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Package Name Access Summary Updated
hdf5plugin public HDF5 Plugins for windows, MacOS, and linux 2025-10-10
jql public JSON query language CLI tool 2025-10-10
euporie public Euporie is a suite of terminal applications for interacting with Jupyter kernels 2025-10-10
libxkbcommon public keymap handling library for toolkits and window systems 2025-10-10
python-miranda public Python utilities for climate data collection, conversion, and management. 2025-10-10
pyecharts public Python options, make charting easier 2025-10-10
stencil-core public A Compiler for Web Components and Progressive Web Apps 2025-10-10
mocket public Socket Mock Framework - for all kinds of socket animals, web-clients included - with gevent/asyncio/SSL support 2025-10-10
pytest-rerunfailures public pytest plugin to re-run tests to eliminate flaky failures 2025-10-10
openexr public OpenEXR is a high dynamic-range (HDR) image file format developed by Industrial Light & Magic for use in computer imaging applications. 2025-10-10
chezmoi public Manage your dotfiles across multiple diverse machines, securely 2025-10-10
osqp-eigen public Simple C++ wrapper for osqp library. 2025-10-10
virtualenv public Virtual Python Environment builder 2025-10-10
libgz-launch9 public Run and manage programs and plugins. 2025-10-10
gz-launch9 public Run and manage programs and plugins. 2025-10-10
metaflow public Metaflow: More Data Science, Less Engineering 2025-10-10
dragon-ml-toolbox public A collection of tools for data science and machine learning projects 2025-10-10
aws-cdk.cloud-assembly-schema public Cloud Assembly Schema 2025-10-10
flake8-annotations public Flake8 Type Annotation Checks 2025-10-10
unocss public The CLI for UnoCSS. A perfect fit for traditional backends. 2025-10-10
azure-mgmt-containerservice public Microsoft Azure Container Service Management Client Library for Python. 2025-10-10
r-mlr3mbo public A modern and flexible approach to Bayesian Optimization / Model Based Optimization building on the 'bbotk' package. 'mlr3mbo' is a toolbox providing both ready-to-use optimization algorithms as well as their fundamental building blocks allowing for straightforward implementation of custom algorithms. Single- and multi-objective optimization is supported as well as mixed continuous, categorical and conditional search spaces. Moreover, using 'mlr3mbo' for hyperparameter optimization of machine learning models within the 'mlr3' ecosystem is straightforward via 'mlr3tuning'. Examples of ready-to-use optimization algorithms include Efficient Global Optimization by Jones et al. (1998) <doi:10.1023/A:1008306431147>, ParEGO by Knowles (2006) <doi:10.1109/TEVC.2005.851274> and SMS-EGO by Ponweiser et al. (2008) <doi:10.1007/978-3-540-87700-4_78>. 2025-10-10
essspectroscopy public Spectroscopy data reduction for the European Spallation Source 2025-10-10
fractal-server public Backend component of the Fractal analytics platform 2025-10-10
beamngpy public Python API to interact with BeamNG.tech. 2025-10-10

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