Visualization APIs

Dolphin Scheduler is a distributed and easy-to-expand visual DAG workflow scheduling system, dedicated to solving the complex dependencies in data processing, making the scheduling system out of the box for data processing.

Dolphin Scheduler is a distributed and easy-to-expand visual DAG workflow scheduling system, dedicated to solving the complex dependencies in data processing, making the scheduling system out of the box for data processing.

Dolphin Scheduler is a distributed and easy-to-expand visual DAG workflow scheduling system, dedicated to solving the complex dependencies in data processing, making the scheduling system out of the box for data processing.

Dolphin Scheduler is a distributed and easy-to-expand visual DAG workflow scheduling system, dedicated to solving the complex dependencies in data processing, making the scheduling system out of the box for data processing.

Dolphin Scheduler is a distributed and easy-to-expand visual DAG workflow scheduling system, dedicated to solving the complex dependencies in data processing, making the scheduling system out of the box for data processing.

Gephi - The Open Graph Viz Platform

This library makes it easy to implement a Visualization data source so that you can easily chart or visualize your data from any of your data stores. The library implements the Google Visualization API wire protocol and query language. You therefore need write only the code required to make your data available to the library in the form of a data table. This task is made easier by the provision of abstract classes and helper functions.

Dolphin Scheduler is a distributed and easy-to-expand visual DAG workflow scheduling system, dedicated to solving the complex dependencies in data processing, making the scheduling system out of the box for data processing.

JUNG the Java Universal Network/Graph Framework--is a software library that provides a common and extendible language for the modeling, analysis, and visualization of data that can be represented as a graph or network. It is written in Java, which allows JUNG-based applications to make use of the extensive built-in capabilities of the Java API, as well as those of other existing third-party Java libraries. The JUNG architecture is designed to support a variety of representations of entities and their relations, such as directed and undirected graphs, multi-modal graphs, graphs with parallel edges, and hypergraphs. It provides a mechanism for annotating graphs, entities, and relations with metadata. This facilitates the creation of analytic tools for complex data sets that can examine the relations between entities as well as the metadata attached to each entity and relation. The current distribution of JUNG includes implementations of a number of algorithms from graph theory, data mining, and social network analysis, such as routines for clustering, decomposition, optimization, random graph generation, statistical analysis, and calculation of network distances, flows, and importance measures (centrality, PageRank, HITS, etc.). JUNG also provides a visualization framework that makes it easy to construct tools for the interactive exploration of network data. Users can use one of the layout algorithms provided, or use the framework to create their own custom layouts. In addition, filtering mechanisms are provided which allow users to focus their attention, or their algorithms, on specific portions of the graph.

mXparser is a super easy, rich, fast and highly flexible math expression parser library (parser and evaluator of mathematical expressions / formulas provided as plain text / string). Software delivers easy to use API for JAVA, Android and C# .NET/MONO (Common Language Specification compliant: F#, Visual Basic, C++/CLI). *** If you find the software useful donation or purchase is something you might consider: https://mathparser.org/donate/ *** Online store: https://payhip.com/INFIMA *** Scalar Scientific Calculator, Charts and Scripts, Scalar Lite: https://play.google.com/store/apps/details?id=org.mathparser.scalar.lite *** Scalar Pro: https://play.google.com/store/apps/details?id=org.mathparser.scalar.pro *** ScalarMath.org: https://scalarmath.org/ *** MathSpace.pl: https://mathspace.pl/ ***

VisualVM is a visual tool integrating commandline JDK tools and lightweight profiling capabilities.

VisualVM is a visual tool integrating commandline JDK tools and lightweight profiling capabilities.

Dolphin Scheduler is a distributed and easy-to-expand visual DAG workflow scheduling system, dedicated to solving the complex dependencies in data processing, making the scheduling system out of the box for data processing.

VisualVM is a visual tool integrating commandline JDK tools and lightweight profiling capabilities.

VisualVM is a visual tool integrating commandline JDK tools and lightweight profiling capabilities.

Dashbuilder Renderer for the Google Visualization API

VisualVM is a visual tool integrating commandline JDK tools and lightweight profiling capabilities.

VisualVM is a visual tool integrating commandline JDK tools and lightweight profiling capabilities.

VisualVM is a visual tool integrating commandline JDK tools and lightweight profiling capabilities.

VisualVM is a visual tool integrating commandline JDK tools and lightweight profiling capabilities.

Web application showing build and quality states of Projects in a very visual Wall

NetBeans Visual API

Data lineage visualization for Apache Spark

Java client library to use the IBM Watson APIs

The integration of abego TreeLayout algorithm into NetBeans Visual Library API.

Visual recognition specification for Java

Data lineage visualization for Apache Spark

Apache NetBeans is an integrated development environment, tooling platform, and application framework.

