CLHEP is a set of HEP-specific foundation and utility classes such as random generators, physics vectors, geometry and linear algebra. CLHEP is structured in a set of packages independent of any external package.

Hawen stands for time-HArmonic Wave modEling and iNversion using Hybridizable Discontinuous Galerkin Discretization. The code is written in Fortran90, for forward and inverse time-harmonic wave problems. It uses MPI and OpenMP parallelism.

This package provides font data for mplhep.

FCLIB is an open source collection of Frictional Contact (FC) problems stored in a specific HDF5 format with a light implementation in C Language of Input/Output functions to read and write those problems.

This package provides a Pythonic Jupyter-friendly Python API for the HepMC3 library.

pyhepmc has been optimised for safety, usability, and efficiency by a human expert, something that an automatic tool cannot provide. It brings these unique features:

• Python idioms are supported where appropriate.

• Simple IO with pyhepmc.open.

• An alternative Numpy API whih accelerates event processing.

• The public API is fully documented with Python docstrings.

• Objects are inspectable in Jupyter notebooks.

• Events render as graphs in Jupyter notebooks.

Smilei is a user-friendly electromagnetic particle-in-cell code for the kinetic simulation of plasmas. Co-developed by physicists and computer scientists, it is designed for high-performance on the most recent supercomputing architectures. Smilei is applied to a wide range of applications, from laser-plasma interaction, to accelerator physics, space physics and astrophysics.

A KOkkos based colLIsion OPerator (KoLiOp) for Gysela that computes the evolution of the distribution function due to collisions.

This package provides example files (e.g. ROOT) for testing and developing HEP packages against.

ROOT is a data analysis framework developed by CERN for tasks such as data storage, processing, and visualization. It provides tools for histograms, statistical tests, fitting, simulations, and machine learning. It can handle large datasets and uses a specialized file format.

This package provides a set of helpers for matplotlib to more easily produce plots typically needed in HEP as well as style them in way that's compatible with current collaboration requirements (ROOT-like plots for CMS, ATLAS, LHCb, ALICE).

silx project is to provide a collection of Python packages to support the development of data assessment, reduction and analysis applications at synchrotron radiation facilities. silx aims to provide reading/writing tools for different file formats, data reduction routines and a set of Qt widgets to browse and visualise data.

CLHEP is a set of HEP-specific foundation and utility classes such as random generators, physics vectors, geometry and linear algebra. CLHEP is structured in a set of packages independent of any external package.

This package provides a Python implementation of a statistical model for multi-bin histogram-based analysis and its interval estimation is based on the asymptotic formulas of "Asymptotic formulae for likelihood-based tests of new physics". The aim is also to support modern computational graph libraries such as PyTorch and TensorFlow in order to make use of features such as autodifferentiation and GPU acceleration.

Gyselalib++ is a collection of C++ components for writing gyrokinetic semi-lagrangian codes and similar as well as a collection of such codes.

hdf5plugin provides HDF5 compression filters (namely: Blosc, Blosc2, BitShuffle, BZip2, FciDecomp, LZ4, Sperr, SZ, SZ3, Zfp, ZStd) and makes them usable from h5py.

This package provides a library for statistical inference aiming to cover the needs High Energy Physics.

CLHEP is a set of HEP-specific foundation and utility classes such as random generators, physics vectors, geometry and linear algebra. CLHEP is structured in a set of packages independent of any external package.

This package provides utilities for downloading several URL as one, as well as supporting multi-part URLs.

Python meta-package for deisa-dask and deisa-ray.

This package provides common CLI patterns on top of Click.

distinctipy is a lightweight python package providing functions to generate colours that are visually distinct from one another.

dask-jobqueue makes it easy to deploy Dask on common job queuing systems typically found in high performance supercomputers, academic research institutions, and other clusters, like PBS, Slurm, MOAB, SGE, LSF, and HTCondor.

This package introduces a function decorator preventing a function from being called more often than that allowed by the API provider. This should prevent API providers from banning your applications by conforming to their rate limits.

Tools and utilities shared by Deisa backends.