The Biochemical ALgorithms Library (BALL) is a framework for rapid application development in molecular modeling and structural bioinformatics. BALL provides an extensive set of data structures as well as classes for molecular mechanics, advanced solvation methods, comparison and analysis of protein structures, file import/export, NMR shift prediction, and visualization. Its extensibility results from an object-oriented and generic programming approach.
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.
The BitNami DjangoStack is an all-in-one installer that greatly simplifies the installation of Django and its runtime dependencies. It includes ready-to-run versions of Python, Django, MySQL, and Apache. It supports Linux, Windows, and OS X, so you can share the same Django environment on multiple platforms.
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.
The Darwin Calendar Server is a standards-compliant server that allows multiple users to collaboratively share calendaring information. It provides a shared location on the network to store schedules, and allows users to send each other and manage invitations. In order to provide interoperability with multiple calendaring clients, the server implements the CalDAV protocol, which is an extension of WebDAV, which is in turn an extension of HTTP.
LightBlue is a cross-platform Python Bluetooth API for Mac OS X, GNU/Linux, and Python For Series 60. It provides easy programmatic access to device and service discovery, RFCOMM sockets, L2CAP client sockets, sending and receiving files over OBEX, service advertising, and local device information.
Mrs is a lightweight but high performance implementation of the MapReduce programming model for parallel computation. It is optimized for computationally intensive programs, especially those which are iterative, though it is applicable to a wide range of applications. It is intended to be simple to install and use. It is written in Python, supports both Python 2 and Python 3, and has no dependencies outside the standard library. The name "Mrs" derives from the practice of referring to MapReduce programs by the title "mister" (e.g., "Mr. Wordcount").