Dandelion is a 3D graph rendering application which can be controlled across a network. Its main purpose is to allow clear network graphs to be rendered in a window, which can be controlled by a separate application or the user. The Dandelion visualization is actually controlled by issuing simple commands to it across the network (although this could all be happening on a single machine). The Dandelion source includes a set of very simple libraries which can be incorporated into other applications and which can be used to send these commands. Libraries are included for C, C#, Java, and Python. The project was developed at Liverpool John Moores University within the PROTECT Centre.
ARS (Autonomous Robot Simulator) is a physically-accurate simulation suite for research and development of mobile manipulators and, in general, any multi-body system. It is modular, easy to learn and use, and can be a valuable tool in the process of robot design, in the development of control and reasoning algorithms, and in teaching and educational activities. It will encompass a wide range of tools spanning from kinematics and dynamics simulation to robot interfacing and control.
DAE Tools is cross-platform equation-oriented process modelling, simulation, and optimization software. Various types of processes (lumped or distributed, steady-state or dynamic) can be modelled and optimized. They may range from very simple to those which require complex operating procedures. Equations can be ordinary or discontinuous, where discontinuities are automatically handled by the framework. Model reports containing all information about a model can be exported in XML MathML format, automatically creating high-quality documentation. The simulation results can be visualized, plotted, and/or exported into various formats.
Opticks Extras is a set of official extensions for the Opticks application. The Spectral Processing extension adds multi-spectral and hyper-spectral processing capability to Opticks. The IDL Scripting extension integrates an IDL interpreter directly into the Opticks application. The Python Scripting Extension integrates a Python interpreter directly into the Opticks application.
CSVSee graphs data from CSV files, especially those containing timestamps. You can graph all columns, or specific columns matching regular expressions. Graphs can be displayed in an interactive viewer, or saved to a .png or .svg file. Tools are also provided to generate CSV files by string-matching in multiple timestamped text files, and for creating CSV reports of Grinder load test logs.
Opticks is similar to commercial tools like ERDAS IMAGINE, RemoteView, ENVI, or SOCET GXP. Unlike other competing tools, you can add capability to Opticks by creating extensions. It supports the following file formats: NITF 2.0/2.1, GeoTIFF, ENVI, ASPAM/PAR, CGM, DTED, Generic RAW, ESRI Shapefile, HDF5, AVI, MPEG, JPEG, GIF, PNG, and BMP. It can zoom, pan, or rotate spatially large datasets. It can quickly layer GIS features, annotations, results, and other information over your data to provide context. It has many image display controls such as colormap, histogram, transparency, etc. Support for datasets larger than four gigabytes. Analysts can quickly combine steps using graphical wizards. Support for processing data in its native interleave of BIP, BSQ, or BIL. Extensions can add new processing algorithms, file formats, visualizations of the data, or data types.
pyFormex is a tool for generating, manipulating, and transforming large geometrical models of 3D structures by sequences of mathematical transformations. Thanks to a powerful (Python based) scripting language, it is very well suited for the automated design of spatial frame structures. It provides a wide range of operations on surface meshes, like STL type triangulated surfaces. There are provisions to import medical scan images. pyFormex can also be used as a pre- and post-processor for Finite Element analysis programs. Finally, it might be used just for creating some nice graphics.