Search Results for "python-ldap" - Page 17
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Showing 564 open source projects for "python-ldap"
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Data mines the voting record and other actions of Members of the UK Parliament. Extracts information from the parliament website and stores it in a database. Provides tools to analyse the information, producing statistics and tables about the MPs.
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VPython
This project is no longer active. See vpython.org.
This project is no longer active. See vpython.org. -
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DataSync Suite is an open source platform for integrating tools like Zimbra, SugarCRM, and Drupal. The tool is focused on a single sign-on, application data integration, and fast, flexible deployment.
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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.
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Metropolis is a visualization tool for TRANSIMS traffic simulation output. It specializes in viewing the dynamic outputs of the micro-simulator, such as vehicle motion and other time-varying data.
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A tool for visualization, classification, and quantification of three-dimensional secondary ion mass spectrometry data.
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VIPS is an image processing suite designed for extremely large images and colorimetry. It consists of a powerful re-usable library and a graphical user interface. http://www.vips.ecs.soton.ac.uk
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VizStack is a framework to run GPU-enabled applications. You may set up tiled displays, and run popular applications on them. VizStack can convert nodes into a shared remote visualization farm. Individual GPUs can be allocated to users too.
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This is the public icram.de code repository filled with code/code-snippets and other useful stuff.
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Biggles is a 2D scientific plotting package for Python, geared toward the production of publication-quality plots.
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Parse, analyze and -- most importantly -- use COBOL data definitions. This gives you access to COBOL data from Python programs. Write data analyzers, one-time data conversion utilities and Python programs that are part of COBOL systems. Really.
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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.
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Guanxi is a robust analysis and simulation application for Social Network Analysts. Guanxi allows researchers in the field to create, import, and export an endless array of networks, analyze their structure, and run custom dynamics over them.
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MyDBF2MySQL
Extract, transform, and load DBF into MySQL
This is an ETL software which loads data from DBF/XBase files into MySQL. This utility has command line interface, designed to work without user interaction. -
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A colorized interactive dotplot program designed for pair-wise comparisons of RNA & DNA. The original idea was from the mind of late Prof. William J. Dreyer of Caltech. The idea is to be able to see the "tapestry" of life, which comes alive with color.
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The VRML97-Import-Script is a Python-Script, that extends the capabilities of Blender to import VRML97-Files. It supports Blender since version 2.42.
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This is a neat little tool to visualize binary data in a graphical form. It's really interesting to look at different types of files.
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Pypes is a framework which allows users to break complex data processing logic down into a series of smaller less complex tasks. These tasks, referred to as components, can then be connected so that the output of one becomes the input to another.
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Vimes: Visual interface to materials simulations - An open source, python/Open GL interface to molecular and materials simulation programs
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MIVF - Medical Imaging and Visualization Factory, is a framework for medical applications. It supplies a platform, in which image processing and 3D visualization algorithms can be employed as reusable components (functional modules or plugins).
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Procup is a system that allows the user to do a centralized backup from a group of servers. It also indexes the information of the backup to be able to do fast searching into the data.
