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Software Highlights

ESMValTool

The Earth System Model eValuation Tool is a community diagnostics and performance metrics tool for the evaluation of Earth System Models that allows for routine comparison of models and observations.

Big data
Optimized data handling
Visualization
+ 1

NCL
Python
R
+ 7

388

Kernel Tuner

Kernel Tuner greatly simplifies the development of highly-optimized and auto-tuned CUDA, OpenCL, and C code, supporting many advanced use-cases and optimization strategies that speed up the auto-tuning process.

Big data
GPU
High performance computing
+ 3

Python

116

Citation File Format

The Citation File Format lets you provide citation metadata for software or datasets in plaintext files that are easy to read by both humans and machines.

FAIR
Inter-operability & linked data

Python

Research Software Directory

A content management system for research software, which promotes the visibility, reuse, and impact of research software.

FAIR
Research Software Impact
Software Citation

TypeScript
Java
PLpgSQL
+ 7

DeepRank2

DeepRank2 is an open-source deep learning framework for data mining of protein-protein interfaces or single-residue missense variants. This package is an improved and unified version of three previously developed packages: DeepRank, DeepRank-GNN and DeepRank-Mut.

Cancer vaccine
Convolutional Neural Network
Deep Learning Framework
+ 5

Python
Jupyter Notebook
TeX
+ 1

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1-12 of 16

EC-Earth

A European community Earth-System Model

Climate change
Climate modeling
High performance computing
+ 1

1095

DUNE (Distributed and Unified Numerics Environment)

DUNE, the Distributed and Unified Numerics Environment, is a modular toolbox for solving partial differential equations (PDEs) with grid-based methods. It supports the easy, flexible, and efficient implementation of finite element and volume methods. DUNE is C++ code and also has a Python interface.

C++
Grid-based PDE methods
High performance computing
+ 5

C++
CMake
Python
+ 2

547

AMUSE

Combine existing numerical codes in an easy to use Python framework. With AMUSE you can simulate objects such as star clusters, proto-planetary disks and galaxies.

High performance computing
Multi-scale & multi model simulations
Workflow technologies

C
Fortran
Python
+ 26

280

Kernel Tuner

Big data
GPU
High performance computing
+ 3

Python

116

QMflows

Construction and efficient execution of computational chemistry workflows.

Multi-scale & multi model simulations
Workflow technologies

Python
Jupyter Notebook
Shell

OMUSE

A Python environment to interface and couple oceanographic and other earth system model codes.

High performance computing
Multi-scale & multi model simulations

Fortran
Python
HTML
+ 10

MUSCLE3

MUSCLE3 is a coupling library for building multiscale simulations out of single-scale models.

High performance computing
Multi-scale & multi model simulations

Fortran
C++
Python
+ 4

ewatercycle

The eWaterCycle package makes it easier to use hydrological models without having intimate knowledge about how to install and run the models.

Inter-operability & linked data
Multi-scale & multi model simulations
Optimized data handling
+ 1

Python
Dockerfile

byteparsing

Parser library for reading custom binary files from Python.

Big data
Multi-scale & multi model simulations
Optimized data handling

Jupyter Notebook
Python
C++
+ 5

FLAME GPU

FLAME GPU is a GPU accelerated simulator for domain independent complex systems simulations. FLAME GPU provides a mapping between a simple description of an agent and its interactions into optimised GPU code. The software abstracts the details and complexity of the GPU away from modellers.

GPU
High performance computing
Multi-scale & multi model simulations
+ 2

GridFormat

Header-only C++ Library for grid file I/O

Grid-based PDE methods
grid file I/O
mesh file I/O
+ 3

C++
CMake
Python
+ 1

grpc4bmi

Run, read and write model state of a numerical simulation written in a variety of languages remotely from Python

Multi-scale & multi model simulations

Python
C++
Dockerfile
+ 5