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   Morrell, Thomas E; Rohan, Bhattarai; Elizabeth, Won (June 2024, CaltechDATA)

   This release makes a new command line interface (CLI) available for CaltechDATA. It allows you to create and edit records in CaltechDATA using the API entirely from the command line. You can create metadata entirely on the command line, or utilize a README template https://github.com/caltechlibrary/caltechdata_api/blob/main/templates/README.md, or use the previously supported json file https://github.com/caltechlibrary/caltechdata_api/blob/main/example.json. As we bring online new storage options online for Caltech, the CLI will be updated and enhanced. 

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2. The Water Table Model

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   Callaghan, Kerry Lee; Barnes, Richard; Wickert, Andrew D (February 2024, Zenodo)

   Minor updates to the Water Table Model: some deprecated code, set nodata values, update readme. What's Changed Update README.md by @KCallaghan in https://github.com/KCallaghan/WTM/pull/66 Full Changelog: https://github.com/KCallaghan/WTM/compare/v2.0.0...v2.0.1 If you use this software, please cite it as below. 

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3. Einsums/Einsums: v1.0.0 release

   https://doi.org/10.5281/zenodo.14968301  

   Turney, Justin; Briggs, Connor; Burns, Lori A; Jiang, Andy; Mitchell, Erica (January 2025, Zenodo)

   What's Changed Optimize some vector operations by @cgbriggs99 in https://github.com/Einsums/Einsums/pull/90 Add a way to create a tensor view of a pointer by @cgbriggs99 in https://github.com/Einsums/Einsums/pull/92 Add python bindings by @cgbriggs99 in https://github.com/Einsums/Einsums/pull/87 Update IndexUtils.hpp by @jturney in https://github.com/Einsums/Einsums/pull/95 Einsums Restructuring by @jturney in https://github.com/Einsums/Einsums/pull/97 Fix print. by @cgbriggs99 in https://github.com/Einsums/Einsums/pull/102 Docs: Docs were not deploying by @jturney in https://github.com/Einsums/Einsums/pull/104 Fix performance issues by @cgbriggs99 in https://github.com/Einsums/Einsums/pull/107 Fix parsing bug by @cgbriggs99 in https://github.com/Einsums/Einsums/pull/110 Fix performance again by @cgbriggs99 in https://github.com/Einsums/Einsums/pull/111 Fixing docs by @cgbriggs99 in https://github.com/Einsums/Einsums/pull/101 Docs: Tweaks for consistency. by @jturney in https://github.com/Einsums/Einsums/pull/120 Move Design Patterns by @cgbriggs99 in https://github.com/Einsums/Einsums/pull/121 Full Changelog: https://github.com/Einsums/Einsums/compare/v0.6.1...v1.0.0 

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4. QMCSoftware/QMCSoftware: QMCPy v2.0

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   Sorokin, Aleksei G; Hickernell, Fred J; Jain, Adit; Choi, Sou-Cheng; Rathinavel, Jagadeeswaran; Zhang, David; Lin, Lijia; Robbe, Pieterjan; Pascual_Kwan, Ally; Haji-Ali, Abdul-Lateef; et al (August 2025, Zenodo)

   What's Changed Hpc stabilize by @alegresor in https://github.com/QMCSoftware/QMCSoftware/pull/382 Update README.md by @zitterbewegung in https://github.com/QMCSoftware/QMCSoftware/pull/385 Geometric brownian motion by @larissensium in https://github.com/QMCSoftware/QMCSoftware/pull/392 QMCPy Overhaul by @alegresor in https://github.com/QMCSoftware/QMCSoftware/pull/391 v2.0 by @alegresor in https://github.com/QMCSoftware/QMCSoftware/pull/394 New Contributors @larissensium made their first contribution in https://github.com/QMCSoftware/QMCSoftware/pull/392 Full Changelog: https://github.com/QMCSoftware/QMCSoftware/compare/v1.6.1...v2.0 

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5. dadi-cli: Automated and distributed population genetic model inference from allele frequency spectra

   https://doi.org/10.1101/2023.06.15.545182  

   Huang, Xin; Struck, Travis J; Davey, Sean W; Gutenkunst, Ryan N (June 2023, bioRxiv)

   Abstract Summarydadi is a popular software package for inferring models of demographic history and natural selection from population genomic data. But using dadi requires Python scripting and manual parallelization of optimization jobs. We developed dadi-cli to simplify dadi usage and also enable straighforward distributed computing. Availability and Implementationdadi-cli is implemented in Python and released under the Apache License 2.0. The source code is available athttps://github.com/xin-huang/dadi-cli. dadi-cli can be installed via PyPI and conda, and is also available through Cacao on Jetstream2https://cacao.jetstream-cloud.org/. 

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