Open Source Windows Mathematics Software

ADaMSoft is a free and Open Source Data Mining software developed in Java. It contains data management methods and it can create ready to use reports. It can read data from several sources and it can write the results in different formats.

The ROSETTA C++ library is a collection of C++ classes and routines that enable discernibility-based empirical modelling and data mining. Comprises useful routines for machine learning in general and for rough set theory in particular.

A declarative logic programming system with first-class relations embedded in a pure functional subset of Scheme. The system has true unions, fair scheduling, lexically-scoped logical variables, set-theoretical semantics, high performance without cuts

A alternative to the SAS Viewer written in SAS/AF. First presented on 2010-10-05 in BASAS meeting. With extended abilities in sorting, filtering, simple frequency count, statistics and various data review oriented features.

A Perl Extension for modeling enzymatic (biochemical) reaction networks

Fast search using a standard SQL on Oracle or PostgreSQL database. The package includes the database creator, loader and web application. It supports SMILES and SMARTS substructure searches, similarity search, stereochemistry.

A Python library bringing together utilities I've written over the years for work in bioinformatics and biostatistics, which should be generally applicable outside these fields as well. Focuses on string processing, DBI, and math.

KeplerDB is a temporal database to store time/value entries where the type of value could be integer, float/double, boolean and string. KeplerDB is dedicated to be scalable and to create clusters of server allowing the user to analyse and store massing amount of data to monitor systems like computers, clusters, building and captors or financial systems like markets and accounts. The user can use KeplerDB to make data analysis on enormous amount of data (statistics and modelling).

MathROOT is a tool for high-energy physicists to access the ROOT data analysis framework from within Mathematica

The aim of this project is to create a series of User Defined Functions, for MySQL servers. (Formerly known as MySQL/Scientific)

Provides PostgreSQL database access from within the R statistical computing environment.

This is a SQL interface for scilab. It will enable users of scilab to do queries to a sql database and get the results in a normal scilab array. <p> <a href="http://www-rocq.inria.fr/scilab/"'>Scilab homepage</a>

SurveyForge is a survey definition and execution tool oriented to statisticians running on JEE platform with special emphasis on data entry made easy, use of existing standards (Triple-S, Metanet, DDI) and reuse of standard (or not) classifications

TM4 is a suite of applications for managing and analyzing microarray data. TM4 provides data storage and tracking, image analysis, normalization, data filtering, clustering and statistical analysis capabilities. Includes MADAM, Spotfinder, MIDAS, and MeV.

The place for algorithms, scripts, and open discussion of the issues of traffic behaviour statistical analysis. Aberrant Behavior Detection. Holt-Winters forecasting. RRDtool.

VAERity is a free, open source tool to graphically explore the VAERS data set. It aims to eventually expand in scope to allow fast querying of arbitrary large datasets. It utilizes vaex and pandas as required to provide a balance of speed and query flexibility.

Vytics lets you query and plot csv data, Excel files, databases (SQL and NoSQL). You can also organize your queries, data and graphs into reports and projects.

A bunch of miscillaneous scientific simulation projects not important enough to have their own project. Includes Gaspard-Rice chaotic scattering simulation, sea ice emissivity modelling, IDL library and any others I create or find kicking around.

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.