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| align="center" | [https://github.com/google/googletest googletest] | | align="center" | [https://github.com/google/googletest googletest] | ||
| align="center" | tools | | align="center" | tools | ||
| align="center" | 1.8.0, 1.10.0 | | align="center" | 1.8.0, 1.10.0, 1.13.0 | ||
| <div class="mw-collapsible mw-collapsed" style="white-space: pre-line;"><br />Description: Welcome to Google Test, Google-s C++ test framework! Please see the project page for more information as well as the mailing list for questions, discussions, and development. There is also an IRC channel on OFTC. Getting started information for Google Test is available in the Google Test Primer documentation. Google Mock is an extension to Google Test for writing and using C++ mock classes. See the separate Google Mock documentation. More detailed documentation for googletest (including build instructions) are in its interior googletest/README.md file. Homepage: https://github.com/google/googletest URL: https://github.com/google/googletest Keyword:tools<br /><br /><br /></div> | | <div class="mw-collapsible mw-collapsed" style="white-space: pre-line;"><br />Description: Welcome to Google Test, Google-s C++ test framework! Please see the project page for more information as well as the mailing list for questions, discussions, and development. There is also an IRC channel on OFTC. Getting started information for Google Test is available in the Google Test Primer documentation. Google Mock is an extension to Google Test for writing and using C++ mock classes. See the separate Google Mock documentation. More detailed documentation for googletest (including build instructions) are in its interior googletest/README.md file. Homepage: https://github.com/google/googletest URL: https://github.com/google/googletest Keyword:tools<br /><br /><br /></div> | ||
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| align="center" | math | | align="center" | math | ||
| align="center" | 0.7.1, 0.8.2, 0.9.10, 0.10.2 | | align="center" | 0.7.1, 0.8.2, 0.9.10, 0.10.2 | ||
| <div class="mw-collapsible mw-collapsed" style="white-space: pre-line;"><br />Description: igraph is a collection of network analysis tools with the emphasis on efficiency, portability and ease of use. igraph is open source and free. igraph can be programmed in R, Python and C/C++. Homepage: https://igraph.org URL: https://igraph.org Compatible modules: python/3.8, python/3.9, python/3.10, python/3.11 Extensions: python-igraph-0.10 | | <div class="mw-collapsible mw-collapsed" style="white-space: pre-line;"><br />Description: igraph is a collection of network analysis tools with the emphasis on efficiency, portability and ease of use. igraph is open source and free. igraph can be programmed in R, Python and C/C++. Homepage: https://igraph.org URL: https://igraph.org Compatible modules: python/3.8, python/3.9, python/3.10, python/3.11 Extensions: python-igraph-0.9.10 Keyword:math<br /><br /><br /></div> | ||
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| align="center" | [https://www.broadinstitute.org/software/igv/ igv] | | align="center" | [https://www.broadinstitute.org/software/igv/ igv] | ||
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| align="center" | [https://repast.github.io/ repasthpc] | | align="center" | [https://repast.github.io/ repasthpc] | ||
| align="center" | bio | | align="center" | bio | ||
| align="center" | 2.2.0, 2.3.0 | | align="center" | 2.0, 2.2.0, 2.3.0 | ||
| <div class="mw-collapsible mw-collapsed" style="white-space: pre-line;"><br />Description: The Repast Suite is a family of advanced, free, and open source agent-based modeling and simulation platforms that have collectively been under continuous development for over 15 years: Repast for High Performance Computing 2.2.0, released on 30 September 2016, is a lean and expert-focused C++-based modeling system that is designed for use on large computing clusters and supercomputers. Homepage: https://repast.github.io/ URL: https://repast.github.io/ Keyword:bio<br /><br /><br /></div> | | <div class="mw-collapsible mw-collapsed" style="white-space: pre-line;"><br />Description: The Repast Suite is a family of advanced, free, and open source agent-based modeling and simulation platforms that have collectively been under continuous development for over 15 years: Repast for High Performance Computing 2.2.0, released on 30 September 2016, is a lean and expert-focused C++-based modeling system that is designed for use on large computing clusters and supercomputers. Homepage: https://repast.github.io/ URL: https://repast.github.io/ Keyword:bio<br /><br /><br /></div> | ||
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| align="center" | chem | | align="center" | chem | ||
| align="center" | 6.3.0, 6.3.3, 6.4.0, 6.4.1, 6.5.0, 6.5.1 | | align="center" | 6.3.0, 6.3.3, 6.4.0, 6.4.1, 6.5.0, 6.5.1 | ||
| <div class="mw-collapsible mw-collapsed" style="white-space: pre-line;"><br />Description: xtb - Extended tight-binding semi-empirical quantum mechanics Homepage: https://github.com/grimme-lab/xtb URL: https://github.com/grimme-lab/xtb Compatible modules: python/3.8, python/3.9, python/3.10 Extensions: ase-3.22.1, Pint-0.19.2, pydantic-1.9.1, qcelemental-0.24.0, xtb-6.5. | | <div class="mw-collapsible mw-collapsed" style="white-space: pre-line;"><br />Description: xtb - Extended tight-binding semi-empirical quantum mechanics Homepage: https://github.com/grimme-lab/xtb URL: https://github.com/grimme-lab/xtb Compatible modules: python/3.8, python/3.9, python/3.10 Extensions: ase-3.22.1, Pint-0.19.2, pydantic-1.9.1, qcelemental-0.24.0, xtb-6.5.0 Keyword:chem<br /><br /><br /></div> | ||
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| align="center" | [https://github.com/xtensor-stack/xtensor xtensor] | | align="center" | [https://github.com/xtensor-stack/xtensor xtensor] | ||