tqdm — Peer-reviewed • Rank 27.2 • Science 95%

tqdm: A Fast, Extensible Progress Meter for Python and CLI - Published in JOSS (2019)

Monte Carlo / Dynamic Code (MC/DC) — Peer-reviewed • Rank 12.1 • Science 100%

Monte Carlo / Dynamic Code (MC/DC): An accelerated Python package for fully transient neutron transport and rapid methods development - Published in JOSS (2024)

t8code - modular adaptive mesh refinement in the exascale era — Peer-reviewed • Rank 10.8 • Science 100%

t8code - modular adaptive mesh refinement in the exascale era - Published in JOSS (2025)

Moltres — Peer-reviewed • Rank 7.8 • Science 100%

Moltres: finite element based simulation of molten salt reactors - Published in JOSS (2018)

GridapDistributed — Peer-reviewed • Rank 12.7 • Science 95%

GridapDistributed: a massively parallel finite element toolbox in Julia - Published in JOSS (2022)

SeismicMesh — Peer-reviewed • Rank 11.0 • Science 95%

SeismicMesh: Triangular meshing for seismology - Published in JOSS (2021)

highs.native • Rank 24.5 • Science 77%

Linear optimization software

veros • Rank 14.5 • Science 85%

The versatile ocean simulator, in pure Python, powered by JAX.

pennylane-lightning • Rank 21.8 • Science 64%

The Lightning plugin ecosystem provides fast quantum state-vector and tensor network simulators written in C++ for use with PennyLane.

core • Rank 10.2 • Science 75%

parallel finite element unstructured meshes

lamem • Rank 7.9 • Science 77%

LaMEM (Lithosphere and Mantle Evolution Model) - a 3D parallel code to simulate geodynamic and geomechanical processes

rapidgzip • Rank 16.6 • Science 67%

Gzip Decompression and Random Access for Modern Multi-Core Machines

optuna • Rank 15.2 • Science 67%

A hyperparameter optimization framework

ray • Rank 35.1 • Science 46%

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

stochopy • Rank 12.4 • Science 67%

Python library for stochastic numerical optimization

lightgbm • Rank 33.1 • Science 46%

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

deepgraph • Rank 15.0 • Science 59%

Analyze Data with Pandas-based Networks. Documentation:

parafilt • Rank 5.2 • Science 67%

Collection of parallel adaptive filter implementations for efficient signal processing applications in PyTorch.

parallel-hashmap • Rank 15.2 • Science 54%

A family of header-only, very fast and memory-friendly hashmap and btree containers.

mulimgviewer • Rank 13.7 • Science 54%

MulimgViewer is a multi-image viewer that can open multiple images in one interface, which is convenient for image comparison and image stitching.

graph-csr-openmp • Rank 0.7 • Science 67%

Design of high-performance OpenMP-based parallel Graph Edgelist and Compressed Sparse Row (CSR) loader, aka GVEL.

bedops • Rank 11.9 • Science 54%

:microscope: BEDOPS: high-performance genomic feature operations

edt • Rank 18.8 • Science 46%

Euclidean distance & signed distance transform for multi-label 3D anisotropic images using marching parabolas.

arborx • Rank 9.8 • Science 54%

Performance-portable geometric search library

https://github.com/root-project/root • Rank 14.6 • Science 46%

The official repository for ROOT: analyzing, storing and visualizing big data, scientifically

adaptive • Rank 20.8 • Science 39%

:chart_with_upwards_trend: Adaptive: parallel active learning of mathematical functions

esi-acme • Rank 9.4 • Science 44%

Asynchronous Computing Made ESI

https://github.com/madsjulia/robustpmap.jl • Rank 5.2 • Science 46%

Robust pmap calls for efficient parallelization and high-performance computing

https://github.com/futureverse/future.apply • Rank 24.4 • Science 26%

:rocket: R package: future.apply - Apply Function to Elements in Parallel using Futures

@stdlib/utils-parallel • Rank 4.9 • Science 44%

Execute scripts in parallel.

