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| align="center" | [https://arrow.apache.org arrow] | | align="center" | [https://arrow.apache.org arrow] | ||
| align="center" | tools | | align="center" | tools | ||
| align="center" | 0.11.1, 0.15.1, 0.16.0, 0.17.1, 2.0.0, 4.0.0, 5.0.0, 7.0.0, 8.0.0, 9.0.0, 10.0.1, 11.0.0, 12.0.1, 13.0.0 | | align="center" | 0.11.1, 0.15.1, 0.16.0, 0.17.1, 1.0.0, 2.0.0, 4.0.0, 5.0.0, 7.0.0, 8.0.0, 9.0.0, 10.0.1, 11.0.0, 12.0.1, 13.0.0 | ||
| <div class="mw-collapsible mw-collapsed" style="white-space: pre-line;"><br />Description: Apache Arrow is a cross-language development platform for in-memory data. Homepage: https://arrow.apache.org URL: https://arrow.apache.org Compatible modules: python/3.6.3, python/3.7.4, python/3.8.0 Keyword:tools<br /><br /><br /></div> | | <div class="mw-collapsible mw-collapsed" style="white-space: pre-line;"><br />Description: Apache Arrow is a cross-language development platform for in-memory data. Homepage: https://arrow.apache.org URL: https://arrow.apache.org Compatible modules: python/3.6.3, python/3.7.4, python/3.8.0 Keyword:tools<br /><br /><br /></div> | ||
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| align="center" | 3.14 | | align="center" | 3.14 | ||
| <div class="mw-collapsible mw-collapsed" style="white-space: pre-line;"><br />Description: The graph partitioning framework KaHIP -- Karlsruhe High Quality Partitioning. Homepage: https://kahip.github.io/ URL: https://kahip.github.io/<br /><br /><br /></div> | | <div class="mw-collapsible mw-collapsed" style="white-space: pre-line;"><br />Description: The graph partitioning framework KaHIP -- Karlsruhe High Quality Partitioning. Homepage: https://kahip.github.io/ URL: https://kahip.github.io/<br /><br /><br /></div> | ||
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| align="center" | [https://kahypar.org/ kahypar] | |||
| align="center" | - | |||
| align="center" | 1.3.2 | |||
| <div class="mw-collapsible mw-collapsed" style="white-space: pre-line;"><br />Description: KaHyPar is a multilevel hypergraph partitioning framework providing direct k-way and recursive bisection based partitioning algorithms that compute solutions of very high quality. Homepage: https://kahypar.org/ URL: https://kahypar.org/ Compatible modules: python/3.8, python/3.9, python/3.10, python/3.11<br /><br /><br /></div> | |||
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| align="center" | [http://kaiju.binf.ku.dk/ kaiju] | | align="center" | [http://kaiju.binf.ku.dk/ kaiju] | ||
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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" | bio | | align="center" | bio | ||
| align="center" | 3.0.2, 3.2.0, 3.2.1, 3.2.2, 4.0.0 | | align="center" | 3.0.2, 3.2.0, 3.2.1, 3.2.2, 4.0.0 | ||
| <div class="mw-collapsible mw-collapsed" style="white-space: pre-line;"><br />Description: Trinotate is a comprehensive annotation suite designed for automatic functional annotation of transcriptomes, particularly de novo assembled transcriptomes, from model or non-model organisms. Homepage: https://trinotate.github.io/ URL: https://trinotate.github.io/ Extensions: CGI-4. | | <div class="mw-collapsible mw-collapsed" style="white-space: pre-line;"><br />Description: Trinotate is a comprehensive annotation suite designed for automatic functional annotation of transcriptomes, particularly de novo assembled transcriptomes, from model or non-model organisms. Homepage: https://trinotate.github.io/ URL: https://trinotate.github.io/ Extensions: CGI-4.51, Text::NSP-1.31 Keyword:bio<br /><br /><br /></div> | ||
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| align="center" | [https://triqs.github.io/triqs triqs] | | align="center" | [https://triqs.github.io/triqs triqs] | ||