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This package provides a module for OpenTURNS for integrating with aGrUM.
This package provides a module for OpenTURNS for support vector machine.
This package provides a module for OpenTURNS for fast Fourier transform computation.
This package provides a module for OpenTURNS with meshing algorithms.
This package provides a module for OpenTURNS for the Morris sensitivity method.
OpenTURNS is a scientific C++ and Python library including an internal data model and algorithms dedicated to the treatment of uncertainties. The main goal of this library is giving to specific applications all the functionalities needed to treat uncertainties in studies.
This package provides a module for OpenTURNS to formulate and solve robust optimization problems.
This package enables to build Probability of Detection (POD) curves from Non Destructive Test. The curves are built using parametric models: univariate linear regression, quantile regression, kriging and polynomial chaos. Analysis can be run in order to test the linear regression hypothesis.
PoD can be built from a set of data or directly from a given physical model that simulate the Non Destructive Test. In this case, the design of experiments is defined iteratively.
Sensitivity analysis can be also be performed. The aggregated Sobol indices are available as well as the perturbation law indices.
This package provides a module for OpenTURNS to formulate and solve robust optimization problems.
This package provides a bridge between OpenTURNS and FMUs, based on PyFMI.
(guix-science packages performance-monitoring)FxT is a fast tracing engine that can be used either in user land, in kernel land, or both. It can record developer-specified events in compact "traces", with minimal run-time overhead.
(guix-science packages performance-monitoring)MojitO/S is an Open Source System, Energy and Network Monitoring Tools at the O/S level. MojitO/S runs on GNU/Linux.
(guix-science packages performance-monitoring)An open-source benchmark and tracking library for C++ projects, designed to provide deep insights into function performance with minimal overhead. CTRACK is a powerful tool that can be seamlessly integrated into both development and production environments. It allows developers to effortlessly monitor applications and identify bottlenecks, requiring minimal setup and maintenance.
(guix-science packages performance-monitoring)EZTrace is a tool that aims at generating automatically execution trace from high performance computing (HPC) programs. It generates execution trace files that can be interpreted by visualization tools such as ViTE.
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.
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.
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.
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.
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.
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.
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.
A KOkkos based colLIsion OPerator (KoLiOp) for Gysela that computes the evolution of the distribution function due to collisions.
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.