Open Source Data Visualization Software - Page 97
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Data Visualization Software
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SatelliteToolbox.jl
A toolbox for satellite analysis written in julia language
The SatelliteToolbox.jl contains a set of packages with functions to perform analysis and build simulations related to satellites. It is used on a daily basis on projects at the Brazilian National Institute for Space Research (INPE). -
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A plotting (chart) library for .NET. Provides the ability to create plots with a minimum of effort and also to customise them extensively where required.
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A basic ray tracer written in the Scala language. Features includes photon mapping and a frontend written in Groovy. Planed features are volumetric lighting and shadow photons.
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Scenario Editor And Visualizer
Scenario Editing and Visualization tool for Scientific scenes
Software Assistive Systems supporting visualization, simulation with aid of virtual reality could possibly enhance the experience and thereby enhance the speed and characteristics of the learning process. For the inclusive systems this means to make the best use of all interfaces human beings are blessed with taken from visualization, touch, voice, smell and taste. The right blend between visualization, simulation and virtual reality could hold the key to a solution. With reduced costs and processing power available and availability of experimentation platforms could hold the key to an enchanting learning experience. The first step is an editing and visualization tool. Described in paper http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6629931&refinements%3D4278371973%26queryText%3DGlobal+Humanitarian+Technology+Conference%3A+South+Asia+Satellite+.LB.GHTC-SAS.RB.%2C+2013+IEEE#! -
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Scene Beans is an animation framework for Java2D. Scene Beans lets the programmer create animations by composing Java objects in a declarative style and hides the details of exactly how that animation is animated and rendered.
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Schedule Visualization
Tool to visualize and create time-triggered schedules as gant-chart.
The Schedule Visualization tool is based on Eclipse 4 RCP and uses Nebula Gantt charts to visualize schedules. The tool is linked to scheduling and schedule integration algorithms which allow to generate time-triggered schedules and visualizes the calculated schedules. The generated schedule might then be exported to a C header file to update the system schedule. It also supports an online mode using a network monitor to detect if nodes are offline and updates its status in the visualization, e.g., for fault-tolerant systems. The tool expects an XML-based description for the system specification and allows to export generated schedules as XML. -
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Schematic3d depicts analog circuits in three dimensional space. Third dimension for circuit element is added based on the voltage. It generates animation for transient simulation. (Values of voltages are taken from PSPICE software).
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SciChart
Interactive Swing based Charting library to display science data
This free charting library supporting in the initial version line plot and bar plots. Provides: Axis sharing independent rescaling and panning of axis and datasets. Basic tooltips Legend displayer component with ability to select the active dataset. It is designed upon the Model View Controller paradigm. This mean that the dataset related API is abstracted in a model. This model is used by the swing components. Display related functionality is limited to the swing components with no interaction with the model. -
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The SciDatVis library provides a software layer that allows abstract definitions of scientific data graphs in C++ for visualization.
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Urbigene contains SciFOAF and MyFOAFExplorer, two tools used to build a scientific FOAF network from NCBI pubmed and to browse it.
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SciML Style Guide for Julia
A style guide for stylish Julia developers
The SciML Style Guide is a style guide for the Julia programming language. It is used by the SciML Open Source Scientific Machine Learning Organization. As such, it is open to discussion with the community. If the standard for code contributions is that every PR needs to support every possible input type that anyone can think of, the barrier would be too high for newcomers. Instead, the principle is to be as correct as possible to begin with, and grow the generic support over time. All recommended functionality should be tested, and any known generality issues should be documented in an issue (and with a @test_broken test when possible). However, a function that is known to not be GPU-compatible is not grounds to block merging, rather it is encouraged for a follow-up PR to improve the general type support. -
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SciMLBenchmarks.jl
Benchmarks for scientific machine learning (SciML) software
SciMLBenchmarks.jl holds webpages, pdfs, and notebooks showing the benchmarks for the SciML Scientific Machine Learning Software ecosystem. -
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SciMLTutorials.jl
Tutorials for doing scientific machine learning (SciML)
SciMLTutorials.jl holds PDFs, webpages, and interactive Jupyter notebooks showing how to utilize the software in the SciML Scientific Machine Learning ecosystem. This set of tutorials was made to complement the documentation and the devdocs by providing practical examples of the concepts. For more details, please consult the docs. To view the SciML Tutorials, go to tutorials.sciml.ai. By default, this will lead to the latest tagged version of the tutorials -
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An open source program that has the ability to graph data collected from scientific experiments. It will fit a variety of linear and non-linear regressions to data and will have the ability to save and print graphs.
