| Package Name | Access | Summary | Updated |
|---|---|---|---|
| pymomentum-gpu | public | A library for human kinematic motion and numerical optimization solvers to apply human motion | 2025-09-29 |
| vllm | public | A high-throughput and memory-efficient inference and serving engine for LLMs | 2025-09-29 |
| pyiron_vasp | public | Vasp plugin for pyiron - an integrated development environment (IDE) for computational materials science. | 2025-09-29 |
| oh-my-posh | public | Prompt theme engine for any shell | 2025-09-29 |
| pytango-db | public | Fork of PyTango's internal sqlite based database device. | 2025-09-29 |
| asyncssh | public | AsyncSSH: Asynchronous SSHv2 client and server library | 2025-09-29 |
| sparrow-devel | public | C++20 idiomatic APIs for the Apache Arrow Columnar Format | 2025-09-29 |
| sparrow | public | C++20 idiomatic APIs for the Apache Arrow Columnar Format | 2025-09-29 |
| libgz-cmake | public | A set of CMake modules that are used by the C++-based Gazebo projects. | 2025-09-29 |
| gz-cmake | public | A set of CMake modules that are used by the C++-based Gazebo projects. | 2025-09-29 |
| libgz-cmake4 | public | A set of CMake modules that are used by the C++-based Gazebo projects. | 2025-09-29 |
| gz-cmake4 | public | A set of CMake modules that are used by the C++-based Gazebo projects. | 2025-09-29 |
| gz-cmake3 | public | A set of CMake modules that are used by the C++-based Gazebo projects. | 2025-09-29 |
| libgz-cmake3 | public | A set of CMake modules that are used by the C++-based Gazebo projects. | 2025-09-29 |
| pythia8 | public | A tool for the generation of events in high-energy collisions | 2025-09-29 |
| sphinx_parser | public | Parser for the DFT program SPHInX | 2025-09-29 |
| r-mirt | public | Analysis of dichotomous and polytomous response data using unidimensional and multidimensional latent trait models under the Item Response Theory paradigm (Chalmers (2012) <doi:10.18637/jss.v048.i06>). Exploratory and confirmatory models can be estimated with quadrature (EM) or stochastic (MHRM) methods. Confirmatory bi-factor and two-tier analyses are available for modeling item testlets. Multiple group analysis and mixed effects designs also are available for detecting differential item and test functioning as well as modeling item and person covariates. Finally, latent class models such as the DINA, DINO, multidimensional latent class, and several other discrete latent variable models, including mixture and zero-inflated response models, are supported. | 2025-09-29 |
| golangci-lint | public | Stricter gofmt | 2025-09-29 |
| power-grid-model-io | public | Power Grid Model Input/Output | 2025-09-29 |
| robotframework-browser | public | Robot Framework Browser library powered by Playwright. | 2025-09-29 |
| caf.distribute | public | Methods to distribute values across arrays | 2025-09-29 |
| dxfuse | public | FUSE filesystem for the DNAnexus storage system | 2025-09-29 |
| release-it | public | Automate versioning and package publishing | 2025-09-29 |
| publint | public | Lint packaging errors | 2025-09-29 |
| caf.base | public | Core classes and definitions for CAF family of tools | 2025-09-29 |
