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Software Highlights

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1-12 of 33

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

AMPL
C
Fortran
+ 25

asrlitcompare

A tool written in rmarkdown or assessing the level of agreement between two raters following screening in ASReview. Users only need the two .csv files downloaded from ASReview, and the tool will automatically compile a summary report as an HTML file, viewable in your web browser.

ASReview
inter-rater reliability
literature screening
+ 1

HTML
C++
JavaScript
+ 14

ASTRA Toolbox

The ASTRA Toolbox is a Python and MATLAB library of flexible, high-performance GPU-accelerated primitives for 2D and 3D tomography.

CT
GPU
Image reconstruction
+ 4

C++
Cuda
MATLAB
+ 8

1206

BridgeDb Java

Java library for identifier mapping

Data
persistent identifiers

Java
Perl
Shell
+ 4

117

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

Canadian Writing Research Collaboratory (CWRC)

CWRC aims to make digital research methods broadly accessible, and to develop an active community of researchers engaged in exploring the potential of collaboration online.

Canadian culture & history
cultural studies
digital humanities
+ 1

JavaScript
PHP
HTML
+ 16

CMLXOM

Java library for working with Chemical Markup Language files.

Chemical Markup Language
Chemistry
XML

Java
XSLT
HTML
+ 1

COPASI

COPASI is an open source software for simulation and analysis of biochemical networks and their dynamics. It provides simulations using ODEs, SDEs, or Gillespie's stochastic simulation algorithm, with optional discrete events. COPASI provides several analyses, optimization, and parameter estimation.

Dynamics
optimization
Parameter estimation
+ 3

C++
Java
Fortran
+ 17

2501

cvasl

This library allows exploration and analyses of neuroimaging datsets. The software was developed to allow implementation of multiple large data harmonization and machine learning algorithms over neuroradiology datasets. The core algorithms are implemented in Python.

Jupyter Notebook
Python
Dockerfile
+ 2

eEecology Classification

Automatic classification of accelerometer data using a supervised learning approach.

Machine learning

Java
JavaScript
HTML
+ 3

LUE

LUE is software for storing and manipulating large amounts of information for large numbers of objects. The software is useful, and currently mainly used, in the context of environmental modelling of biological and physical systems, represented by agents and fields.

Agent-based modeling
environmental modelling
field based modelling
+ 6

C++
Python
CMake
+ 5

matchms

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

Big data
Optimized data handling

Python
TeX
Batchfile
+ 1