QCDNUM numerically solves the DGLAP evolution equations on a discrete grid in x and Q2. You can evolve unpolarised parton density functions in NNLO, and polarised PDFs or fragmentation functions in NLO.

YODA is a small set of data analysis (specifically histogramming) classes being developed by MCnet members as a lightweight common system for MC event generator validation analyses, particularly as the core histogramming system in Rivet.

HOPPET is a Fortran package for carrying out DGLAP evolution and other common manipulations of PDFs. It also includes C++ and Python interfaces to many of the key features.

xFitter is an open source QCD fit framework desinged to extract PDFs and assess the impact of new data. The xFitter project is is a common initiative by the H1 and ZEUS collaborations and extended to the LHC collaborations to provide precision QCD analyses. xFitter has been used as one of the main software packages for the determination of the HERA proton parton densities, HERAPDFs.

PYTHIA is a program for the generation of high-energy physics collision events, i.e. for the description of collisions at high energies between electrons, protons, photons and heavy nuclei. It contains theory and models for a number of physics aspects, including hard and soft interactions, parton distributions, initial- and final-state parton showers, multiparton interactions, fragmentation and decay. It is largely based on original research, but also borrows many formulae and other knowledge from the literature. As such it is categorized as a general-purpose Monte Carlo event generator.

Recola is a Fortran95 computer program for the automated generation and numerical computation of EW and QCD amplitudes in the Standard Model at next-to-leading order.

Sherpa is a Monte Carlo event generator for the Simulation of High-Energy Reactions of PArticles in lepton-lepton, lepton-photon, photon-photon, lepton-hadron and hadron-hadron collisions. Simulation programs - also dubbed event generators - like Sherpa are indispensable work horses for current particle physics phenomenology and are (at) the interface between theory and experiment.

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.

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

APFEL is a library able to perform DGLAP evolution up to NNLO in QCD and to NLO in QED, both with pole and MSbar masses. The coupled DGLAP QCD+QED evolution equations are solved in x-space by means of higher order interpolations and Runge-Kutta techniques.

Rivet is a system for preservation of particle-collider analysis logic, analysis reinterpretation via MC simulations, and the validation and improvement of Monte Carlo event generator codes. It covers all aspects of collider physics, from unfolded precision measurements to reconstruction-level searches, and physics from the Standard Model to BSM theories, and from perturbative jet, boson and top-quarks to hadron decays, inclusive QCD, and Heavy Ion physics.

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

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 library for statistical inference aiming to cover the needs High Energy Physics.

LHAPDF is the standard tool for evaluating PDFs in high-energy physics. PDFs encode the flavour and momentum structure of composite particles, such as protons, pions and nuclei; most cross-section calculations are based on parton-level matrix-elements which must be connected to the real interacting particles, hence PDFs are an essential ingredient of phenomenological and experimental studies at hadron and heavy-ion colliders (e.g. LHC, HERA, Tevatron, EIC, FCC) and in cosmic-ray physics.

Recola2 is a Fortran95 computer program for the automated generation and numerical evaluation of amplitudes in general quantum field theories at one-loop order. It is the successor of Recola and extends it by additional features.

The PHOTOS Monte Carlo is used for the generation of bremsstrahlung in the decay of particles and resonances.

FeynHiggs is a Fortran code for the (diagrammatic/EFT/hybrid) calculation of the masses, mixings and much more of the Higgs bosons in the MSSM with real/complex parameters at the highest level of accuracy.

The FastJet package provides a fast implementation of several longitudinally invariant sequential recombination jet algorithms, in particular the longitudinally invariant k_t jet algorithm, the inclusive longitudinally invariant version of the Cambridge/Aachen jet-algorithm, and the inclusive anti-k_t algorithm.

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

ADIOS2 transports data as groups of self-describing variables and attributes across different media types (such as files, wide-area-networks, and remote direct memory access) using a common application programming interface for all transport modes. ADIOS2 can be used on supercomputers, cloud systems, and personal computers.

IOR is a parallel IO benchmark that can be used to test the performance of parallel storage systems using various interfaces and access patterns. The IOR repository also includes the mdtest benchmark which specifically tests the peak metadata rates of storage systems under different directory structures. Both benchmarks use a common parallel I/O abstraction backend and rely on MPI for synchronization.

PaRSEC is a generic framework for architecture aware scheduling and management of micro-tasks on distributed many-core heterogeneous architectures. Applications are expressed as a Direct Acyclic Graph of tasks with labeled edges designating data dependencies. PaRSEC assigns computation threads to the cores, overlaps communications and computations between nodes as well as between host and accelerators (like GPUs). It achieves these features by using a dynamic, fully-distributed scheduler based on architectural features such as NUMA nodes and GPU awareness, as well as algorithmic features such as data reuse.

StarPU is a run-time system that offers support for heterogeneous multicore machines. While many efforts are devoted to design efficient computation kernels for those architectures (e.g. to implement BLAS kernels on GPUs), StarPU not only takes care of offloading such kernels (and implementing data coherency across the machine), but it also makes sure the kernels are executed as efficiently as possible.