Software
Part of CWI’s knowledge transfer is achieved by developing software, and making this available to researchers, industry and society. Some of our open source software tools are aimed to be used by a wide audience; others for scientists or businesses.
Adlib: Connecting collections management to the semantic web
Adlib is a software tool for making web thesauruses available in collections management. It uses Semantic Web technologies to implement an auto-completion function for describing images on works of art.
Afivo: A framework for adaptive mesh refinement with geometric multigrid methods
Afivo, short for Adaptive Finite Volume Octree, is a framework for adaptive mesh refinement on quadtree (2D) and octree (3D) meshes with shared memory parallelization (OpenMP) and geometric multigrid methods.
Amalgame: Managing alignments in large vocabularies
Amalgame, short for AMsterdam ALignment GenerAtion MEtatool, is a Semantic Web tool for finding, evaluating and managing vocabulary alignments, i.e. relating corresponding concepts in different vocabularies.
Ambulant: An open media player for SMIL presentations
The Ambulant Open SMIL Player is an open-source media player with support for SMIL, a W3C XML standard to describe multimedia presentations.
ASTRA Toolbox: Commercial-class software for tomography imaging
The ASTRA Toolbox is a MATLAB and Python platform providing scalable, high-performance GPU primitives for 2D and 3D tomography, including building blocks for advanced reconstruction algorithms.
Bio-Signal Data Processing and Visualization Suite: The full cycle
The Bio-Signal Data Processing and Visualization Suite supports the full cycle of collecting, processing, analysing and visualizing data from physiological sensors.
CLEVER: Ultra-fast search for genetic variants in human DNA
CLEVER, short for Clique-Enumerating Variant Finder, implements an extremely fast methodology for discovering genetic variants in genome fragment data.
Counter-Cryptanalysis: detecting forged digital MD5, SHA-1 signatures
The Counter-Cryptanalysis project provides a drop-in replacement for the existing cryptographic hash functions MD5 and SHA-1.
