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 | align="center" | [https://arrow.apache.org arrow]
 | align="center" | tools
-| align="center" | 0.11.1, 0.15.1, 0.16.0, 0.17.1, 2.0.0, 5.0.0, 7.0.0, 8.0.0, 9.0.0, 10.0.1, 11.0.0, 12.0.1, 13.0.0, 14.0.0, 14.0.1, 15.0.1, 16.1.0
+| align="center" | 0.11.1, 0.15.1, 0.16.0, 0.17.1, 1.0.0, 2.0.0, 5.0.0, 7.0.0, 8.0.0, 9.0.0, 10.0.1, 11.0.0, 12.0.1, 13.0.0, 14.0.0, 14.0.1, 15.0.1, 16.1.0
 | <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/3.11, python/3.10 Keyword:tools<br /><br /><br /></div>
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@@ Line 308: / Line 308: @@
 | align="center" | bio
 | align="center" | 3.0.4
-| <div class="mw-collapsible mw-collapsed" style="white-space: pre-line;"><br />Description: BayesAss: Bayesian Inference of Recent Migration Using Multilocus Genotypes Homepage: http://www.rannala.org/?page_id=245 URL: http://www.rannala.org/?page_id=245 Keyword:bio<br /><br /><br /></div>
+| <div class="mw-collapsible mw-collapsed" style="white-space: pre-line;"><br />Description: BayesAss: Bayesian Inference of Recent Migration Using Multilocus Genotypes Homepage: http://www.rannala.org/?page_id=245 Keyword:bio<br /><br /><br /></div>
 |-
 | align="center" | [http://www.rannala.org/inference-of-recent-migration bayesass3-snps]
@@ Line 388: / Line 388: @@
 | align="center" | -
 | align="center" | 1.03
-| <div class="mw-collapsible mw-collapsed" style="white-space: pre-line;"><br />Description: bgc implements Bayesian estimation of genomic clines to quantify introgression at many loci. Models are available for linked loci, genotype uncertainty and sequence errors. Models for genotype uncertainty and sequence error can be used to estimate genomic cline parameters from next-generation sequence data. Homepage: https://sites.google.com/site/bgcsoftware/<br /><br /><br /></div>
+| <div class="mw-collapsible mw-collapsed" style="white-space: pre-line;"><br />Description: bgc implements Bayesian estimation of genomic clines to quantify introgression at many loci. Models are available for linked loci, genotype uncertainty and sequence errors. Models for genotype uncertainty and sequence error can be used to estimate genomic cline parameters from next-generation sequence data. Homepage: https://sites.google.com/site/bgcsoftware/ URL: https://sites.google.com/site/bgcsoftware/<br /><br /><br /></div>
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 | align="center" | [https://bitbucket.org/gavinband/bgen/src/default/ bgen]
@@ Line 508: / Line 508: @@
 | align="center" | phys
 | align="center" | 1.2.5
-| <div class="mw-collapsible mw-collapsed" style="white-space: pre-line;"><br />Description: Boltzmann Transport Properties (BoltzTraP) is a program for calculating the semi-classic transport coefficients. Homepage: http://www.icams.de/content/departments/cmat/boltztrap/ Keyword:phys<br /><br /><br /></div>
+| <div class="mw-collapsible mw-collapsed" style="white-space: pre-line;"><br />Description: Boltzmann Transport Properties (BoltzTraP) is a program for calculating the semi-classic transport coefficients. Homepage: http://www.icams.de/content/departments/cmat/boltztrap/ URL: http://www.icams.de/content/departments/cmat/boltztrap/ Keyword:phys<br /><br /><br /></div>
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 | align="center" | [https://www.boost.org/ boost]
@@ Line 1,632: / Line 1,632: @@
 | align="center" | [https://github.com/NVIDIA/gdrcopy gdrcopy]
 | align="center" | -
-| align="center" | 2.1, 2.3.1
+| align="center" | 2.1, 2.3, 2.3.1
 | <div class="mw-collapsible mw-collapsed" style="white-space: pre-line;"><br />Description: A low-latency GPU memory copy library based on NVIDIA GPUDirect RDMA technology. Homepage: https://github.com/NVIDIA/gdrcopy URL: https://github.com/NVIDIA/gdrcopy<br /><br /><br /></div>
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@@ Line 1,773: / Line 1,773: @@
 | align="center" | tools
 | align="center" | 0.3.1
-| <div class="mw-collapsible mw-collapsed" style="white-space: pre-line;"><br />Description: This is GLOST, the Greedy Launcher Of Small Tasks. Homepage: https://github.com/cea-hpc/glost Keyword:tools<br /><br /><br /></div>
+| <div class="mw-collapsible mw-collapsed" style="white-space: pre-line;"><br />Description: This is GLOST, the Greedy Launcher Of Small Tasks. Homepage: https://github.com/cea-hpc/glost URL: https://github.com/cea-hpc/glost Keyword:tools<br /><br /><br /></div>
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 | align="center" | [https://www.gnu.org/software/glpk/ glpk]
@@ Line 1,853: / Line 1,853: @@
 | align="center" | vis
 | align="center" | 5.99.0
-| <div class="mw-collapsible mw-collapsed" style="white-space: pre-line;"><br />Description: Grace is a WYSIWYG 2D plotting tool for X Windows System and Motif. Homepage: http://freecode.com/projects/grace URL: http://freecode.com/projects/grace Keyword:vis<br /><br /><br /></div>
+| <div class="mw-collapsible mw-collapsed" style="white-space: pre-line;"><br />Description: Grace is a WYSIWYG 2D plotting tool for X Windows System and Motif. Homepage: http://freecode.com/projects/grace Keyword:vis<br /><br /><br /></div>
