Open Source Python Enterprise Software for Windows

ConDEnSE (Confidential Data Enabled Statistical Exploration) will be a web-based environment for statistical analysis of confidential data from various database sources, based on Plone and R, and using the Jackknife method of confidentiality protection.

OLAP aggregation engine with MDX support, web interface (slice & dice) and relational database backend. See "Documentation" for more. Presentation: http://cubulus.sourceforge.net/. See online demo courtesy of Webfaction, http://alxtoth.webfactional.com

Pipe your scalar data between Oracle databases.

A group a subprojects for Data Cleaning projects, mainly as a step of a Data Mining Project. Visit www.datacleaningopensource.com to review our current applications or if you want to add yours. NOTE: PROGRAMMING SKILLS ARE REQUIRED.

Command-line tool lets you copy table data from Oracle to SQLServer database. Touch and go design.

CostosPy esta diseñado para manejar la ejecucion de pequeños proyectos de construcción, ayudar a la facturación y el analisis dia a dia de costos vs producido.

Project has moved to: https://github.com/OptimalBPM/qal QAL is a collection of libraries for mining, transforming and writing data from and to a number of places. Sources and destinations include different SQL and NoSQL backends, file formats like .csv, XML and excel. Even untidy HTML web pages. It has a database abstraction layer that supports connectivity to Postgres, MySQL, DB2, Oracle, MS SQL server. JSON and MongoDB is coming. It uses XML/JSON formats(self-generated SQL schemas) for representing queries, transformation and merging, making it scriptable. This means that QAL can be backend agnostic about a subset of SQL features and data types. Of course custom SQL:s are also supported. It is currently distributed as a Python 3 Library (pip3 install python3-qal) and Debian .deb package. It is related the Optimal BPM project, see its Optimal Sync application for usage examples. The text of this page is released under the Creative Commons Zero Waiver 1.0 (CC0).

TORCH is a web enabled electronic health record (EHR) application. TORCH is usable in single practitioner offices and scalable up to multi-site practices.

An attempt to create a competitive new package for management of a veterinary practice. Goals are to have a solid and robust internal structure and an extremely efficient, attractive, and intuitive user interface.

The Wedgetail project provides the basis for a shared electronic health record. The project provides a schema for an SQL implementation of a sharedEHR, as well as the tools required to interact securely with the database.

To build a public open dataset of chest X-ray and CT images of patients who are positive or suspected of COVID-19 or other viral and bacterial pneumonia (MERS, SARS, and ARDS.). Data will be collected from public sources as well as through indirect collection from hospitals and physicians. All images and data will be released publicly in this GitHub repo. This project is approved by the University of Montreal's Ethics Committee #CERSES-20-058-D. We can extract images from publications. Help identify publications that are not already included using a GitHub issue (DOIs we have are listed in the metadata file). There is a searchable database of COVID-19 papers. We want to improve prognostic predictions to triage and manage patient care. Data is the first step to developing any diagnostic/prognostic tool. Our goal is to use these images to develop AI-based approaches to predict and understand the infection.

This application allows bulk import and exports between Banner EPAFs and Excel spreadsheets. Despite what your sales rep told you, doing EPAFs in Excel and then importing them into Banner is no easy task. Each EPAF can have a variable number of rows in variable number of tables and transaction numbers must be carefully kept in sync among all of these rows and records. WindEPAF takes this difficult and error-prone process and makes it easy.