Showing 9 open source projects for "dataflow"

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  • 1
    TensorFlow

    TensorFlow

    TensorFlow is an open source library for machine learning

    ... expresses its computations as dataflow graphs, with each node in the graph representing an operation. Nodes take tensors—multidimensional arrays—as input and produce tensors as output. The framework allows for these algorithms to be run in C++ for better performance, while the multiple levels of APIs let the user determine how high or low they wish the level of abstraction to be in the models produced. Tensorflow can also be used for research and production with TensorFlow Extended.
    Downloads: 27 This Week
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  • 2
    Tributary

    Tributary

    Streaming reactive and dataflow graphs in Python

    Tributary is a library for constructing dataflow graphs in Python. Unlike many other DAG libraries in Python (airflow, luigi, prefect, dagster, dask, kedro, etc), tributary is not designed with data/etl pipelines or scheduling in mind. Instead, tributary is more similar to libraries like mdf, loman, pyungo, streamz, or pyfunctional, in that it is designed to be used as the implementation for a data model. One such example is the greeks library, which leverages tributary to build data models...
    Downloads: 0 This Week
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  • 3
    Hamilton DAGWorks

    Hamilton DAGWorks

    Helps scientists define testable, modular, self-documenting dataflow

    Hamilton is a lightweight Python library for directed acyclic graphs (DAGs) of data transformations. Your DAG is portable; it runs anywhere Python runs, whether it's a script, notebook, Airflow pipeline, FastAPI server, etc. Your DAG is expressive; Hamilton has extensive features to define and modify the execution of a DAG (e.g., data validation, experiment tracking, remote execution). To create a DAG, write regular Python functions that specify their dependencies with their parameters. As...
    Downloads: 0 This Week
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  • 4
    Bytewax

    Bytewax

    Python Stream Processing

    ... processing engine that uses a dataflow computational model to provide parallelizable stream processing and event processing capabilities similar to Flink, Spark, and Kafka Streams. You can use Bytewax for a variety of workloads from moving data à la Kafka Connect style all the way to advanced online machine learning workloads. Bytewax is not limited to streaming applications but excels anywhere that data can be distributed at the input and output.
    Downloads: 0 This Week
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  • 5
    Python Taint

    Python Taint

    Static Analysis Tool for Detecting Security Vulnerabilities in Python

    Static analysis of Python web applications based on theoretical foundations (Control flow graphs, fixed point, dataflow analysis) Detect command injection, SSRF, SQL injection, XSS, directory traveral etc. A lot of customization is possible. For functions from builtins or libraries, e.g. url_for or os.path.join, use the -m option to specify whether or not they return tainted values given tainted inputs, by default this file is used.
    Downloads: 0 This Week
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  • 6
    Yet Another Audio Feature Extractor is a toolbox for audio analysis. Easy to use and efficient at extracting a large number of audio features simultaneously. WAV and MP3 files supported, or embedding in C++, Python or Matlab applications.
    Downloads: 0 This Week
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  • 7
    Exegraph is a visual, object-oriented, dataflow-driven programming language environment for the Windows and Macintosh platforms.
    Downloads: 0 This Week
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  • 8
    A pure Python library for constructing multi-threaded dataflow networks using the model of tasks, each with their own thread, connected by unidirectional thread-safe FIFOs.
    Downloads: 0 This Week
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  • 9
    A set of tools for defining, implementing and steering a dataflow/workflow process on top of a set of CORBA OO components.
    Downloads: 0 This Week
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