Showing 4 open source projects for "google translator source code"

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  • 1
    geemap

    geemap

    A Python package for interactive geospaital analysis and visualization

    A Python package for interactive geospatial analysis and visualization with Google Earth Engine. Geemap is a Python package for geospatial analysis and visualization with Google Earth Engine (GEE), which is a cloud computing platform with a multi-petabyte catalog of satellite imagery and geospatial datasets. During the past few years, GEE has become very popular in the geospatial community and it has empowered numerous environmental applications at local, regional, and global scales. GEE...
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  • 2
    Gio.js

    Gio.js

    A declarative 3D globe data visualization library built with Three.js

    Gio.js is an open source library for web 3D globe data visualization built with Three.js. What makes Gio.js different is that it is simple to use Gio.js to customize a 3D data visualization model in a declarative way, add your own data, and integrate it into your own modern web application. Gio.js is an open source library for web 3D globe data visualization built with Three.js. What makes Gio.js different is that it is simple to use Gio.js to customize a 3D data visualization model in a...
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  • 3
    Flame Graphs

    Flame Graphs

    Stack trace visualizer

    Flame graphs are a visualization of profiled software, allowing the most frequent code-paths to be identified quickly and accurately. They can be generated using my open source programs, which create interactive SVGs. See the Updates section for other implementations. Recently I've been helping with d3-flame-graph. The x-axis shows the stack profile population, sorted alphabetically (it is not the passage of time), and the y-axis shows stack depth, counting from zero at the bottom. ...
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  • 4

    SVG_plot

    Plot data in SVG format using C++ library

    The SVG_plot C++ library allows, with a few lines of C++ code, to add plotting of data, held in STL containers like vector and map, output as SVG files that can be viewed by all modern browsers. 1D, 2D and Boxplots can be produced, and there are a myriad of options to control appearance. The plots are very high quality and can be expanded without loss of quality (no pixelation!) but are tiny, (compared for a Microsoft Excel plot, for example) and are easily compressible, making them...
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