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A web-driven database for 2-D and 3-D images, specifically designed for (confocal) microscopy units, but applicable wherever groups of users collaborate with images.
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ScientificTypes.jl
An API for dispatching on the "scientific" type of data
This package makes a distinction between machine type and scientific type of a Julia object. The machine type refers to the Julia type being used to represent the object (for instance, Float64). The scientific type is one of the types defined in ScientificTypesBase.jl reflecting how the object should be interpreted (for instance, Continuous or Multiclass). -
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ScikitLearn.jl
Julia implementation of the scikit-learn API
The scikit-learn Python library has proven very popular with machine learning researchers and data scientists in the last five years. It provides a uniform interface for training and using models, as well as a set of tools for chaining (pipelines), evaluating, and tuning model hyperparameters. ScikitLearn.jl brings these capabilities to Julia. Its primary goal is to integrate both Julia- and Python-defined models together into the scikit-learn framework. -
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Assists in creating 3d scratch holograms (aka abrasion holograms or chatoyant holograms). They can be created on acrylic or metal sheets using only an adjustable compass as described on Bill Beaty's website: http://www.eskimo.com/~billb/amateur/holo1.htm
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ScreeningAssistant 2 is a modular software dedicated to perform various simple and advanced chemoinformatics analysis around chemical libraries.
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SemaVis (Flex UI)
Semantics Visualization for Information Visualization and Analysis
Semantics Visualizations enable understanding complex matters in an easy way. The research group “Semantics Visualization” is working on processing, enriching, and visualizing any kind of semantic data to provide visually discoverable information. Thereby processes of knowledge acquisition, human information retrieval, and decision making are supported by a variety of interactive visual representations. The developed visualizations do not only allow to investigate the masses amount of various semantic formats on Web, e.g. Linked- Data or Social Networks, they also enable the interactive illustration of structured data. With SemaVis we developed a technology that provides various perspectives on the semantics of information. By combining different visualization techniques users and enterprises are able to perceive various data and information characteristics. SemaVis enables a facilitate human access to the “Internet of Data”. -
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Semagrams.jl
A graphical editor for graph-like structures
A graphical editor for graph-like structures based on Catlab. Legacy version built with typescript is in the legacy branch, and will not receive updates; new version with scala is now in the main branch. The core of Semagrams is just a library; in order to make it do things, one needs to create an "app" that uses it. Currently, the only app that is being developed is a Petri net editor, though this will soon change. In order to run the Petri net editor standalone, install Mill and npm, and then in one terminal in scala/ run mill --watch apps.petri.fullLinkJS and in another terminal in scala/ run npm run dev. The second command should print out a url that you can click on. You may have to run npm install before running npm run dev. -
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** IMPORTANT NOTICE ** 10 Feb 2006 Code is being moved to the SMI subversion repository (http://smi-protege.stanford.edu/svn/owl/trunk/) Project will continue to be open source. ProtegeOWL info at: http://protege.stanford.edu/overview/protege-owl.html
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Microcontroller (AVR) based standalone digital light controllers ("dimmers"). The "Diamond" series supports 20 channels (TRIAC, FET, 0-10V, relay) with automatic fading, 20 scenes, 21 timers, IR remote, LCD, DMX-512 interface, global standby & more.
