Open Source 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++.

JoSQL (Java Objects SQL) provides SQL capabilities for querying, ordering and grouping of collections of Java objects (POJOs). It allows a SQL statement to be applied to the collection of objects and the matching set returned, ordered and grouped.

Now part of Apache's Mahout machine learning project at http://mahout.apache.org/-- please see there for latest info and code and releases and support!

ARMR provides a foundation for creating an efficient in-memory database. Its unique list processing structures simplify programming logic and allow the developer to rapidly sort, group, and select data. Give your app a hypercard like capability.

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.

Free scripts & examples- JSP, Eclipse, SQL, PHP, ASP, Win32 Batch, Javascript, Flash/Actionscript. -=-=-=-=-=-=- NOTE: This project is closed. For new development related to integrating Beyond Compare with Eclipse, see http://beyondcvs.sourceforge.net/

The project will be looking at data (the intention is to begin looking at customer name/address data but this may widen over time) and ways to intelligently detect duplicates using fuzzy matching methods and algorithms.

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.

This library implements several locality sensitive hashing(LSH) based algorithms, including indexing data structure for high dimensional spaces and metric spaces, sketch constructions and set embedding algorithms.

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

The Movinator is a movie database application. It manages information about movies plus ratings assigned to movies by movie critics. Based on these ratings and user ratings, the application can also make movie recommendations.

XPN is relies on a non relational native XML database, where XML documents are stored in a compressed form and indices enables fast access to structure and content, thus enabling a fast evaluation of XQuery queries.

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.