Data Visualization

DSS covers scenarios including data exchange, desensitization/cleansing, analysis/mining, quality measurement, visualization, task scheduling and data exporting

Data acquisition and visualization system

Visualizing Enterprise Data in JavaFX

Data acquisition and visualization system

Data acquisition and visualization system

Data acquisition and visualization system

Data acquisition and visualization system

Data acquisition and visualization system

Glimpse is a library for building dynamic, interactive Java applications for visualizing Big Data.

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

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

Ambrose is a platform for visualization and real-time monitoring of data workflows, supporting various runtimes such as Apache Pig.

Ambrose is a platform for visualization and real-time monitoring of data workflows, supporting various runtimes such as Apache Pig.

Ambrose is a platform for visualization and real-time monitoring of data workflows, supporting various runtimes such as Apache Pig.

ELKI - 3D Parallel Coordinate Trees Visualization – Open-Source Data-Mining Framework with Index Acceleration

Test code for visualizing a Trie. Seperated so that projects can use the JUNG visualization against their actual production data

Data lineage visualization for Apache Spark

kravis is a Kotlin wrapper around ggplot2 to enable data visualization on the JVM

Data lineage visualization for Apache Spark

Data Lineage Tracking And Visualization Solution

Data Lineage Tracking And Visualization Solution

Data lineage visualization for Apache Spark

Data Lineage Tracking And Visualization Solution

Data lineage visualization for Apache Spark

Data Lineage Tracking And Visualization Solution

Data lineage visualization for Apache Spark

Data lineage visualization for Apache Spark

Data Lineage Tracking And Visualization Solution

Data Lineage Tracking And Visualization Solution

Data Lineage Tracking And Visualization Solution

Data lineage visualization for Apache Spark

Data lineage visualization for Apache Spark

Data Lineage Tracking And Visualization Solution

Data Lineage Tracking And Visualization Solution

Data Lineage Tracking And Visualization Solution

NodeBox is a cross-platform, node-based GUI for efficient data visualizations and generative design.

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.

Visualizing Enterprise Data in JavaFX

Visualizing Enterprise Data in JavaFX

ANNIS is an open source, versatile web browser-based search and visualization architecture for complex multilevel linguistic corpora with diverse types of annotation. ANNIS, which stands for ANNotation of Information Structure, has been designed to provide access to the data of the SFB 632 - "Information Structure: The Linguistic Means for Structuring Utterances, Sentences and Texts". Since information structure interacts with linguistic phenomena on many levels, ANNIS addresses the SFB's need to concurrently annotate, query and visualize data from such varied areas as syntax, semantics, morphology, prosody, referentiality, lexis and more. For projects working with spoken language, support for audio / video annotations is also required.

Data acquisition and visualization system

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.

D3.js is a JavaScript library for manipulating documents based on data. D3 helps you bring data to life using HTML, SVG, and CSS. D3’s emphasis on web standards gives you the full capabilities of modern browsers without tying yourself to a proprietary framework, combining powerful visualization components and a data-driven approach to DOM manipulation.

Glimpse is a library for building dynamic, interactive Java applications for visualizing Big Data.

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

IHMCRobotDataVisualizer

ANNIS is an open source, versatile web browser-based search and visualization architecture for complex multilevel linguistic corpora with diverse types of annotation. ANNIS, which stands for ANNotation of Information Structure, has been designed to provide access to the data of the SFB 632 - "Information Structure: The Linguistic Means for Structuring Utterances, Sentences and Texts". Since information structure interacts with linguistic phenomena on many levels, ANNIS addresses the SFB's need to concurrently annotate, query and visualize data from such varied areas as syntax, semantics, morphology, prosody, referentiality, lexis and more. For projects working with spoken language, support for audio / video annotations is also required.

ANNIS is an open source, versatile web browser-based search and visualization architecture for complex multilevel linguistic corpora with diverse types of annotation. ANNIS, which stands for ANNotation of Information Structure, has been designed to provide access to the data of the SFB 632 - "Information Structure: The Linguistic Means for Structuring Utterances, Sentences and Texts". Since information structure interacts with linguistic phenomena on many levels, ANNIS addresses the SFB's need to concurrently annotate, query and visualize data from such varied areas as syntax, semantics, morphology, prosody, referentiality, lexis and more. For projects working with spoken language, support for audio / video annotations is also required.

ANNIS is an open source, versatile web browser-based search and visualization architecture for complex multilevel linguistic corpora with diverse types of annotation. ANNIS, which stands for ANNotation of Information Structure, has been designed to provide access to the data of the SFB 632 - "Information Structure: The Linguistic Means for Structuring Utterances, Sentences and Texts". Since information structure interacts with linguistic phenomena on many levels, ANNIS addresses the SFB's need to concurrently annotate, query and visualize data from such varied areas as syntax, semantics, morphology, prosody, referentiality, lexis and more. For projects working with spoken language, support for audio / video annotations is also required.