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| align="center" | 1.0.1 | | align="center" | 1.0.1 | ||
| <div class="mw-collapsible mw-collapsed" style="white-space: pre-line;"><br />Description: Flatiron Institute Fast Multipole Libraries: a set of libraries to compute N-body interactions governed by the Laplace and Helmholtz equations, to a specified precision, in three dimensions, on a multi-core shared-memory machine. Homepage: https://fmm3d.readthedocs.io URL: https://fmm3d.readthedocs.io Compatible modules: python/3.8, python/3.9, python/3.10<br /><br /><br /></div> | | <div class="mw-collapsible mw-collapsed" style="white-space: pre-line;"><br />Description: Flatiron Institute Fast Multipole Libraries: a set of libraries to compute N-body interactions governed by the Laplace and Helmholtz equations, to a specified precision, in three dimensions, on a multi-core shared-memory machine. Homepage: https://fmm3d.readthedocs.io URL: https://fmm3d.readthedocs.io Compatible modules: python/3.8, python/3.9, python/3.10<br /><br /><br /></div> | ||
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| align="center" | [https://fmriprep.org/ fmriprep] | |||
| align="center" | - | |||
| align="center" | 23.0.2, 23.1.3 | |||
| <div class="mw-collapsible mw-collapsed" style="white-space: pre-line;"><br />Description: fMRIPrep is a NiPreps (NeuroImaging PREProcessing toolS) application (www.nipreps.org) for the preprocessing of task-based and resting-state functional MRI (fMRI). Homepage: https://fmriprep.org/ URL: https://fmriprep.org/<br /><br /><br /></div> | |||
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| align="center" | [http://fmtlib.net/ fmt] | | align="center" | [http://fmtlib.net/ fmt] | ||
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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-6.5.1 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] |