Search Results for "freetz-linux" - Page 13
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Showing 513 open source projects for "freetz-linux"
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Securely store unstructured data in (keyword, record) pairs. Both keywords and record data are encrypted. Ideal for storing passwords, account information, etc. Thus, srd is a general-purpose password vault or a secure rolodesk application.
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BusyBee could be used to monitor and observe your INFORMIX database server. It is an easy but flexible monitoring solution which could be used standalone or easily be integrated into system management tools like BigBrother, IBM Tivoli or HP OpenView.
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PyBSDDB is an extension module for Python that wraps the BerkeleyDB from Sleepycat Software. This project will be used to help unify the various implementations and to continue enhancing the module as new features are released from Sleepycat.
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MilkCrate utilizes a new open-source markup language for tabular musical notation, and a unique wiki-styled web interface for data input. Users may generate a number of different document types to view the tabular notation, including .png, and PostScript
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SDB is an utility for traders to manage a collection of live shows. It currently features various export formats (txt, html, php, xml) and a gui to browse, add, edit your shows.
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KML is a knowledge base with support of logical modeling. Advanced model is used to represent knowledge as a set of statements similar to natural language sentences. This project hosts a set of model storage library and server (vrb-ols) and clients.
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Python MyCMS is an application development platform built with robust MySQL integration allowing for easy creation of state and event driven web-based interfaces. Now also featuring a phpMyAdmin-style web interface to MySQL for administration.
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set of C++-libraries which allow the rapid development of database applications either UI-independent or (in the moment) for KDE
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You can add ,remove new records(students), send mail to selected student and view all the records(students) by using shelve module database.
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DbEye is a simple gui frontend for administration and manipulation of SQL databases. It is written in python and utilizes the wxWidgets toolkit and python DB-API 2.0 for cross-platform, multi-database functionality.
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Moodss is a modular monitoring application, composed of a GUI and a daemon, which supports any device or process for which a module can be developed. Complete dashboards with graphical viewers, thresholds, SQL database archiving, ... can be managed.
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Wets is a very flexible ETL which can handle data coming from text file / XML / MySQL / postgreSQL and Zope server and because of the language associated there is no limitation concerning the transformation process. See the drop project for a GUI.
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The Peach Validator is a small program used verify the application of the Lhun's algorithm to s.i.n numbers. This program is designed to offer some insight into writting program wrappers or GUI applications with python.
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The Restaurant Table Reservation System is a Django-powered web server framework that allows programmers (or me) to build websites for restaurant owners where customers can reserve tables (over the web) based upon owner-provided table availability data.
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PDO: Python Database Objects. Database Module for Python based upon DB-API 2.0: featuring column access by name and high performance. Similar in API to ADO, JDBC.
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A set of PHP functions giving web developers a simple, yet immensely powerful "drop in" permission system for their current web based applications.
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KInterbasDB is a Python DB API 2.0 module for the relational databases Firebird and Interbase. KInterbasDB also exposes most of the native client API of the database engine, including two-phase commit, server-side events, and an administrative API.
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Resources and Information for Success in Education: A web-based, database application to manage and publish academic catalog information including programs, courses, and schedules. It is intuitive, extensible, and easily integrated with existing systems.
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Datawarehouse process workflow server and generator of datawarehouse mappings. It allows to define dependencies between tables or files and processes and according to these metadata it runs processes in parallel.
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