Open Source MATLAB Data Visualization Software for Mac

The General Mission Analysis Tool (GMAT) is an open-source tool for space mission design and navigation. GMAT is developed by a team of NASA, private industry, and public and private contributors. The GMAT development team is pleased to announce the release of GMAT version R2026a. For a complete list of new features, compatibility changes, and bug fixes, see the R2026a Release Notes in the Users Guide.

OpenFace is an advanced facial behavior analysis toolkit intended for computer vision and machine learning researchers, those in the affective computing community, and those who are simply interested in creating interactive applications based on facial behavior analysis. The OpenFace toolkit is capable of performing several complex facial analysis tasks, including facial landmark detection, eye-gaze estimation, head pose estimation and facial action unit recognition. OpenFace is able to deliver state-of-the-art results in all of these mentioned tasks. OpenFace is available for Windows, Ubuntu and macOS installations. It is capable of real-time performance and does not need to run on any specialist hardware, a simple webcam will suffice.

LabPlot is a FREE, open source and cross-platform Data Visualization and Analysis software accessible to everyone.

Gramm is a MATLAB toolbox that enables the rapid creation of complex, publication-quality figures. Its design philosophy focuses on a declarative approach, where users specify the desired end result, as opposed to the traditional imperative method involving for loops, if/else statements, etc. The MATLAB implementation of gramm is inspired by the "grammar of graphics" principles (Wilkinson 1999) and the ggplot2 library for R by Hadley Wickham. As a reference to this inspiration, gramm stands for GRAMmar of graphics for MATLAB. A similar library called Seaborn also exists for Python. Gramm has been used in many publications from varied fields and is particularily suited for neuroscience, from human movement psychophysics (Morel et al. 2017), to electrophysiology (Morel et al. 2016; Ferrea et al. 2017), human functional imaging (Wan et al. 2017) and animal training (Berger et al. 2017).

JOELib/JOELib2 is a cheminformatics library which supports SMARTS substructure search, descriptor calculation, processing/filtering pipes, conversion of file formats, 100% pure Java, and interfaces to external programs (e.g. Ghemical) are available.

Java-based scientific graphics with support for Java, Groovy, MATLAB, Python, the R statistical environment, Scala and SciLab.

SPM surfrend toolbox is a suite of scripts that add surface-based rendering capabilities to SPM99/2 generated statistical maps.

Toolboxes for SPM (http://www.fil.ion.ucl.ac.uk/spm/) developed at Freiburg Brain Imaging (http://fbi.uniklinik-freiburg.de/)

Human Machine integration for vessel segmentation has as main objective finding precise methods for the segmentation of blood vessels in retinal images, with the main goal of improving screening and diagnosis procedures.

NF2FF is a MATLAB script, which implements a near field to far field transformation for near field antenna measurement setups.

A MATLAB package for wavelet analysis of circadian rhythms with both discrete (Daubechies) and continuous (Morlet) wavelets, as well as tools for batch processing of multiple time series, all accessible through a graphical user interface.

ATLAS mPBPK is a MATLAb-based tool for modeling and Simulation of minimal Physiology Based Pharmacokinetic (mPBPK) models of small and large molecules. The tool enables the users to perform: i) PK data visualization, ii) simulation, iii) parameter optimization, and iv) local sensitivity analysis (SA) of mPBPK models in a simple and efficient manner.

This is the prototype version of software for robust detecting and segmentation of cell nuclei in 3D fluorescence labeled microscopy images. First release coming soon...

The Databionics ESOM Tools offer many data mining tasks using Emergent Self-Organizing Maps. Visualization, clustering, and classification of high-dimensional data using databionics principles can be performed interactively or automatically.

Obsolete project - archived at https://github.com/darrenleeweber/bioelectromagnetism This is a public release of a Matlab toolbox for working with data from electroencephalography (EEG/ERP) and magnetic resonance imaging (MRI). It contains functions to process and visualize ERP/MRI data and associated electrode positions.

This very configurable script allows you to plot a 3D (MNI space) visualisation of a brain graph, with edges represented by cylinders and vertices represented by spheres. To aid orientation, a cortical mesh can be added, as can convex hull outlines. The colouring and sizing scheme is fully configurable for both edges and vertices. You can see some example output in <http://www.ncbi.nlm.nih.gov/pubmed/22677149> <http://www.ncbi.nlm.nih.gov/pubmed/20541019> <http://www.ncbi.nlm.nih.gov/pubmed/24562717>

Genome Scale Metabolic Networks are complex systems, Modules help to break them down and hence ease understanding and algorithmic complexity. FluxModules is a toolbox with code for module detection and module visualization.

math lib for .NET. n-dim arrays, complex numbers, linear algebra, FFT, sorting, cells- and logical arrays as well as 3D plotting classes help developing algorithms on every platform supporting .NET. Sources from SVN, binaries: http://ilnumerics.net

Commodity class to facilitate interaction between MATLAB and Bitplane Imaris via COM or ICE interface.

KARDIA ("heart" in Greek) is a Matlab software with a graphic user interface designed for the analysis of cardiac interbeat interval data.

This MATLAB-based program enables analysis of AFM images. In particular, it allows the user to measure the volume of all distinguishable features in an image and to isolate and sort those particles. As the name implies, LAVA uses Lloyd's Algorithm, also known as k-means sorting, to identify a small set of volumes representative of the actual distribution of particle in the image. Although developed for determining feature volume, LAVA is also completely compatible with other types of image analysis, such as fluorescence intensity. Work is in progress to provide three-channel functionality, allowing comparison of relative intensity of red, green, and blue channels in multi-color images.

MEX/JNI is a set of bindings between MATLAB and Java using Mathworks' External Interface API and Java Native Interface (JNI).

The MATLAB m.file will export data contained within a 3-D COMSOL mph file to a datafile in the format of an ascii TECPLOT file. The underlying engine for this export is the COMSOL - "LiveLink for MATLAB" module, with Matlab as the manager for the file import and export.

MVPaa has merged into the automatic analysis project on gihub: https://github.com/rhodricusack/automaticanalysis -- MVPaa is a MVPA (Multi-Voxel Pattern Analysis) package made for the automatic analysis (http://www.cambridgeneuroimaging.com/aawiki) package.

Malimpa stands for MAtlab Library for IMage Processing and Analysis. It provides functions for 2D/3D grascale/color image creation, filtering, or measurement. It requires, and complements Matlab Image Processing Toolbox. Important notice: the project is now hosted in GitHub, https://github.com/dlegland/matImage