Open Source Data Visualization Software - Page 93

Description Reveal Desktop is a web 2.0 data entry tool applicable for archaeological or other types of hierarchical relationships. Is makes use of the following open source tools and frameworks. Extjs 3.3 qwikiOfice php 5+ apache2 mysql

RF laboratory tools

RITCode is an analysis tool for captured eye tracker video files. It allows the scientist to analyze eye movements and characteristics of the scene. It has been created by the Rochester Institute Of Technology Visual Perception Lab.

A visualization and design tool for RNA secondary structure

Very basic RRDtool tutorial. It is an example in that way. It can save you a couple of days of discovering on your own. In any case you have to read the manual _before_ that ;)

RadDoom is a radiosity scene renderer that use "Dynamic Surface Subdivision". It's write in Java and Java3D. It enables, in real time, the user to travel in the 3D scene during rendering.

RadianceML aims to integrate the Radiance lighting simulation system into XML environments. A set of XSL transformations is used to import and export native Radiance scenes, a schema to validate scenes and use XML-editors.

A simple, yet extensible raytracer. Especially useful to learn different rendering techniques.

Random number generator, and random number seed generator classes for C++. Includes abstract base classes and derived generators. Cross platform compatible.

Rapid Visual OAI Tool (RVOT) can be used to graphically construct a OAI-PMH repository from a collection of files. The records in the original collection can be in any one of the acceptable format. The format currently supported are RFC1807,Marc,COSATI

RasCtrl is an ActiveX control for visualizing proteins and motifs. It provides not only functions to visualize proteins but also functions to visualize and manipulate motifs, which have conserved spatial arrangements across a group of proteins.

Seems to be closely related to Cellular automaton, except this creates a complex pattern from a mathematical function you input. See website for examples/live applets. This program makes use of an old GPL version of the JEP equation parser.

3D real-time framework designed for rapid prototyping and interactive environments. Using Lua as the high-level access point to the engine and component-based entities, one only needs to alter scripts to create an interactive environment, like a game.

Inspired by and built on top of open-source projects. RAWGraphs is open to the community for contributions. Almost 30 visual models to visualize quantities, hierarchies, and time series and find insights in your data. Even though RAWGraphs is a web app, the data you insert will be processed only by your web browser. Save your project, or export it as a vector or raster image. Edit it within your favorite software. RAWGraphs is an open source data visualization framework built with the goal of making the visual representation of complex data easy for everyone. Primarily conceived as a tool for designers and vis geeks, RAWGraphs aims at providing a missing link between spreadsheet applications (e.g. Microsoft Excel, Apple Numbers, OpenRefine) and vector graphics editors (e.g. Adobe Illustrator, Inkscape, Figma). The project, led and maintained by the DensityDesign Research Lab (Politecnico di Milano) was released publicly in 2013.

RayLab is a simple, portable ray tracer for producing 3D images. It uses a custom text-based scene description language, and supports several mathematical shapes, as well as CSG operations (constructive solid geometry).

This package was written in the early days of Flux / Zygote. Both these packages have significantly improved over time. Unfortunately, the current state of this package of has not been updated to reflect those improvements. It also seems that it might be better to gradually transition to defining the adjoints directly using ChainRules. A Ray Tracer written completely in Julia. This allows us to leverage the AD capabilities provided by Zygote to differentiate through the Ray Tracer.

This software system serves as both a DICOM image viewer as well as a diagramming tool for collaborating notes on the given image sets. This my Computer Science graduate thesis project at Loyola Marymount University.

ReTest is a testing framework for Julia allowing defining tests in source files, whose execution is deferred and triggered on demand. This is useful when one likes to have definitions of methods and corresponding tests close to each other. This is also useful for code that is not (yet) organized as a package, and where one doesn't want to maintain a separate set of files for tests. Filtering run testsets with a Regex, which is matched against the descriptions of testsets. This is useful for running only part of the test suite of a package. For example, if you made a change related to addition, and included "addition" in the description of the corresponding testsets, you can easily run only these tests.

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.

Reachability analysis is concerned with computing rigorous approximations of the set of states reachable by a dynamical system. In the scope of this package are systems modeled by continuous or hybrid dynamical systems, where the dynamics change with discrete events. Systems are modeled by ordinary differential equations (ODEs) or semi-discrete partial differential equations (PDEs), with uncertain initial states, uncertain parameters or non-deterministic inputs.

React components for Chart.js, the most popular charting library. With v4, this library introduces a number of breaking changes. In order to improve performance, offer new features, and improve maintainability, it was necessary to break backwards compatibility, but we aimed to do so only when worth the benefit. You will find that any event which causes the chart to re-render, such as hover tooltips, etc., will cause the first dataset to be copied over to other datasets, causing your lines and bars to merge together. This is because to track changes in the dataset series, the library needs a key to be specified. If none is found, it can't tell the difference between the datasets while updating. Specify a different property to be used as a key by passing a datasetIdKey prop to your chart component.

React Sight requires React Dev Tools for reading information about your App. Simply add to Chrome if you don't have it installed. Open your React application, or open (almost!) any website running React! React Sight is a live view of the component hierarchy tree of your React application with support for React Router and Redux. Now with support for Firefox! Hover over nodes to see their state and props in the side panel. Hide DOM elements, Redux components, and Router components with the built-in filters, so that you can focus only on the components you've written. Zoom in by double-clicking, and zoom out by shift + double clicking (mouse wheel zoom coming soon!) We built React Sight because there are no tools on the market that give you a visual representation of the structure of your App. When we were developing our own projects, we wished we had a way to see how everything was structured.

Unfortunately, none of this project's authors have the time/enthusiasm to maintain this project right now. We recommend forking this project, or reading its source to learn how it's built). Graphing tools are often complex, abstract, and heavy. They require domain-specific knowledge and significant time investment. While building rich data visualizations for an analytics app, is a necessary cost. But what if you just need a sparkline that shows a trend? These are very simple and elegant visualizations, and they should not require a bloated graphing library to produce. React Trend is a concrete component that does 1 thing, and does it well, generate these trending graphs. By default, all properties not recognized by React Trend will be delegated to the SVG. The line inherits these properties if none of its own override them.

This small component allows you to integrate an excel-like datasheet. By default, the spreadsheet handles keyboard navigation and copy-pasting of cells. This example computes expression underneath using mathjs. On an invalid expression, the cell changes color to show the error. Note that react-datasheet does not handle the validation nor the formula computation. Custom renderers allow you to add significant new capabilities to your sheets without requiring changes to react-datagrid itself. This example allows you to reorder both the columns and the rows using drag and drop. This is implemented by using custom components to render the main table (including a custom header) and each row. The drag handler for the rows is the gray cell at the beginning of each row. The "Rating" column also shows how to specify custom cell editing and viewing components.

React-vis is a React visualization library. React-vis components are designed to work just like other React components. They have properties, children and callbacks. They can be composed. If you can work with React components, you can work with React-Vis. You can create complex charts with a minimum amount of code and sensible defaults, however, you can also customize every aspect of your chart. React-vis handles a great number of charts, from area charts to treemaps. React-vis was built to support the many internal tools at Uber. You can use react-vis directly on codepen (or equivalent). React-Vis charts are made of Series components, LineSeries, BarSeries and so on and so forth. Each of these Series components requires a data property, through which we pass an array of objects. These properties correspond to various visual characteristics of the corresponding marks. For example, x and y, which are required for most series types, affect the position of each mark.