Showing 3 open source projects for "chart tool"

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    Django REST Pandas

    Django REST Pandas

    Serves up Pandas dataframes via the Django REST Framework

    Django REST Pandas (DRP) provides a simple way to generate and serve pandas DataFrames via the Django REST Framework. The resulting API can serve up CSV (and a number of other formats for consumption by a client-side visualization tool like d3.js. The design philosophy of DRP enforces a strict separation between data and presentation. This keeps the implementation simple, but also has the nice side effect of making it trivial to provide the source data for your visualizations. This capability...
    Downloads: 0 This Week
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  • 2
    pivottablejs

    pivottablejs

    Drag’n’drop Pivot Tables and Charts for Jupyter/IPython Notebook

    PivotTable.js is a Javascript Pivot Table and Pivot Chart library with drag-drop interactivity, and it can now be used with Jupyter/IPython Notebook via the pivottablejs module. I first built PivotTable.js with a plan to build an in-browser data analysis tool, and got as far as one where you could load up a CSV file in the browser for display. Since then, however, the Jupyter project has gathered steam and now provides a browser-based interface to some of the most powerful data processing...
    Downloads: 0 This Week
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  • 3
    gChartToolPHP

    gChartToolPHP

    A PHP Wrapper for the Google Chart Tool Class

    gChartToolPHP provides a simple, comprehensive wrapper to easily produce Google client-side charts. graphs and tables using only PHP code, and embed them in your own pages. It provides support for all the current Google chart formats including the more complex charts such as bubbles, gauges and scatter charts. In addition, a Google Toolbar can be added to the chart to allow easy export of the data Data can be supplied to the chart in the following ways: 1. Static data sets embedded...
    Downloads: 0 This Week
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