6 projects tagged "graph-library"
CanvasXpress is a JavaScript library based on the HTML5 canvas tag that provides a generic and simple way to display genomics data. It supports bar graphs, line graphs, bar-line combination graphs, box plots, dot plots, area graphs, stacked graphs, percentage-stacked graphs, correlation plots, Venn diagrams, heat maps, Newick trees, 2D-scatter plots, 2D-scatter bubble plots, 3D-scatter plots, pie charts, networks (or pathways), and a genome browser. It also supports a few data transformations like log and exponential transformation, z-score, percentile transformation, and ratio. It also supports grouping of samples, zooming, events, and more.
Active Graphs and Charts allows you to add reporting features to your Web / intranet pages and applications. The graphing software is completely self-contained within a single file, making this an ideal solution for the incorporation of graphs and charts into Web / intranet pages and applications. Versatile components provide the ability for Web authors and developers to easily build and publish dynamic and interactive graphs and charts. There is no complicated server side set up or install; simply upload the single JavaScript file to the Web server. There are many configurable graph features and functions and as such, the documentation and examples are designed to give both a full understanding of every feature and enable you to implement both the applet and servlet quickly and easily. The series of examples gives an overview of the variety of implementations possible The software can acquire data from a variety of sources, including files, databases, scripts and server-side processes (e.g. servlets, JSP, ASP, PHP, and Perl), and embedded HTML parameters.
GraphInsight is visualization software that lets you explore graph data through high quality interactive representations. Data exploration and knowledge extraction from graphs is of great interest nowadays: knowledge is disseminated in social networks, and services are powered by cloud computing platforms. Data miners deal with graphs every day. Humans are extremely good at identifying patterns and outliers. Interacting visually with your data can give you better intuition and higher confidence in what you are looking for.
The Arakhnê.org Network Editor (NetEditor) is a Java component that permits you to edit and show connected graphs. The graph defines the constructs of a visual language, and NetEditor is able to render associated figures. NetEditor is based on a metamodel composed of the node, edge, and anchor (or ports) constructs. It has a strong separation of the visual-language constructs and the drawings. It provides tools to code graph-drawing layout algorithms. Two algorithms are provided: Ganswer-Sugiyama and Coulomb-Hooke force-based algorithms. Standard UI features are provided: graphical editing of the graph structure, depth levels for nodes and edges, undo, and redo, clipboard, and drag and drop management. The NetEditor API is able to export the graphs to GIF, JPEG, PNG, BMP, SVG, PDF, EPS, PDF, Graphviz DOT, GXL and GraphML. The document file formats used by NetEditor are GXL, GraphML, or NGR files (zipped GXL/GraphML).