Open Source MATLAB Data Visualization Software

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 R2025a. For a complete list of new features, compatibility changes, and bug fixes, see the R2025a 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.

# Satellite Power Analysis Tool (SPAT) The tool was originally created to aid during the Satellite Power System design process, however it has evolved to a Satellite Missoin design tool. The user defines the mission and the Satellite design paramenters and, the tool will output: - Power analysis - Battery charge/discharge analysis - Link budget - Ground track coverage - Ground station visibility SPAT has been developed in MATLAB and MCR (Matlab runtime) is required. SPAT is pre-compiled and currently available for MacOS and Windows email: aitorvs(AT)gmail.com

CS-Miner stands for Chemical Space Miner and is a software tool for navigating in chemical space of compound databases. It helps for deriving appropriate classification models and performing virtual screening. Download it via: http://csminer.com/csm/?p=7 A quick tutorial is available through: http://csminer.com/csm/?p=8

Reconstruction and Visualization from a Single Projection (ReViSP) tool: a 3D volume rendering method we developed to reconstruct the 3D shape of multicellular spheroids, besides estimating the volume by counting the voxels (3D pixels) fully included in the 3D surface. ReViSP is written in MATLAB (The MathWorks, Inc., Massachusetts, USA) and the source code is freely provided. Requirements for running ReViSP from the source code: MATLAB 2020a and Image Processing Toolbox 11.1 or later versions. Please, when using this software, cite these articles: (a) F. Piccinini, et al., Cancer multicellular spheroids: Volume assessment from a single 2D projection. Computer Methods and Programs in Biomedicine, 118(2):95–106, 2015. (b) F. Piccinini, et al., Single-image based methods used for non-invasive volume estimation of cancer spheroids: a practical assessing approach based on entry-level equipment. Computer Methods and Programs in Biomedicine, 135:51-60, 2016.

Overhead Imagery Research Data Set (OIRDS) - an annotated data library & tools to aid in the development of computer vision algorithms

Reconstruction and Visualization from Multiple Sections (ReViMS), an open-source, user-friendly software for automatically estimating volume and several other features of 3D multicellular aggregates (i.e., cancer spheroid, zebrafish, fruit fly). ReViMS requires a z-stack of 2D binary masks, obtained by segmenting a sequence of fluorescent images acquired by scanning the aggregate along the z axis, using a confocal or a light-sheet fluorescent microscope. It provides a number of tools for: (a) segmenting z-stacks of fluorescence images; (b) reconstructing the 3D surface of the aggregates and estimating several features (including the volume). ReViMS is written in MATLAB (The MathWorks, Inc., Massachusetts, USA). It is an open-source tool and the source code is freely available at: http://sourceforge.net/p/revims Requirements: MATLAB R2017b and Image Processing Toolbox 10.1 or later versions.

Orbit Wizard is an educational open source tool developed in Matlab GUIDE for the design and visualization of geocentric orbits. The current version is in an early phase of development. Please employ the Orbit Wizard forum to report bugs and suggestions. The developers of Orbit Wizard are Álvaro Romero Calvo and Fernando Soler Lanagrán. Orbit Wizard is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License v2.0 External references: M_Map: https://www.eoas.ubc.ca/~rich/map.html Wikimedia: https://upload.wikimedia.org/wikipedia/commons/thumb/c/cd/Land_ocean_ice_2048.jpg/1024px-Land_ocean_ice_2048.jpg

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.

Matlab tool for plotting multi-channel biomedical signals. It is designed for researchers on both engineering and medicine who have to collaborate to visualize and analyze signals. It is the ideal tool to plot electroencephalogram (EEG), Foetal Heart Rate (FHR) and many other signals with the standard tools used in clinical routine.

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

Root Estimator for Shovelomics Traits (REST) is a software developed for an automated or semi automated high-throughput analysis of root system traits form high quality RGB pictures. Standardized image acquisition is strongly recommended and briefly described in the manual which you can get here for free http://plantscience.psu.edu/research/labs/roots/publications/overviews/next-generation-shovelomics-set-up-a-tent-and-rest

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.

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

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.

A handle graphics package for Octave, the Free alternative to matlab. OctPlot provides quality postscript(TM) and screen graphics.

SSLTool is a Matlab based toolbox for bioelectromagnetic data (EEG/MEG) visualization, surface Laplacian calculation and modeling. It can compute surface Laplacian on realistic head surfaces given by a triangular mesh. It has a friendly GUI.

This toolkit allows complete control of a microscopy setup from Labview, Matlab, Scilab, Python, .Net, VB, IgorPro, Mathematica and more. Included is a standalone program for image acquisition and scripting control of a scientific microscope.

The purpose of this project is to implement a java program that can show/edit Neural Network objects made in matlab.

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.

A tool to register and superpose CTF MEG SAM(g2) result and MRI image into one gray-level image.

CDS plots and analyzes output from numerical climate models. It is capable of comparing climate model simulations and/or observational data. It consists mostly of a series of MathWorks Matlab language scripts and reads data in NetCDF format.

Visualization and clustering analysis of X-Ray diffraction data from combinatorial thin film libraries.