Open Source Python Database Software - Page 5

A toolbox for searching and extracting text in Bible databases. Currently in the process of converting the code repository to subversion. It may or may not live at sf.net afterward.

Biblio is a school-library-management-system, written in Python, featuring the management of multiple book-copies as common in school-libraries.

BioMa is a specimen based Biodiversity database Manager. It is designed to store, organize, and manipulate biodiversity-related scientific data, either for the purposes of museums, scientific collections, or research projects.

BlackRay is a persistent in-memory high performance relational database written in C++. It combines regular database features with search engine like performance. Please visit https://forge.softmethod.de for the main development site.

Bracket is an open-source tool that tracks and manages data access across your PostgreSQL database. It provides visibility into which parts of your codebase are accessing which tables and columns, enabling data governance, security auditing, and architectural insights. Bracket is particularly helpful for growing teams needing better observability in complex applications.

Planing events, and comercials for TV Broadcast stations, Interfaces to PBS(tm), Pinnacle-Vortex(tm) with Web frontend

BDOZ (Bulldozer) is a Python package that extends the use of ZODB outside of Zope. BDOZ includes wrapper classes that make ZODB database applications easier to create and manage.

Butler framework is a table-oriented java object model on top of JDBC that makes database programming easier. It also has a set of database aware swing components and a JSP tag library.

CD Maze is an easy to use CD-ROM/DVD-ROM catalog system for the GNOME/Unix/Linux-Desktop.

A collection of tools for working with the comparative data analysis ontology including import/export facilities for common phylogenetic file formats, and also a triple-store framework.

COMBuilder is a VB6 app that will allow you to write all COM objects for working with databases. Also, the program will create forms to work with this objects. It is planned to create also c# and vb.net code.

The csvdatamix project aims to randomize CSV input data files in order to conceal the original state of the data. Similar to data masking or data transformation. Also has mapping abilities to translate back to the original state of the data.

Spools data for a given query or table from 14 databases. Windows command-line application.

A python script that uses wxwidgets. View or edit delimited data.

CUBRID QA project contains a test-automation tool and many kinds of test cases for CUBRID database.

Cadopy is a personal archive system. Objects can be imported (files, bookmarks, email, csv, ...) or created directly via the web interface. The object schema can be adapted continuously. Search is via OQL or fulltext. Uses Python, CherryPy and MySQL.

Cheshire3 is a fast Z39.50, SRW, XML search engine, written in Python for extensability and using C libraries for speed. Next generation of the Cheshire system (http://cheshire.berkeley.edu) and designed around a distributable, object oriented model.

Cinemagoer (previously known as IMDbPY) is a Python package for retrieving and managing the data of the IMDb movie database about movies and people. You can use the search_movie method of the access object to search for movies with a given (or similar) title. Similarly, you can search for people and companies using the search_person and the search_company methods. Movie, person, and company objects have id attributes which -when fetched through the IMDb web server- store the IMDb id of the object. If you know the IMDb id of a movie, you can use the get_movie method to retrieve its data. It’s possible to retrieve the list of top 250 and bottom 100 movies. As on the IMDb site, each TV series and also each of a TV series’ episodes is treated as a regular title, just like a movie. The episodes of a series can be fetched using the “episodes” infoset.

Classicollect is an SQL schema and data entry frontend for cataloguing a classical CD collection. It is written in Python and uses Postgresql for the database backend and gnome-python for user interface. Currently it runs in the GNOME environment.

Cloud Target is a front-end to the python scripts that google uses to create, run and upload projects to its App Server system. This .NET application is based on the OSX front-end provided by Google in the SDK.

Cog is a lightweight, embedded graph database for Go that provides a simple interface for storing and querying graph-based data structures, making it useful for knowledge representation and graph analytics.

New version moved to http://github.com/ctuning/ck Collective Mind framework (cM) is an open-source plugin-based schema-free repository and infrastructure for collaborative, systematic and reproducible research and experimentation. This 3rd version (started in 2006) helps to implement, preserve, share and reproduce the whole experimental setup as connected modules and data. cM uses crowdsourcing to leverage knowledge and computational resources of multiple users. For example, it includes multi-objective GCC, LLVM and ICC auto-tuning scenarios using shared benchmarks, codelets, data sets, tools, and combined with classification and predictive models. cM includes OpenME interactive interface to open up and expose internals of various third-party tools such as GCC, LLVM, run-time systems, etc. and connect them to cM through dynamic plugins that allows online analysis and tuning of programs and architectures. Live repo: http://c-mind.org/repo

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.

Crow - Computational Representation Of Whatever. A platform for the integration and mining of complex and distributed data. Represents cross-linked semantic web documents as a network of software objects and offers easy ways to filter, and sort them.