NimBorg is a library for accessing Lua and Python libraries from within Nimrod code. It wraps the C API of these languages with macros which make the code far more readable than the low-level API, and also automatically handles the memory management interface of these languages so that objects aren't deallocated as long as they're accessible from your Nimrod code.
Langer is an object oriented, rule based programming language. Its interpreter is shipped as a Python library. It was created to express behavior strategies, has a simple syntax based on languages like Python and C, and was designed to be convenient and readable for a programmer, but it can be easily used in genetic programming as well.
PHDoc is a version of Markdoc adapted to the needs of academics. It aims to provide a lightweight alternative to large database-powered wiki systems, giving easy management of Web sites with a clean typographic layout, inspired by the beauty of LaTeX-made documents. LaTeX math markup and automatic hyphenation are supported. Scaffolding exemplifies everything that is needed for a personal website, without any technical prerequisites like HTML or CSS.
To Do Quick is a very fast, simple, and basic GUI text editor with two features that help you manage your list of tasks. First, items can be prioritized by moving them up or down without cutting/pasting. Second, items can be marked "done", which timestamps them and moves them to the bottom of the list.
dispy is a Python framework for parallel execution of computations by distributing them across multiple processors in a single machine (SMP), or among many machines in a cluster or grid. The computations can be standalone programs or Python functions. dispy is well suited for the data parallel (SIMD) paradigm where a computation is evaluated with different (large) datasets independently (similar to Hadoop, MapReduce, Parallel Python). dispy features include automatic distribution of dependencies (files, Python functions, classes, modules), client-side and server-side fault recovery, scheduling of computations to specific nodes, encryption for security, sharing of computation resources if desired, and more.
asyncoro is a Python framework for concurrent distributed network programming with asynchronous completions and coroutines. Asynchronous completions implemented in asyncoro are socket I/O operations (non-blocking sockets), database cursors, sleep timers, and locking primitives. Programs developed with asyncoro have the same logic and structure as Python programs with threads, except for a few syntactic changes. It supports socket I/O notification mechanisms epoll, kqueue, /dev/poll (and poll and select, where necessary), and Windows I/O Completion Ports (IOCP) for high performance and scalability, and SSL for security. asyncoro features include remote execution of coroutines, coroutines monitoring other coroutines, coroutines communicating with messages, message channels etc., for concurrent, distributed, fault-tolerant programming.