Open Source Data Visualization Software - Page 74

Julia module for reading MATLAB files. Read and write MATLAB files in Julia. This library can read MATLAB .mat files, both in the older v4/v5/v6/v7 format, as well as the newer v7.3 format.

The Macro Agent Transport Event-based Simulator (MATES) is intended to efficiently investigate the behavior of distributed agent based systems over mobile ad hoc networks (MANETs). MATES provides an expandable environment for agent-based system testing.

The MATLAB.jl package provides an interface for using MATLAB® from Julia using the MATLAB C api. In other words, this package allows users to call MATLAB functions within Julia, thus making it easy to interoperate with MATLAB from the Julia language. You cannot use MATLAB.jl without having purchased and installed a copy of MATLAB® from MathWorks. This package is available free of charge and in no way replaces or alters any functionality of MathWorks's MATLAB product.

Shell-scripts for the conversion & visualization of time series in raw MBDyn-ASCII-output format resulting from MBDyn multi-body-system simulations . Forms a minimalistic interface to make post-processing of MBDyn-bulk-data easier and more comfortable.

MCDfit: A spectroscopic tool for Multiple Curve Deconvolution and fitting. It is a plotting program for analysis rather than presentation. It can be used for fitting Magnetic Circular Dichroism (MCD) spectroscopy. It uses the Qt, Qwt, Qwtplot3d libraries

MCNPydE is a Python library for extracting data from MCNP output file. It requires Python, Matplotlib and Numpy. It is a data reduction tool for MCNP output for ease of results analysis and viewing.

[OBSOLETE, check Github repository: https://github.com/LBT-CNRS/MDDriver) MDDriver is a library allowing a user to easily couple molecular visualisation tools with simulation code through a network. It allows to carry out interactive molecular dynamics, visualize simulation results and drive a simulation in interactive time.

Mainly a browser for medical patients documents. For now, it works for displaying radiology images in DICOM format. It supports Query/Retrieve. Build on Python, wxPython and ZODB.

MEM Net - Mote EMulator Network. This project will focus on: 1) MEM - Wireless Sensor Node (mote) emulator 2) MEM Net - network of emulated motes So far, the only released package is “visual-sim-slides”. More comming next !

MERRYts is the Most Efficient Reader for Representing Your Terminology System. One GUI for all (medical) Terminology Systems

The METAR Repository or simply metarr is a web-mapping service, capable of gathering and visualizing METARs (meteorological aviation routine weather reports). So aeronautical weather information becomes browseable on a map, even for "METAR-illiterate"

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

A High-Order Multi-Variate Approximation Scheme for Arbitrary Data Sets, C implementation of the method described in http://web.mit.edu/qiqi/www/paper/interpolation.pdf, with Python and Fortran interfaces.

MIRT.jl is a collection of Julia functions for performing image reconstruction and solving related inverse problems. It is very much still under construction, although there are already enough tools to solve useful problems like compressed sensing MRI reconstruction. Trying the demos is a good way to get started. The documentation is even more still under construction.

MITO Leap Motion Fork is a fork of the Medical Imaging TOolkit. It integrate the Leap SDK so that you can interact with the application using hand gestures.

MIVF - Medical Imaging and Visualization Factory, is a framework for medical applications. It supplies a platform, in which image processing and 3D visualization algorithms can be employed as reusable components (functional modules or plugins).

This package is designed to be the end-user facing front-end to all the data related functionality that is spread out across the JuliaML ecosystem. Most of the following sub-categories are covered by a single back-end package that is specialized on that specific problem. Consequently, if one of the following topics is of special interest to you, make sure to check out the corresponding documentation of that package.

Repository for developers that provides core functionality for the MLJ machine learning framework. MLJ is a Julia framework for combining and tuning machine learning models. This repository provides core functionality for MLJ.

MLPlot is a lightweight plotting library written in Java. It produces vector graphics in the SVG format but can also save EPS, JPG, PNG,..(if convert and inkscape are installed). The goal is to imitate MATLAB's 2D plotting functionality.

MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML. MMdnn is a comprehensive and cross-framework tool to convert, visualize and diagnose deep learning (DL) models. The "MM" stands for model management, and "dnn" is the acronym of deep neural network. We implement a universal converter to convert DL models between frameworks, which means you can train a model with one framework and deploy it with another. During the model conversion, we generate some code snippets to simplify later retraining or inference. We provide a model collection to help you find some popular models. We provide a model visualizer to display the network architecture more intuitively. We provide some guidelines to help you deploy DL models to another hardware platform.

MOMOSE: Mobility Models Simulation Environment, a highly flexible and easily extensible environment for the simulation of mobility models.

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.

This project is a tool for beginners to understand why a MPI program works or doesn't. It aims simple MPI codes, with a modest number of Processes. It is a real time view of an executing code, providing help even when the program deadlocks.

mpiGL is an API that lets compute nodes output graphical results using the openGL language. A graphical server in the MPI universe holds the actual screen, and receives MPI messages packaging openGL commands from the compute slaves.