Open Source Java Data Visualization Software

TurboVNC is a high-performance, enterprise-quality version of VNC based on TightVNC, TigerVNC, and X.org. It contains a variant of Tight encoding that is tuned for maximum performance and compression with 3D applications (VirtualGL), video, and other image-intensive workloads. TurboVNC, in combination with VirtualGL, provides a complete solution for remotely displaying 3D applications with interactive performance. TurboVNC's high-speed encoding methods have been adopted by TigerVNC and libvncserver, and TurboVNC is also compatible with any other TightVNC derivative. TurboVNC forked from TightVNC in 2004 and still covers all of the TightVNC 1.3.x features, but TurboVNC contains numerous feature enhancements and bug fixes relative to TightVNC, and it compresses 3D and video workloads much better than TightVNC while using generally only 5-20% of the CPU time of the latter. Using non-default settings, TurboVNC can also be made to compress 2D workloads as "tightly" as TightVNC.

FreeImage is a library project for developers who would like to support popular graphics image formats (PNG, JPEG, TIFF, BMP and others). Some highlights are: extremely simple in use, not limited to the local PC (unique FreeImageIO) and Plugin driven!

Software for pixelization, hierarchical indexation, synthesis, analysis, and visualization of data on the sphere. Please acknowledge HEALPix by quoting the web page http://healpix.sourceforge.net (or https://healpix.sourceforge.io) and publication: K.M. Gorski et al., 2005, Ap.J., 622, p.759 Full software documentation available at https://healpix.sourceforge.io/documentation.php Wiki Pages: https://sourceforge.net/p/healpix/wiki/Home Exchanging Data with HEALPix (in FITS files): https://sourceforge.net/p/healpix/wiki/Exchanging%20Data%20with%20HEALPix/ GDL and FL users should read https://sourceforge.net/p/healpix/wiki/HEALPix%20and%20GDL/

jpcap is a set of Java classes which provide an interface and system for network packet capture. A protocol library and tool for visualizing network traffic is included. jpcap utilizes libpcap, a widely deployed system library for packet capture.

ADCViewer visualizes analog signals coming from a microcontroller board through the serial port.

A small and easy to use framebuffer graphics library

Coding convenient Aero & Astro functions into one easy to use package. From rocket engine design, to flight and space dynamics.

Computational modelling is a interdisciplinary field spanning many techniques and programming languages. AgenTools is a project dedicated to establishing increased modularity in scientific computing packages and a portal linking to other existing project

Avenzoar is a one-year exploration of renal cell carcinoma morphology and its related single nucleotide polymorphisms (SNPa) as a method of automating diagnosis of cancer by using a computer-aided decision tree controlled by analytical statistics.

The BEAM project has moved away from SourceForge.net to a dedicated web site at http://envisat.esa.int/beam

Support software for CRBS/NCMIR CCDB project

This is a short C++/Java/C#/Python benchmark. Based on Paul Heckbert's sources. Thank you Paul!

CartoReso intends to facilitate enterprise computer network mapping.

CAVOR is an engine for building apps that involve both graphic and text/numeric data. Primarily GIS is the initial focus, but consider also CAD, CASE, project management (eg PERT charts), and others. Built-in scripting, C API, also supports Tcl and Java.

The co-simulation adapation platform serves as programming framework and middleware to enable coupling of distributed, heterogeneous numerical models. The framework facilitates the adaptation and integration of new sub-models into a common simulation platform.

CompuCell3D is a software framework for multimodel simulations of biocomplexity problems. It has been developed as an ongoing project for the Interdisciplinary Center for the Study of Biocomplexity at the university of Notre Dame.

Digital Psionics develops a variety of scientific and entertainment software.

This projects hosts the worlds fastest algorithms for the labeling of point-features. It especially looks for algorithms thar are free of constraints, applicable to many scenarios (e.g., visualization, maps...) and do not need any preprocessing.

MEX/JNI is a set of bindings between MATLAB and Java using Mathworks' External Interface API and Java Native Interface (JNI).

MotoHUD is a Heads Up Display System designed specifically for motorcycles. Drive your bike without taking your eyes off the road. Tachometer, speed, trip meter, mp3s and other great features are provided by MotoHUD.

Simulates a biologically diverse tropical island, and the ape inhabitants cognitive processes. For MacOS X, iPad, Windows and Linux. Features a non-polygonal graphics engine and a command-line version

OpenGMP is an open service platform for implementing advanced decision support solutions for the mining enterprise.

OpenTNF is a system-level tracing facility for capturing and presenting diagnostic information and performance metrics. Linux/Intel (kernel 2.2.x) is the initial target platform. The OpenTNF project is seeking developers for ports to other platforms.

Project moved to https://github.com/ivandeex/optikus

ParTools allows the interactive analysis of a C program execution profile and data dependencies to facilitate the discovery and selection of suitable parallelization candidates in a manual parallelization process. The flow does not assume any specific parallelization technique, thus it can be broadly applied. The original (serial) C source is automatically annotated to trace the execution profile and data dependencies at run-time. The annotated program is then executed using a significant (but small) data set selected by the developer. The data collected is cross-referenced with the original source and can be interactively analyzed graphically to determine the best parallelization candidates and techniques.