VisualVM is a visual tool integrating commandline JDK tools and lightweight profiling capabilities.

VisualVM is a visual tool integrating commandline JDK tools and lightweight profiling capabilities.

VisualVM is a visual tool integrating commandline JDK tools and lightweight profiling capabilities.

VisualVM is a visual tool integrating commandline JDK tools and lightweight profiling capabilities.

RHQ Metrics is a metrics collection, aggregation, visualization framework.

Data acquisition and visualization system

WorldWind is an open source virtual globe API. WorldWind allows developers to quickly and easily create interactive visualizations of 3D globe, map and geographical information. Organizations around the world use WorldWind to monitor weather patterns, visualize cities and terrain, track vehicle movement, analyze geospatial data and educate humanity about the Earth.

Library for 3D rectangular bin packing

This module contains the Kotlin API for visualization of the Deep Learning models built with the KotlinDL.

Plugin API containing Swagger (https://swagger.io/) API visualization.

This module contains the Kotlin API for visualization of the Deep Learning models built with the KotlinDL.

XLcloud aims to define and demonstrate the principles of HPC as a Service (High Performance Computing) for all those applications that involve highly intensive calculations. XLcloud is designed as a collaborative tool that enables users to work together on highly sophisticated software in the Cloud, thus sidestepping the need for individuals to have to purchase expensive software on their own. XLcloud combines the expertise of companies and academics that are innovative in the field of high performance computer architectures and flow visualization HD/3D and video. While many Internet-based applications are now available on the Cloud, high-performance applications still face a number of technological obstacles before they are cloud ready. For example, high performance applications often need large capacity processing, lots of storage and huge network bandwidth, needs that are difficult to meet in today’s Cloud. In developing HPC as a Service (HaaS), XLcloud has identified the following high performance applications involving research and industrial innovation: * Research environments such as universities or technical institutes where high performance computing is a requirement, * Online game applications, * Online streaming video in real time, * Search engines in real time, * Online three-dimensional imaging for medical use.

Collect, aggregate, and visualize a data ecosystem's metadata

This module contains the Kotlin API for visualization of the Deep Learning models built with the KotlinDL.

Web application showing build and quality states of Projects in a very visual Wall

Data Lineage Tracking And Visualization Solution

JUNG the Java Universal Network/Graph Framework--is a software library that provides a common and extendible language for the modeling, analysis, and visualization of data that can be represented as a graph or network. It is written in Java, which allows JUNG-based applications to make use of the extensive built-in capabilities of the Java API, as well as those of other existing third-party Java libraries. The JUNG architecture is designed to support a variety of representations of entities and their relations, such as directed and undirected graphs, multi-modal graphs, graphs with parallel edges, and hypergraphs. It provides a mechanism for annotating graphs, entities, and relations with metadata. This facilitates the creation of analytic tools for complex data sets that can examine the relations between entities as well as the metadata attached to each entity and relation. The current distribution of JUNG includes implementations of a number of algorithms from graph theory, data mining, and social network analysis, such as routines for clustering, decomposition, optimization, random graph generation, statistical analysis, and calculation of network distances, flows, and importance measures (centrality, PageRank, HITS, etc.). JUNG also provides a visualization framework that makes it easy to construct tools for the interactive exploration of network data. Users can use one of the layout algorithms provided, or use the framework to create their own custom layouts. In addition, filtering mechanisms are provided which allow users to focus their attention, or their algorithms, on specific portions of the graph.

XLcloud aims to define and demonstrate the principles of HPC as a Service (High Performance Computing) for all those applications that involve highly intensive calculations. XLcloud is designed as a collaborative tool that enables users to work together on highly sophisticated software in the Cloud, thus sidestepping the need for individuals to have to purchase expensive software on their own. XLcloud combines the expertise of companies and academics that are innovative in the field of high performance computer architectures and flow visualization HD/3D and video. While many Internet-based applications are now available on the Cloud, high-performance applications still face a number of technological obstacles before they are cloud ready. For example, high performance applications often need large capacity processing, lots of storage and huge network bandwidth, needs that are difficult to meet in today’s Cloud. In developing HPC as a Service (HaaS), XLcloud has identified the following high performance applications involving research and industrial innovation: * Research environments such as universities or technical institutes where high performance computing is a requirement, * Online game applications, * Online streaming video in real time, * Search engines in real time, * Online three-dimensional imaging for medical use.

Data acquisition and visualization system

WorldWind is an open source virtual globe API. WorldWind allows developers to quickly and easily create interactive visualizations of 3D globe, map and geographical information. Organizations around the world use WorldWind to monitor weather patterns, visualize cities and terrain, track vehicle movement, analyze geospatial data and educate humanity about the Earth.

Common Utilities for Java

Cross-platform visual novel engine with a Lua-based scripting language