QuantLib is a cross-platform, quantitative finance C++ library for modeling, pricing, trading, and risk management in real-life. It is also wrapped as Python/Ruby/Scheme modules. Extensions for Excel, R, and Mathematica are available. Other such extensions are under consideration. QuantLib offers tools that are useful both for practical implementation and for advanced modeling. It features market conventions, yield curve models, solvers, PDEs, Monte Carlo (low-discrepancy included), exotic options, VAR, and so on.
dbo is yet another database object framework written entirely in Python. Tables are represented using schema objects that encapsulate column information and supporting metadata. Row instances are represented as a dictionary. Features include database independence (with Postgres and MySQL support), automatic type conversion, database schema extraction, sequence emulation, on-the-fly table joins, and more.
PDO (Python Database Objects), is a collection of objects for use with Phase or with the Python programing language. PDO is designed to be robust and simple at the same time, allowing access to multiple styles of databases with one set of instructions. This means never having to worry again about your syntax when changing database platforms on your next project. PDO provides an object oriented API similar in intent to ADO and JDBC.
Elektra is a universal hierarchical configuration store, similar to GConf and the Windows Registry. It allows programs to read and save their configurations with a consistent API, and allows them to be aware of other applications' configurations, leveraging easy application integration. While architecturally similar to other OS registries, Elektra does not have most of the problems found in those implementations. Elektra includes a library, an API, and commandline and GUI tools for administration tasks.