Search Results for "sql server for python" - Page 4
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Showing 111 open source projects for "sql server for python"
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Reves is tool for relational database reverse engineering. It maps the schema of existing databases into XML files.
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Parser for SDict-based format dictionaries with ability to save in a SQL server (with creating table, index and filling data) and in a text file (SDict text format). NOTE: The project has been moved to GitHub: https://github.com/nuald/sdict2db The old one stays here just for the historical reasons.
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The MyAccess online database editor is a ASP-VBScript web application that runs on Microsoft's IIS Application server. The current release and includes functionality to create/modify/delete MS Access databases, tables, views, keys, indexes, and content
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ITCWorks a Java Framework with more than 500 Java classes. The foundation of ITCPro a visual UI for ORM++. ITCworks includes: - XML Bean Support (SOA,WSDL Schema Framework, Code Gen.)-ORM, object graph gen., SQL code gen., More info at <a href=www.i-tech
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Enterprise-grade ITSM, for every businessFreshservice is an intuitive, AI-powered platform that helps IT, operations, and business teams deliver exceptional service without the usual complexity. Automate repetitive tasks, resolve issues faster, and provide seamless support across the organization. From managing incidents and assets to driving smarter decisions, Freshservice makes it easy to stay efficient and scale with confidence.
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PyML server (Python Markup Language) is a content management framework. Page contents are written in pure Python, Python objects can be created and used to render HTML for remote browsers. PyML has been developped to be very simple and easy to use.
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This tool enables you to produce a LaTeX (standard, no extension required) report for database objects (tables, views, indexes, functions, primary/foreign keys, columns, types, keywords, system functions) thanks to the JDBC Api.
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Chlorine Boards is a module oriented website system comprised of selfdownloadable, selfinstallable and selfconfigurable modules that supports memory caching techonology.
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An open-source attempt at creating a comprehensive, professional, and thorough SGML/XML/HTML (and others) publishing suite
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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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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4Suite is a platform for XML processing and knowledge-management, consisting of a library of integrated tools for XML processing, and an XML data repository and server with a rules-based engine.
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X10 Server for controlling X10 devices and an X10 Client for connecting to the X10 Server allowing user create/edit devices remotely in their home and control these devices remotely all over a secure channel using DES and Public key cryptography methods.
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This project provides a ready to use set of SQL Server TSQL Procedures to be able to create docbook reports (tables, views, procedures, ...) from a single script. Reports can easily be transformed into portable formats (pdf, html, ps, rtf, xhtml, chm, la
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Server and Client XML exchange via reflection. AJAX,PHP,JAVA and PERL reflection helper classes. Full NIO server for JAVA and RMI service. Basically create a PlugIN and let reflection do the work for you.
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A cgi program written in Python that turns HTTP GET and POST queries into SQL queries, runs them, turns the results into XML, and then returns the XML as the response to the HTTP query. It also supports returning a single BLOB as the whole response.
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Abacus Technologies Relational XQuery is an XQJ compatible XQuery processor that provides the ability to execute XQuery against both relational and XML data sources. Relational data can be transformed to any XML schema using XQuery's powerful features.
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.NET solution helping U.S. health officials inspect food service establishments for compliance with state/local health & sanitation regulations. Mobile component assists field-work while a back-office component administers forms, records and scheduling.
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Here is the ASP Forum I made including a CMS Administrator to manage the content of it. Any OS and/or environment you can run .asp on you can also use this forum on provided you modify the correct db configuration. [(:-)] Kyle
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PyBookmark manipulates bookmark files. It can sync files (no server required), merge, sort, remove duplicates, and check links. Its library pybookmarklib provides access to these operations, data structures, and parser for further extensibility.
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eDemonOnline is a set of libraries for ASP .NET. It includes the PHP .NET sub-project(a port of PHP functions library to the .NET framework) along with a collection of web controls, class libraries and tools. For more info see the documentation section.
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AJAX JDBC ResultSet in Javascript. Uses XMLHTTP to send xml server data to a web browser HTML form with no refresh, reload or submit (like Google Suggest). Data can be SQL, object relational map (like Hibernate), XML, other mapping (like SOAP)
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CryptoPy is a pure python implmentation of cryptographic algorithms and applications. The algorithms are developed for readability more than speed. The collection now includes IEEE 802.11i specific algorithms that generated the test vectors for 802.11i.
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Dictionnaire is an open-source French-English dictionary intended to cover modern phraseology as well as entries that are difficult to translate using traditional dictionaries.
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PySimpleTable
Lightweight Python 2D table object with column headers
For 2D data objects in Python, you have 3 main options: - Numpy Array - Pandas DataFrame (built on np.array) - SQL table Numpy and Pandas are great for working with a complete set of data, but not very efficient for building up row by row. SQL is good for building up the object row by row, but you have to write SQL and leave the world of Python objects.
