Open Source Windows Data Visualization Software - Page 28
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Data Visualization Software for Windows
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ApplicationBuilder.jl
Compile, bundle, and release julia software
Turn your Julia program into a standalone, distributable, statically-compiled "App". ApplicationBuilder compiles a Julia program and bundles it up into a distributable application, on macOS, Windows and Linux! After building, your users can download your application and run it without having Julia installed. -
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Arcadia is a light-weight, cross-platform, C++ desktop application designed for visualizing biological networks such as metabolic pathways.
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Arduino LCD Character Composer
Arduino LCD Character Composer
Create new character for your Arduino LCD project. -
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Acre calculates growing-space or stand-density of trees and creats pictures of it. It can also be used to calculate weighted Voronoi-Diagrams (splits up an area to the neares point or to the point with the greatest influence at a certain place).
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ArgCheck.jl
Package for checking function arguments
Package for checking function arguments. @argcheck code is as fast as @assert or a hand written if. That being said it is possible to erase argchecks, much like one can erase bounds checking using @inbounds. This feature is currently experimental. It may be silently changed or removed without increasing the major ArgCheck version number. -
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ArgParse.jl
Package for parsing command-line arguments to Julia programs
ArgParse.jl is a package for parsing command-line arguments to Julia programs. -
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ArrayFire.jl
Julia wrapper for the ArrayFire library
ArrayFire is a library for GPU and accelerated computing. ArrayFire.jl wraps the ArrayFire library for Julia, and provides a Julia interface. Install ArrayFire library: either download a binary from the official site, or you can build from source. -
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Arrow Julia
Official Julia implementation of Apache Arrow
This is a pure Julia implementation of the Apache Arrow data standard. This package provides Julia AbstractVector objects for referencing data that conforms to the Arrow standard. This allows users to seamlessly interface Arrow formatted data with a great deal of existing Julia code. -
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Arrows
SW for creation of arrows and ellipses shapefiles for GIS
SW for creation of arrows and ellipses shapefiles for visualization of vectors error ellipses etc. Input is structured text file. Output is shapefile (open specification from ESRI). Shapefile is widely used in GIS SW. -
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AGISim is a framework for the creation of virtual worlds for artificial intelligence research, allowing AI and human controlled agents to interact in realtime within sensory-rich contexts. AGISim is built on the Crystal Space 3D game engine.
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ArviZ.jl
Exploratory analysis of Bayesian models with Julia
ArviZ.jl (pronounced "AR-vees") is a Julia package for exploratory analysis of Bayesian models. It includes functions for posterior analysis, model checking, comparison and diagnostics. -
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a filter to convert ASCII data files into binary SILO files to use with the MeshTV visualization package.
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is a molecular viewer & model builder for quantum chemistry programs. It has an interface with NWChem, CP2K and PC GAMESS/Firefly quantum programs. http://www.biomolecular-modeling.com/Products.html
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AsphaltOpen is a project to visualize data collected during road asphalting operations. Asphalt contractors can use the software to visualize their operations, learn from the visualizations, and improve their processes continually.
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A Java application used in whole genome analysis to display SNPs in a genomic context. Supplementary data is downloaded from various public data sources on the fly and saved locally in a cache. Custom data can be added as supplementary tracks.
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AstroPictureSimulator
Simulate sensor output of astro pictures taken by telescope
This project aims at visualizing what a picture of a star will look like, depending on telescope, seeing conditions, settings of your astro camera etc. It simulates taking exposures of stars over a range of magnitudes and stacks them. -
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The primary objective of the project is the development of a Second Life based application, in which astrophysics phenomena involving the simulation of stars kinematics can be visualized. Developed by NII, Japan.
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Atavi is an interactive genealogical data visualization tool. It uses XSLT to transform XML data into SVG (Scable Vector Graphics) images. Deploy it as a Java servlet and explore visualizations from a browser that supports SVG. GEDCOM import is planned.
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Atheris
Open-source traffic analyzer / visualizer
Finally, the binary release of the version 0.2.5 is out. Now, Atheris comes with an extensible, modular plug-in architecture, i.e. you can easily write your own graphical analyzer for Atheris. The documentation on how to write you own analyzer will follow in the next days. If you are running a non Debian-based Linux, download the zip file and follow the instructions in the README file. If you have problems, want to contribute your code or have some special needs, let us know and send an email to philipp.eittenberger(Ätt)uni-bamberg.de (If you want the source code of version 0.2.3 and compile Atheris yourself check it out with svn per: "svn co https://atheris.svn.sourceforge.net/svnroot/atheris/trunk atheris") -
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AtoModel takes a datafile describing the positions of atoms and draws them to the screen in a window. You can rotate the model in 3-D. Options for coloring the atoms are availiable.
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AtomVox is an OpenGL accelerated terrain engine, which based on a 6dof Voxel landscape algorithm. Fast raycasting and segmentation algorithms. Optimized core-code .
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Library for algorithms of Augmented Reality with a application to demonstrate it. Programmed in C/C++ and OpenGL.
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AugmentedGaussianProcesses.jl
Gaussian Process package based on data augmentation, and sparsity
AugmentedGaussianProcesses.jl is a Julia package in development for Data Augmented Sparse Gaussian Processes. It contains a collection of models for different gaussian and non-gaussian likelihoods, which are transformed via data augmentation into conditionally conjugate likelihood allowing for extremely fast inference via block coordinate updates. There are also more options to use more traditional variational inference via quadrature or Monte Carlo integration.