@stdlib/fs-read-file-list • Rank 4.3 • Science 44%

Read the entire contents of each file in a file list.

@stdlib/utils-async-parallel • Rank 3.3 • Science 44%

Execute a set of functions in parallel.

doFuture • Rank 17.2 • Science 26%

:rocket: R package: doFuture - Use Foreach to Parallelize via Future Framework

https://github.com/futureverse/future.batchtools • Rank 16.6 • Science 26%

:rocket: R package future.batchtools: A Future API for Parallel and Distributed Processing using batchtools

fast-matrix-market • Rank 13.8 • Science 26%

Fast and full-featured Matrix Market I/O library for C++, Python, and R

waiwera • Rank 10.2 • Science 26%

A parallel, open-source geothermal flow simulator

https://github.com/accenture/ocaramba • Rank 9.1 • Science 26%

C# Framework to automate tests using Selenium WebDriver

parsel • Rank 9.0 • Science 26%

parallel execution of RSelenium

https://github.com/ayaanhossain/sharedb • Rank 8.2 • Science 26%

An on-disk pythonic embedded key-value store for compressed data storage and distributed data analysis

https://github.com/zkh-dot/parallel-db • Rank 5.8 • Science 13%

Neet framework for managing database connections in python. Can be usefull for basicly any databases and can parallel your queries with ease.

https://github.com/adrn/parallelization-tutorial • Rank 0.0 • Science 13%

pgamit • Science 44%

Python wrapper to parallelize GAMIT executions

kmm • Science 26%

KMM: parallel dataflow scheduler and efficient memory management for multi-GPU platforms

pism • Science 77%

Repository for the Parallel Ice Sheet Model (PISM)

thread-chunks • Science 44%

A python package for performing memory intensive computations in parallel using chunks and checkpointing.

neural-fortran • Science 64%

A parallel framework for deep learning

nimble • Science 18%

Lightweight and Parallel Deep Learning Framework

libmesh • Science 54%

libMesh github repository

propulate • Science 75%

Propulate is an asynchronous population-based optimization algorithm and software package for global optimization and hyperparameter search on high-performance computers.

https://github.com/bioinfo-pf-curie/mpisort • Science 13%

https://github.com/charmplusplus/projections • Science 23%

Performance Analysis Tool for Charm++

https://github.com/bioinfo-pf-curie/mpibwa • Science 13%

chunklist • Science 67%

A Chunk List is a new, concurrent, chunk-based data structure that is easily modifiable and allows for fast run-time operations.

indexed-bzip2 • Science 57%

Fast parallel random access to bzip2 and gzip files in Python

tomobear • Science 67%

TomoBEAR is a configurable and customizable modular pipeline for streamlined processing of cryo-electron tomographic data for subtomogram averaging.

graph-openmp • Science 54%

Design of high-performance parallel Graph interface supporting efficient Dynamic batch updates.

https://github.com/bluebrain/bluepyparallel • Science 26%

Provides an embarrassingly parallel tool with sql backend

libfork • Science 59%

A bleeding-edge, lock-free, wait-free, continuation-stealing tasking library built on C++20's coroutines

thread-pool • Science 54%

BS::thread_pool: a fast, lightweight, modern, and easy-to-use C++17 / C++20 / C++23 thread pool library

The MOOSE Thermal Hydraulics Module — Peer-reviewed • Science 98%

The MOOSE Thermal Hydraulics Module - Published in JOSS (2024)

simulateqcd • Science 49%

SIMULATeQCD is a multi-GPU Lattice QCD framework that makes it easy for physicists to implement lattice QCD formulas while still providing competitive performance.

vector-atomic-access • Science 41%

Compare ways to access elements of a vector atomically.

corrp — Peer-reviewed • Science 93%

corrp: An R package for multiple correlation-like analysis and clustering in mixed data - Published in JOSS (2025)