db4o is an object database for Java and all .NET environments. Its features include ACID transactions, automatic class schema recognition, query-by-example, a S.O.D.A. object querying API, native queries, LINQ support on .NET, callback methods, memory files, cascade-on-delete, multi-threaded access, and Java Webstart and servlet support.
Tournament Pool and Bracket Tracker contains everything you need to run a tournament pool. It supports small groups or organizations who wish to provide an NCAA basketball tournament pool without a lot of administrative work in calculating up-to-date results and possibilities. Though it was built with the NCAA tournament in mind, it should be able to handle most other sport tournament pools. Once a tournament is underway, users can keep track of their progress as the administrator for a tournament updates the results of games. Pool adminstrators can choose from many different scoring systems.
The Karmasphere DP language is a high-performance non-blocking parallel language for performing data processing. It is designed to give the user a high degree of control over the usage of system resources, such as how many CPU cores or how much disk I/O time to use, without requiring the software developer to explicitly consider these issues in code. The implementation is a stand-alone library that can be used in any Java 1.5 environment. It can take full advantage of multiprocessor (SMP or NUMA) systems, and may be scaled sideways: since the interpreter and environment are stateless, an entire cluster of machines may run the interpreter in parallel without any need for synchronization.
XMLToaster is a tool for extracting and loading XML from databases. It provides a modified version of SQL which has XML mapping extenstions. It can be compared to the "for xml" command in MS SQL Server 2008, but it runs on all common databases and scales to handle very large XML mappings without too much complexity. It is used as a Java library to write XML interfaces, but can also be run as a command line tool.
JPerf is a perfect hash function generator for Java. The principle of perfect hashing is to reduce the average constant overhead of a hash table by precomputing a hash function which is optimal for the key set. Other advantages include a reduction in memory usage. Finding such a hash function is hard, especially in the general case. These run-time savings come at a cost of increased map creation time. JPerf can create a perfect hash function for a given set of keys and values.
The Abacus Formula Compiler (AFC) compiles computations defined in spreadsheet files directly to Java byte code. Users can thus customize an application using Excel or OpenOffice Calc. AFC compiles against your own Java interfaces to obtain input values and compute output values (it essentially generates strategy implementations for you), and supports internal computations with either double or BigDecimal (for financial applications).