Search Results for "google-visualization-python"
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Showing 11 open source projects for "google-visualization-python"
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Pretty Damn Quick (PDQ) analytically solves queueing network models of computer and manufacturing systems, data networks, etc., written in conventional programming languages. Generic or customized reports of predicted performance measures are output.
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Caxpy Simple Data Visualization
Caxpy is an easy to use data visualization tool that helps you unde
Creating beautiful dashboards and thousands of reports that can be embedded into your application can be easily done with Caxpy. Its a very lightweight application which can be used to create reports from just plain SQL queries. -
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Tockit tries to build a framework for Conceptual Knowledge Processing (CKP) and Formal Concept Analysis (FCA) in Java, using a component-based approach, XML formats and a three-tier architecture.
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Fully Managed MySQL, PostgreSQL, and SQL ServerCloud SQL handles your database ops end to end, so you can focus on your app.
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OpenI plugin for Pentaho CE provides a simple and clean user interface to visualize data in OLAP cubes. It supports both direct Mondrian and xmla based connections like Microsoft SQL Server Analysis Services (SSAS), plus provides add-on features like Explore Cube Data, custom SQL for drillthrough data, publishing drillthrough data to external web services etc.
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OLAP aggregation engine with MDX support, web interface (slice & dice) and relational database backend. See "Documentation" for more. Presentation: http://cubulus.sourceforge.net/. See online demo courtesy of Webfaction, http://alxtoth.webfactional.com
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Information manager based on 3D cubes of knwoledgments. You can create a cube with 3 axis (or dimensions), each of them with several elements. The nexus between the elements of three axis compounds a value. From a cube, you can create 2D view queries
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Google Web Toolkit-based tool for publishing user-friendly OLAP views, reports and dashboards. Uses Mondrian OLAP and a relational database as the back-end.
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ConDEnSE (Confidential Data Enabled Statistical Exploration) will be a web-based environment for statistical analysis of confidential data from various database sources, based on Plone and R, and using the Jackknife method of confidentiality protection.
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Spire is a print stream converter/manipulator. It can transform print streams from Metacode to Postscript, Postscript to Metacode. PCL support will be added soon. Spire is also capable of sorting documents (think postal sortation) and added barcodes.
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...It enables you to interactively analyze very large datasets stored in SQL databases without writing SQL. The main concept of application is based on the star schema visualization.
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