All software

matchms

Python library for fuzzy comparison of mass spectrum data and other Python objects

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.

FAIR Data Point

RESTful web service that enables data owners to expose their data sets using rich machine-readable metadata.

ESMValCore

ETHOS.RESKit

RESKit aids with the broad-scale simulation of renewable energy systems, primarily for the purpose of input generation to Energy System Design Models.

Code and data underlying the publication: City3D: Large-scale Building Reconstruction from Airborne LiDAR Point Clouds

Code and data underlying the publication: City3D: Large-scale Building Reconstruction from Airborne LiDAR Point Clouds

Scholia

Graphical User Interface around Wikidata that uses SPARQL to collect data

CaNS

Canonical Navier-Stokes is a library for massively-parallel numerical simulations of fluid flows.

DeepRank

Deep learning framework for data mining protein-protein interactions using CNN

nnDetection

nnDetection: A Self-configuring Method for Medical Object Detection

BornAgain

Software to simulate and fit neutron and x-ray reflectometry and grazing-incidence small-angle scattering. The latter is computed as usual, using the distorted-wave Born approximation, hence the name. Users can set up arbitrary multilayer samples with interface roughness and embedded nanoparticles.

Parcels

Parcels (Probably A Really Computationally Efficient Lagrangian Simulator) is a set of Python classes and methods to create customisable particle tracking simulations using output from Ocean Circulation models. Parcels can be used to track passive and active particulates such as plastic and fish.