grow toward a comprehensive free and open-source language of technical and scientific computing. Endeavors in this direction are met with an important obstacle. MATLAB(®), the predominant computation tool in many fields of research, is a closed-source commercial product. To facilitate the transition to an open computation platform, we propose Open-source MATLAB(®)-to-Python Compiler (OMPC), a platform that uses syntax adaptation and emulation to allow transparent import of existing MATLAB(®) functions into Python programs. The imported MATLAB(®) modules will run independently of MATLAB(®), relying on Python's numerical and scientific libraries. Python offers a stable and mature open source platform that, in many respects, surpasses commonly used, expensive commercial closed source packages. The proposed software will therefore facilitate the transparent transition towards a free and general open-source lingua franca for scientific computation, while enabling access to the existing methods and algorithms of technical computing already available in MATLAB(®). OMPC is available at http://ompc.juricap.com. Frontiers Research Foundation 2009-02-10 /pmc/articles/PMC2644618/ /pubmed/19225577 http://dx.doi.org/10.3389/neuro.11.005.2009 Text en Copyright © 2009 Jurica and van Leeuwen. http://www.frontiersin.org/licenseagreement This is an open-access article subject to an exclusive license agreement between the authors and the Frontiers Research Foundation, which permits unrestricted use, distribution, and reproduction in any medium, provided the original authors and source are credited. |
spellingShingle | Neuroscience Jurica, Peter van Leeuwen, Cees OMPC: an Open-Source MATLAB(®)-to-Python Compiler |
title | OMPC: an Open-Source MATLAB(®)-to-Python Compiler |
title_full | OMPC: an Open-Source MATLAB(®)-to-Python Compiler |
title_fullStr | OMPC: an Open-Source MATLAB(®)-to-Python Compiler |
title_full_unstemmed | OMPC: an Open-Source MATLAB(®)-to-Python Compiler |
title_short | OMPC: an Open-Source MATLAB(®)-to-Python Compiler |
title_sort | ompc: an open-source matlab(®)-to-python compiler |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2644618/ https://www.ncbi.nlm.nih.gov/pubmed/19225577 http://dx.doi.org/10.3389/neuro.11.005.2009 |
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