Showing 2 open source projects for "google-visualization-python"

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  • 1
    erd

    erd

    Translates a plain text description of a relational database schema

    ...This utility takes a plain text description of entities, their attributes and the relationships between entities and produces a visual diagram modeling the description. The visualization is produced by using Dot with GraphViz. There are limited options for specifying color and font information. Also, erd can output graphs in a variety of formats, including but not limited to: pdf, svg, eps, png, jpg, plain text and dot. In case one wishes to have a statically linked erd as a result, this is possible to have by executing build-static_by-nix.sh: which requires the nix package manager to be installed on the building machine. ...
    Downloads: 0 This Week
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  • 2
    TensorFlow Haskell

    TensorFlow Haskell

    Haskell bindings for TensorFlow

    The tensorflow-haskell package provides Haskell-language bindings for TensorFlow, giving Haskell developers the ability to build and run computation graphs, machine learning models, and leverage TensorFlow's ecosystem—though it is not an official Google release. As an expedient we use docker for building. Once you have docker working, the following commands will compile and run the tests. Run the install_macos_dependencies.sh script in the tools/ directory. The script installs dependencies via Homebrew and then downloads and installs the TensorFlow library on your machine under /usr/local. ...
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