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

Davix aims to make the task of managing files overHTTP-based protocols simple. It is being developed by the IT-SDC-ID section at CERN, and while the project’s purpose is its use on the CERN grid, the functionality offered is generic.

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

DCAP (dCache access protocol) client library: DCAP is the native random access I/O protocol for files within dCache. In addition to the usual data transfer mechanisms, it supports all necessary file metadata and name space manipulation operations.

OpenBLAS is a Basic Linear Algebra Subprograms (BLAS) library forked from the GotoBLAS2-1.13 BSD version.

PyFAI is an azimuthal integration library that tries to be fast (as fast as C and even more using OpenCL and GPU). It is based on histogramming of the 2theta/Q positions of each (center of) pixel weighted by the intensity of each pixel, but parallel version uses a SparseMatrix-DenseVector multiplication. Neighboring output bins get also a contribution of pixels next to the border thanks to pixel splitting. Finally pyFAI provides also tools to calibrate the experimental setup using Debye-Scherrer rings of a reference compound.

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

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.

FabIO is an I/O library for images produced by 2D X-ray detectors and written in Python. FabIO support images detectors from a dozen of companies (including Mar, Dectris, ADSC, Hamamatsu, Oxford, …), for a total of 30 different file formats (like CBF, EDF, TIFF, …) and offers an unified interface to their headers (as a Python dictionary) and datasets (as a numpy ndarray of integers or floats).

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).

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.

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.

The HepMC package is an object oriented C++ event record for High Energy Physics Monte Carlo generators and simulation.

Stand-alone application and Python tools for interactive and/or batch processing analysis of X-Ray Fluorescence Spectra.

This package provides a small and thin Python interface to read Les Houches Event (LHE) files.

pythonocc provides 3D modeling and dataexchange features. It is intended for CAD/PDM/PLM/BIM development. It is based on the OpenCascade Technology modeling kernel.

pythonocc provides the following features:

• Full access from Python to almost all of the thousand OpenCascade C++ classes. Classes and methods/functions share the same names, and, as possible as it can be, the same signature;

• 3D visualization from the most famous Python Gui (tkinter, pyQt5 and 6, PySide2 and 6, wxPython);

• 3D visualization in a web browser using threejs or x3dom frameworks;

• 3D visualization and work within a jupyter notebook;

• Data exchange using most famous formats IGES/STEP/STL/PLY/OBJ/GLTF;

• Utility Python classes/methods for Topology operations, inertia computations, and more.

XRootD aims to give high performance, scalable, fault tolerant access to data repositories of many kinds, including file-based ones. It is based on a scalable architecture, a communication protocol, and a set of plugins and tools.

The Scikit-HEP project (HEP stands for High Energy Physics, see more in the FAQ) is a community-driven and community-oriented project with the aim of providing Particle Physics at large with an ecosystem for data analysis in Python.

VDT is a library of mathematical functions, implemented in double and single precision. The implementation is fast and with the aid of modern compilers (e.g. gcc 4.7) vectorisable. VDT exploits also Pade polynomials.

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.

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 Zarr I/O backend for the HDMF.

Paste provides a variety of web development tools and middleware which can be nested together to build web applications. Paste's design closely follows ideas flowing from WSGI (Web Standard Gateway Interface).

Envisage is a Python-based framework for building extensible applications, that is, applications whose functionality can be extended by adding 'plug-ins. Envisage provides a standard mechanism for features to be added to an application, whether by the original developer or by someone else. In fact, when you build an application using Envisage, the entire application consists primarily of plug-ins. In this respect, it is similar to the Eclipse and Netbeans frameworks for Java applications.