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 | align="center" | [http://grackle.readthedocs.io grackle]
@@ Line 2,978: / Line 2,978: @@
 | align="center" | math
 | align="center" | 4.0.3, 5.1.0
-| <div class="mw-collapsible mw-collapsed" style="white-space: pre-line;"><br />Description: METIS is a set of serial programs for partitioning graphs, partitioning finite element meshes, and producing fill reducing orderings for sparse matrices. The algorithms implemented in METIS are based on the multilevel recursive-bisection, multilevel k-way, and multi-constraint partitioning schemes. Homepage: http://glaros.dtc.umn.edu/gkhome/metis/metis/overview URL: http://glaros.dtc.umn.edu/gkhome/metis/metis/overview Keyword:math<br /><br /><br /></div>
+| <div class="mw-collapsible mw-collapsed" style="white-space: pre-line;"><br />Description: METIS is a set of serial programs for partitioning graphs, partitioning finite element meshes, and producing fill reducing orderings for sparse matrices. The algorithms implemented in METIS are based on the multilevel recursive-bisection, multilevel k-way, and multi-constraint partitioning schemes. Homepage: http://glaros.dtc.umn.edu/gkhome/metis/metis/overview Keyword:math<br /><br /><br /></div>
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 | align="center" | [http://glaros.dtc.umn.edu/gkhome/metis/metis/overview metis-64idx]
@@ Line 3,023: / Line 3,023: @@
 | align="center" | bio
 | align="center" | 2.0.1
-| <div class="mw-collapsible mw-collapsed" style="white-space: pre-line;"><br />Description: Minimac3 is a lower memory and more computationally efficient implementation of the genotype imputation algorithms in minimac and minimac2. Minimac3 is designed to handle very large reference panels in a more computationally efficient way with no loss of accuracy. Homepage: http://genome.sph.umich.edu/wiki/Minimac3 Keyword:bio<br /><br /><br /></div>
+| <div class="mw-collapsible mw-collapsed" style="white-space: pre-line;"><br />Description: Minimac3 is a lower memory and more computationally efficient implementation of the genotype imputation algorithms in minimac and minimac2. Minimac3 is designed to handle very large reference panels in a more computationally efficient way with no loss of accuracy. Homepage: http://genome.sph.umich.edu/wiki/Minimac3 URL: http://genome.sph.umich.edu/wiki/Minimac3 Keyword:bio<br /><br /><br /></div>
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 | align="center" | [https://genome.sph.umich.edu/wiki/Minimac4 minimac4]
@@ Line 3,173: / Line 3,173: @@
 | align="center" | bio
 | align="center" | 3.23, 4.0.0beta2
-| <div class="mw-collapsible mw-collapsed" style="white-space: pre-line;"><br />Description: MUMmer is a system for rapidly aligning entire genomes, whether in complete or draft form. AMOS makes use of it. Homepage: http://mummer.sourceforge.net/ Keyword:bio<br /><br /><br /></div>
+| <div class="mw-collapsible mw-collapsed" style="white-space: pre-line;"><br />Description: MUMmer is a system for rapidly aligning entire genomes, whether in complete or draft form. AMOS makes use of it. Homepage: http://mummer.sourceforge.net/ URL: http://mummer.sourceforge.net/ Keyword:bio<br /><br /><br /></div>
 |-
 | align="center" | [https://graal.ens-lyon.fr/MUMPS/ mumps-metis]
@@ Line 4,183: / Line 4,183: @@
 | align="center" | geo
 | align="center" | 1.0
-| <div class="mw-collapsible mw-collapsed" style="white-space: pre-line;"><br />Description: proj4-fortran is a f77 and f90 wrappers for proj4, a cartograohic projections library. Homepage: https://github.com/mhagdorn/proj4-fortran Keyword:geo<br /><br /><br /></div>
+| <div class="mw-collapsible mw-collapsed" style="white-space: pre-line;"><br />Description: proj4-fortran is a f77 and f90 wrappers for proj4, a cartograohic projections library. Homepage: https://github.com/mhagdorn/proj4-fortran URL: https://github.com/mhagdorn/proj4-fortran Keyword:geo<br /><br /><br /></div>
 |-
 | align="center" | [https://www.vicbioinformatics.com/software.prokka.shtml prokka]
@@ Line 4,487: / Line 4,487: @@
 | align="center" | [https://repast.github.io/ repasthpc]
 | 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>
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@@ Line 5,158: / Line 5,158: @@
 | align="center" | -
 | align="center" | 6.0.1.5, 8.6.1.6
-| <div class="mw-collapsible mw-collapsed" style="white-space: pre-line;"><br />Description: NVIDIA TensorRT is a platform for high-performance deep learning inference Homepage: https://developer.nvidia.com/tensorrt URL: https://developer.nvidia.com/tensorrt Compatible modules: python/3.10, python/3.11<br /><br /><br /></div>
+| <div class="mw-collapsible mw-collapsed" style="white-space: pre-line;"><br />Description: NVIDIA TensorRT is a platform for high-performance deep learning inference Homepage: https://developer.nvidia.com/tensorrt URL: https://developer.nvidia.com/tensorrt Compatible modules: python/3.8, python/3.9, python/3.10, python/3.11<br /><br /><br /></div>
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 | align="center" | [https://github.com/tesseract-ocr/tesseract tesseract]