Search Results for "google-visualization-python" - Page 2
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Showing 78 open source projects for "google-visualization-python"
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Redland is a set of object-based, modular and portable C RDF libraries providing RDF APIs for the graph, triple storage (librdf), RDF/XML parsing and serializing (Raptor), SPARQL RDF querying (Rasqal). Language APIs in Perl, PHP, Python, Ruby and others.
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Reporting engine library written in C. Create one XML file and generate PDF, HTML, TXT, and CSV reports based on queries. Has support for MySQL, PostgreSQL, ODBC. Bindings for PHP, Java, Python.
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The NetEpi project is developing open-source, network-enabled tools for epidemiology and public health practice.
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Porcupine is an open-source Python based web application server that provides front-end and back-end revolutionary technologies for building modern data-centric Web 2.0 applications.
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This module provides access to MS SQL Servers from Python scripts. Tested on Linux, *BSD, Solaris, Mac OS X and Windows.
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pyGTM is a package of python, C and mumps which enables a python module to provide interactive storage retrieval and query of python objects in GT.M (mumps) globals.
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The MonetDB project has moved to http://www.monetdb.org/.
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SqLay is a tiny suite of tools for relational database schema visualization or fast data display / entry on console, X or WWW.
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FLAG was designed to simplify the process of log file analysis and forensic investigations. FLAG facilitates efficient analysis of large quantities of data within an interactive environment. PyFlag is the reimplementation of FLAG in Python.
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informixdb is a Python extension module that allows Python scripts to connect to an IBM Informix Database engine.
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A knowledge base engine for Python built on F-Logic. It uses the FLORA-2 reasoning engine and provides permanent storage through ZODB. Logic programming concepts like logical variables, facts, rules and queries are included.
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It is a set of tools to help database applications developers to handle database communication, reporting and printing. It has a solid, stable and easy to use API. It is also GUI toolkit agnostic and portable.
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An attempt to create a competitive new package for management of a veterinary practice. Goals are to have a solid and robust internal structure and an extremely efficient, attractive, and intuitive user interface.
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OpenMMOd is a open-source event-driven MMORPG Server written in C++ with a YAML packet definition backend. It is MySQL database driven currently with future backend support to come in the future.
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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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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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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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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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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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xbgtk - an xbase/Harbour/xHarbour object-oriented wrapper for using the GTK+ GUI. This project has been deprecated in favour of https://github.com/tuffnatty/hbgi, an approach that uses GObject Introspection for automatic bindings.
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py-sqlplug_mysql is a MySQL module full compatible with PEP-0249 (Python Database API Specification v2.0) for CPython. It is fast and stable. `Prepared statement' and building with embedded MySQL library are planned for the future.
