- prefuse java toolkit
hierarchies, graphs, timelines, scatterplots
- processing open-source
java-like language for programming images, animation, and sound.
think Flash+++. may or may not be appropriate.
supports parallel coordinates, parallel histograms, graphs/histograms/bar charts, dynamic queries, grids (small multiples), treemaps.
Toolkit Java toolkit
supports Time Series and Scatter Plots
for tables, Node-Link diagrams, Icicle trees and Treemaps for trees,
Adjacency Matrices and Node-Link diagrams for graphs. includes dynamic
queries, double-edge sliders, distortion, etc.
- Specific Tools
Commercial version of Polaris. Trial version downloadable.
- Dimensionality Reduction
requires recent nVidia graphics card
- MDS FSMvis tool from Morrison and Chalmers
- XGvis MDS from AT&T
- Isomap matlab
- LLE matlab
- VxInsight (software from cluster stability paper)
apparently not distributed anymore, talk to me if you want
me to try to get a version made available for us.
- Java: 2D graphics with Java2D, UI components with Swing
- Jazz/Piccolo: toolkits
for zoomable interfaces (successor to Pad++), written in Java
- ZVTM/ZGRViewer Zoomable Visual Transformation Machine, another Java zoomable interface toolkit/viewer
- X Windows:
- XGobi (high-dimensional data) [Tutorial]
- VisDB (pixel-oriented database viz) [no source, no documentation]
- Scientific visualization packages
- vtk: powerful and
heavyweight scientific visualization dataflow toolkit
- OpenDX: powerful and
- OpenGL: extremely powerful and flexible graphics library
- available on all platforms (free version for Unix is Mesa)
- high learning curve
- the "red book"
- GLUT: multiplatform toolkit for handling platform-specific details
- XmdvTool: multivariate
- H3: 3D hyperbolic graphs
- Constellation 2D zoomable graphs [software not available]
infovis toolkit behind Polaris, PipeCleaner (superscalar pipelines) [software not available]
- Geomview: lightweight
- Graph drawing
- Tulip handles large data
strengths: scalability; power; free
weaknesses: complexity/learning curve; installation can be irritating
- graphviz static layouts of small data
strengths: solid and robust (has been available for years); popular; quite easy to use
weaknesses: no interaction, batch only; not scalable (does best with <500, don't try more than 5000); labels hard to read with all but very small graphs
- Large Graph
- yfiles (evaluation version available)
- AiSee (noncommercial/trial version available)
- ILOG JViews commercial
- Tom Sawyer commercial, trial available
- Pajek, Windows-only
- H3, 3D hyperbolic graphs through spanning trees, free for noncommercial use
- stretch started out as class project [software not available]
- protein-protein interaction graphs, student project
See also the InfoVis04
Workshop on InfoVis Software Infrastructures page
- Contests are great resources because they have not only
data, but also tasks and examples of how others have tackled
the problem. See the HCIL Benchmark Repository for a complete list.
- VAST Contests
- VAST Challenge 2009:
internet traffic, social network with geographic component, video.
- VAST Challenge 2008:
Grand challenge: phone records for social network analysis, geotemporal records, wikipedia edit data/history (unstructured text analysis), location tracking (evacuation modelling).
- VAST Contest
2007: Blue Iguanodon:
News stories, blog entries, background info, multimedia materials.
- VAST Contest
News stories, background info, multimedia materials.
- InfoVis Contests
- Other Lists
- Networking project ideas
- Visual Tcpdump:
Tcpdump is a powerful tool that shows all network traffic on a link,
but it can be quite hard to understand what's going on when confronted with
the raw tcpdump output. "Visual tcpdump" would ideally run off
either log file of a past tcpdump session or in realtime with live tcpdump
connection. There are several tasks one might target from this dataset. First,
visually characterizing traffic patterns - for example, showing the
distribution of session lengths or packet types. Second, highlighting
dangerous packets that could occur in a stream - for example, passwords sent
in plain text. Third, characterizing protocols - for example, showing the TCP
window size changes over the course of a session. Some previous knowledge of
networking will be helpful for this project.
- Intrusion Detection:
Noticing that a network is under attack is difficult because of the sheer
volume of benign traffic, and the number of attack methods. The two main tasks
are real-time detection that an attack is occurring, and forensic analysis of
a past attack. There is a publicly
available dataset of network traces with four different simulated attacks
plus a control baseline with no attacks. Previous knowledge of networking and
security issues will be helpful for this project.
One way to map "the Internet" is to consider the structure of the
backbone router interconnections. Bill Cheswick has been keeping archives
of the daily changes in the roughly 100,000 core reachable routers for over
three years. Even the static dataset from a single day is a difficult
challenge to show comprehensibly, and showing growth and changes over time is
an even more interesting problem. The H3
browser for large graphs is a potential resource. This project should be
feasible without previous knowledge of networking.
- More Data
The following books are on reserve in the CS reading room:
- Information Visualization: Perception for Design, Colin Ware
- The Visual Display of Quantitative Information, Edward R. Tufte,
Graphics Press 1983
- Envisioning Information, Edward R. Tufte, Graphics Press 1990
- Visual Explanations, Edward R. Tufte, Graphics Press 1997
- Readings in Information Visualization: Using Vision To Think;
Card, Mackinlay, and Shneiderman, eds; Morgan Kaufmann 1999.
- The Visualization Toolkit, 3rd edition; Schroeder, Martin and
Lorensen; Kitware Inc, 2004.
- Functional Color,
- Well-Formed Data, Moritz Stefaner
- Eager Eyes, Robert Kosara
- Visual Business
Intelligence, Stephen Few
- infovis wiki, Vienna
- information aesthetics, Andrew Vande Moere
complexity, Manuel Lima
- infovis.net newsletter, Juan C. Durstler
- Visuale, Enrico Bertini
- Statistical Graphics, Martin Theus
- heerforce one, Jeff Heer
- Information Wants to be Seen, TJ Jankun-Kelly
- Atlas of
Cyberspaces, Martin Dodge
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Last modified: Mon Apr 5 20:58:10 PDT 2010