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    Apache Sedona

    Apache Sedona

    Cluster computing framework for processing large-scale geospatial data

    ...According to our benchmark and third-party research papers, Sedona has 50% less peak memory consumption than other Spark-based geospatial data systems for large-scale in-memory query processing. Sedona offers Scala, Java, Spatial SQL, Python, and R APIs and integrates them into underlying system kernels with care. You can simply create spatial analytics and data mining applications and run them in any cloud environments.
    Downloads: 0 This Week
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    Litho

    Litho

    A declarative framework for building efficient UIs on Android

    Litho uses a declarative API to define UI components. You simply describe the layout for your UI based on a set of immutable inputs and the framework takes care of the rest. With code generation, Litho can perform optimisations for your UI under the hood, while keeping your code simple and easy to maintain. Litho can measure and layout your UI ahead of time without blocking the UI thread.
    Downloads: 0 This Week
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