Open Source JavaScript Data Visualization Software - Page 5

Code base for storing flight information, rendering paths on a zoomable world map and calculating statistics, used to run OpenFlights.org.

An Open DataBase Project developed in Java, PHP and Javascript and using MySQL to enable customized queries in Brazilian Researchers Lattes Database and still providing geographic representation at Google Maps.

Toolkit that acts as a wrapper for several popular visualization tools.

PathwayPointer is a software that can draw omics data on to metabolic pathway map.

Photo album with geographic information. Combines GPS information with image information to create an SVG Geo-Photo album.

A web application that allows vistitors to compare the different online activities of German parties before and while the German Bundestag elections. It shows the relations between the fraction of the distribution of votes and the web 2.0-activities.

This is a standalone HTML/JavaScript application with which a manager can get an estimate of the costs involved with the deploymnent of 1) a conventional network, 2) a network with OSS based servers and 3) a network with OSS based servers and desktops.

PrettyCrime is a webbased crime map visualisation of the crime of Germany's capital city Berlin.

A universal document authoring package for Julia. This is a package for Julia that provides a general framework for writing prose, technical documentation is its focus, though it is general enough to be applied to any kind of written document.

QTnew is a universal Queueing Theory simulator. Different types of serving disciplines, time distributions, routes are supported. Simulation is extremely flexible: any custom simulation can be performed with JavaScript.

A Julia implementation of quaternions. Quaternions are best known for their suitability as representations of 3D rotational orientation. They can also be viewed as an extension of complex numbers. In the JuliaGeometry organization, there is also Octonions.jl package.

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

React Force Graph is a collection of React components for displaying force-directed graph data across 2D, 3D, virtual reality, and augmented reality environments. It provides separate packages with consistent APIs for each visualization mode. Canvas and WebGL rendering are combined with force-based physics for dynamic graph layouts. Users can zoom, pan, drag nodes, and respond to hover or click interactions. Developers can customize node shapes, text, images, link styles, directional particles, geometries, and graph behavior. The components also support dynamic updates, node selection, graph focusing, collision detection, DAG layouts, and advanced visual effects.

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.

SIRS stands for "Smart Indicators for Reflection Support". SIRS is a framework for developing Indicators on top of sensor networks in web-based and ambient environments for data aggregation, information visualization and context adapation.

SPIDR (Space Physics Interactive Data Resource) is a distributed database and application server network, built to select, visualize and model historical space weather data. SPIDR is a web-application and a grid of data mining web-services.

SPX, which stands for Simple Profiling eXtension, is just another profiling extension for PHP. It differentiates itself from other similar extensions as being totally free and confined to your infrastructure (i.e. no data leaks to a SaaS). Very simple to use: just set an environment variable (command line) or switch on a radio button (web request) to profile your script. Thus, you are free of manually instrumenting your code (Ctrl-C a long running command line script is even supported). Using a dedicated browser extension or command line launcher. Multi metrics capable: 22 are currently supported (various time & memory metrics, included files, objects in use, I/O...). Able to collect data without losing context. For example Xhprof (and potentially its forks) aggregates data per caller / callee pairs, which implies the loss of the full call stack and forbids timeline or Flamegraph based analysis.

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.

Semiotic is a data visualization framework combining React & D3. It provides three types of frames XYFrame, OrdinalFrame, NetworkFrame, to deploy a wide variety of charts. XY data i.e. line charts and scatterplots. Categorical data i.e. bar charts, violin plots, parallel coordinates. Topological and network data i.e. flow diagrams, network visualization, and hierarchical views. A guide for creating a line chart, timeseries, difference line, and line percents using XYFrame along with hover behavior, responsive dimensions, and styling. XYFrame takes lines as an object or an array of objects. Each object represents a line. Every object needs a coordinates property with the array of points for that line. The points will be rendered in the order of that array. You can use a key other than coordinates by changing the lineDataAccessor props.

Web service basis of Google Maps distributing information's about photographic collection which is Regional Water Management Board in Cracow possession.

The application „StockNews“ is to offer the possibility to the user to find out about the interaction between news, analyst opinions and stock exchange rates. Statistics and other relevant data about enterprises are available.