Midao JDBC simplifies development with Java JDBC. It is flexible, customizable, and simple/intuitive to use, and provides a lot of functionality: transactions, working with metadata, type handling, profiling, input/output processing/converting, pooled datasource libraries support, cached/lazy query execution, named parameters, multiple vendor support out of the box, custom exception handling, and overrides. With a single jar, it supports both JDBC 3.0 (Java 5) and JDBC 4.0 (Java 6). Midao JDBC is well tested. Not only does it have around 700 unit and functional tests, but it's also tested with the latest drivers of Derby, MySQL (MariaDB), PostgreSQL, Microsoft SQL, and Oracle. Midao is a data-centric project. Its goal is to shield Java developer from nuances of vendor implementation and standard boilerplate code. Midao JDBC is the first library released under it.
Piggydb is a flexible and scalable knowledge building platform that supports a heuristic or bottom-up approach to discover new concepts or ideas based on your input. You can begin with using it as a flexible outliner, diary or notebook, and as your database grows, Piggydb helps you to shape or elaborate your own knowledge. Piggydb is a Web application provided as a self-contained package that contains a Web server and database engine.
Duke is a fast and flexible record linkage engine. It does not use the traditional blocking (sort by key) approach, but instead relies on Lucene. This makes it high-performance (able to process 1,000,000 records in ~10 minutes). Duke can be run from the command line, but also has an API allowing incremental linking applications to be built easily. It supports reading data from CSV, JDBC, SPARQL, and NTriples, and also supports a number of string comparators and string normalizers.
Template Data Interface (TDI, /ʹtedɪ/) is a markup templating system written in Python with (optional but recommended) speedup code written in C. Unlike most templating systems, TDI does not invent its own language to provide functionality. Instead, you simply mark the nodes you want to manipulate within the template document. The template is parsed, and the marked nodes are presented to your Python code, where they can be modified in any way you want.