Open Source BSD Algorithms

Technical analysis library with indicators like ADX, MACD, RSI, Stochastic, TRIX... includes also candlestick pattern recognition. Useful for trading application developpers using either Excel, .NET, Mono, Java, Perl or C/C++.

Bookinex is an application designed to index your collection of books, it supports scanning of Barcodes to recognize ISB Numbers and querying web services to collect data.

C-squares is an easily implemented method for storage, querying and display of spatial data locations, based on a hierarchical, grid-based representation of the Earth' surface. Source code for encoding, decoding, mapping, etc. is provided via this site. Additional support is available by contacting the system developer, Tony.Rees@marinespecies.org; see also the c-squares home page at http://www.cmar.csiro.au/csquares/ .

DBI++ is a C++ port of the famous Perl DBI module. Currently it just supports MySQL, but the goal is, to extend it to a driver-independent interface. License is LGPL, so it can be used in closed-source-software, too.

JXmlSql is a Java database API ( MySql, Oracle, Access )that eliminates JDBC code. JXmlSql allows developers to define application and prepopulation SQL statements inside xml files. Options for query, insert, update, delete, report and prepopulation SQL.

Java Component created to persist and work with trees (it doesn't matter the type of persistence). Based on "Nested Set Model of Hierarchies" by Joe Celko. [Componente Java para persistir y trabajar con árboles (no importa el tipo de persistencia)]

An adaptive mini database learns algorithmic operations for data intensive algebraic computational methods within a pervasive computing graph. It also provides generic structures and algorithms as a data fabric.

PHPersistencia is a database persistence layer for PHP, offering Object Oriented interface to access the data, generating sql queries transparently for insert/update, selecting data as object collection and verifing data types without database access

Semantic query optimization (SQO) is the process of finding equivalent rewritings of an input query given constraints that hold in a database instance. We present a Chase & Backchase (C&B) algorithm strategy that generalizes and improves on well-known methods in the field. The implementation of our approach, the pegasus system, outperforms existing C&B systems an average by two orders of magnitude. This gain in performance is due to a combination of novel methods that lower the complexity in practical situations significantly.