Fast Artificial Neural Network Library is a neural network library that implements multilayer artificial neural networks in C with support for both fully connected and sparsely connected networks. Cross-platform execution in both fixed and floating point are supported. It includes a framework for easy handling of training data sets. It is easy to use, versatile, well documented, and fast. C++, Perl, PHP, .NET, Python, Delphi, Octave, Pure Data, and Mathematica bindings are available. A reference manual accompanies the library with examples and recommendations on how to use the library. A graphical user interface is also available for the library.
3D Vertical Bar Graph provides both client and server-side solutions for the incorporation of bar graphs into Web pages. It provides versatile components so that Web authors and Java developers can easily build and publish dynamic and interactive bar graphs. There are many configurable features and functions to both the applet and servlet and as such, the documentation and examples are designed to give both a full understanding of every feature and enable you to implement both the applet and servlet quickly and easily. The series of examples gives an overview of the variety of implementations possible.
Cymbeline is an Python application server framework that includes functionality such as database and arbitrary object pooling, Web servers (including SSL), a persistent object repository, and a text console. It was originally designed as an administrative shell for an embedded system, but has since morphed into a more general purpose, run anywhere toolkit.
Pyml is a Python-based HTML preprocessor in the same vein as PHP or ASP, allowing you to mix HTML and Python code. It can be used with any Web server that supports CGI or with Apache via mod_python. There is support for cookies, PHP-like sessions, access to GET and POST variables, and inserting more pre-processors such as XSLT. Pyml files can be compiled into Python bytecode to speed execution.