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Showing 3 open source projects for "data flow"

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    ADAMS

    ADAMS

    ADAMS is a workflow engine for building complex knowledge workflows.

    ADAMS is a flexible workflow engine aimed at quickly building and maintaining data-driven, reactive workflows, easily integrated into business processes. Instead of placing operators on a canvas and manually connecting them, a tree structure and flow control operators determine how data is processed (sequentially/parallel). This allows rapid development and easy maintenance of large workflows, with hundreds or thousands of operators.
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    Downloads: 5 This Week
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  • 2
    Easy Machine Learning

    Easy Machine Learning

    Easy Machine Learning is a general-purpose dataflow-based system

    ...In the system, a learning task is formulated as a directed acyclic graph (DAG) in which each node represents an operation (e.g. a machine learning algorithm), and each edge represents the flow of the data from one node to its descendants.
    Downloads: 3 This Week
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  • 3
    H2O-3

    H2O-3

    H2O is an Open Source, Distributed, Fast & Scalable Machine Learning

    ...H2O-3 integrates with big data technologies such as Hadoop and Apache Spark, enabling organizations to run machine learning workflows on large-scale data infrastructure. The platform also includes a web-based interface called Flow that allows users to build models interactively through notebooks and visual tools.
    Downloads: 0 This Week
    Last Update:
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