Search Results for "python-ldap" - Page 3
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Showing 104 open source projects for "python-ldap"
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MongoDB Atlas | Run databases anywhereMongoDB Atlas allows you to build and run modern applications across 125+ cloud regions, spanning AWS, Azure, and Google Cloud. Its multi-cloud clusters enable seamless data distribution and automated failover between cloud providers, ensuring high availability and flexibility without added complexity.
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A parser that can parse LATEX source code and generate a report. It points out syntactic errors, suggest improvements to code(in a syntactic sense). Works with all common LATEX classes as well as common packages and new macros.
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Pynta is flexible web framework written in Python. All development going on https://github.com/lig/pynta
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Collection of tools for modifying the game Warcraft III: The Frozen Throne including frameworks such as "wc3lib" and "Advanced Script Library".
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ARREA
Collaborative editor, requirements management tool and much more
ARREA (A Reasonable Requirements Engineering Application) is a simple yet powerful requirements management tool that uses arbitrary files to store information and Subversion to allow team collaboration. Its simple conventions make it suitable for much other purposes. In fact, for any document-oriented tasks focused on collaborative work and exhaustive change and traceability management. At its heart, ARREA provides a thin layer on top of SVN that allows it to be used as a powerful... -
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Kabikaboo is a simple tree-branch note organizer. It is meant to be used to help aid in the writing of a novel. Users can plan out their story, plot, and characters. Created with Python, PyGTK, Geany, and Glade, on Ubuntu Linux.
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Make AsciiDoc part of your literate programming tool set. With eWEB you can weave and tangle literate programs written as AsciiDoc documents, using embedded WEB code snippets.
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The pycurry project is targeted for handling concurrency issues within the Python programming language. It also contains a (almost) fully functional 'Design by Contract' implementation.
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A simple program for creating documentation of Python files. Using ANTLR library it creates a HTML document with information about all classes, it's methods, class fields and attributes. Also it creates documentation of all functions in this file.
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Build Securely on AWS with Proven FrameworksMoving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
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Generates syntax highlighted HTML for almost all (including ASP,Aspect-J,AWK,C++,C#,COBOL,CSS,FreeMarker,Groovy,HTML,INI,Java,JavaScript,JSP,Makefile,Pascal,Perl,PHP,PL-SQL,Properties,Python,RTF,Smalltalk,TeX,VBScript,Velocity,XML,XSL) languages.
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"Roberge's Used Robot (RUR) : a Python Learning Environment" is a Python implementation of a "robot environment" as introduced by R. Pattis in 1981. **It is obsolete.** See https://github.com/aroberge/rur-ple
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AFMS is an Artefact Management System to manage some of the artefacts appearing in the development process of a product. Artefacts are for example requirements, use cases or test cases. AFMS contains an artefact editor and a test execution tool.
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Txt2tags converts a text file with minimal markup to HTML, XHTML, SGML, LaTeX, Lout, UNIX Man Page, Wikipedia, Google Code Wiki, DokuWiki, MoinMoin, MagicPoint(mgp), PageMaker. Features: simple, fast, automatic TOC, macros, filters, include, GUI/CLI/
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Epydoc is a tool for generating API documentation for Python modules, based on their docstrings. Epydoc supports two output formats (HTML and PDF), and four markup languages for docstrings (Epytext, Javadoc, ReStructuredText, and plaintext).
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"frogpie" is a visual documentation generation and management framework for python developers. It comes equipped with WYSIWYG documentation editor, browsable documentation viewer and much more.
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A small, effective, extendable and customizable personal Wiki developed for pocketPC systems. Can run on all python supported platforms.
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Quick reference for switching between mathematical computation environments for computer algebra, numeric processing and data visualisation. Examples are Matlab, IDL, SPlus, and their open-source counterparts Octave, Scilab, Python+NumPy and R.
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EurekA is a knowldege base system primarily developed in python with MySQL as the database, SQLObject module as the DB API and CherryPy+Genshi as the frontend. The main aim of this project is to provide a dynamic Knowldege Base system that caters to the
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Lightweight requirements management tool, with export, search and traceability functions. Uses plain text files as backend.
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Goal of oraschemadoc is to provide detailed documentation for all objects in schema covering Oracle specific features. Result of execution of oraschemadoc is set of static xhtml files. There are more features under development...
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Libraries and tools to support software design using executable code as specifications, to support Test Driven Development and other Agile methods.
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Fudge is a documentation system for software projects inspired by Pudge. It is currently targeted at providing integration with current Python software developement tools and internationalization, but support for other programming languages is planned.
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A Python tool for creating websites or project documentation. Pages can be stored as reST (text) or html. With a simple templating and macro system it can autogenerate index pages and navigation links. Facilities for multiple translations as well.
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The Django-driven web-based book-authoring content-management-system (ddwbbacms) is a program that allows authors to work on their books, articles, or topics without having to have their hard drives nearby. Access to the web is all that is required.
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Doceval is a software that allows to discover the documentation included in a tarball. Basically it serves to identify if a given software project has doc at all and helps with a report to evaluate how much documentation it has and how good it is.
