FeResPost is a library that allows the rapid development of small programs for the post-processing of Nastran or Samcef finite element results. The library allows easy manipulation of finite element models, groups, and results. Efficient post-processing is possible because the time-consuming operations are written in C/C++. The library is distributed as a COM component, a .NET assembly, as well as a Ruby compiled extension.
Berkeley DB XML is a native XML database engine for use within your product. Made available as a C++ library with language bindings for Java, Perl, Python, PHP, and Tcl, it integrates directly into your application (it is not a standalone database server). It provides XQuery access into a database of document containers. XML documents are stored and indexed in their native format using Berkeley DB as the transactional database engine.
Visifire is a set of data visualization components powered by Microsoft Silverlight. It lets you create and embed visually stunning animated Silverlight Charts within minutes. Visifire is easy to use and independent of the server side technology. It can be used with ASP, ASP.Net, PHP, JSP, ColdFusion, Ruby on Rails, or just simple HTML. Visifire's unique features are visually stunning animated charts, the ability to be embedded into any Web page in minutes, a tiny footprint (140 KB), and enterprise grade features.
Tioga is a Ruby library for creating figures and plots with high quality text and graphics in PDF format. Text is processed directly by TeX (not an emulation), and the graphics covers a broad range of PDF features including images, curves, clipping, and transparency. Tioga is relatively easy to use, complete, and well documented.
Fieldtrip allows content experts to produce online e-case studies with limited support from computer and media specialists. Case studies include a group of events, each of which have a place (on a map) and a time (on a timeline), and can be associated with other media elements such as photos, animation, audio, and video. It is designed for students, researchers, and educators at the graduate and post-graduate level and for professionals and practitioners.
Scientists have to deal with a great amount of experimental data of different kinds, often assorted with parameters (the conditions of the experiments). It is often difficult to remember the results and conditions of all experiments. SciYAG aims at make this task easier by letting you organize scientific data along with experimental conditions. It provides fast display/overlay of data and a search engine ("When did I do this experiment under these conditions?").