https://github.com/python-streamz/streamz

Real-time stream processing for python
https://github.com/python-streamz/streamz

async python real-time streaming-data

Last synced: 2 months ago
JSON representation

Real-time stream processing for python

• Host: GitHub
• URL: https://github.com/python-streamz/streamz
• Owner: python-streamz
• License: bsd-3-clause
• Created: 2017-04-04T21:45:49.000Z (about 7 years ago)
• Default Branch: master
• Last Pushed: 2022-12-22T14:52:10.000Z (over 1 year ago)
• Last Synced: 2024-04-08T10:09:55.920Z (3 months ago)
• Topics: async, python, real-time, streaming-data
• Language: Python
• Homepage: https://streamz.readthedocs.io/en/latest/
• Size: 2.84 MB
• Stars: 1,219
• Watchers: 35
• Forks: 144
• Open Issues: 116
• Metadata Files:
  • Readme: README.rst
  • Contributing: CONTRIBUTING.md
  • License: LICENSE.txt

Lists

• awesome-streaming - Streamz - A lightweight library for building pipelines to manage continuous streams of data; supports complex pipelines that involve branching, joining, flow control, feedback, back pressure, and so on. (Table of Contents / Streaming Library)
• my-awesome-stars - python-streamz/streamz - Real-time stream processing for python (Python)
• awesome-python-machine-learning-resources - GitHub - 39% open · ⏱️ 27.07.2022): (时间序列)
• awesome-streaming - Streamz - A lightweight library for building pipelines to manage continuous streams of data; supports complex pipelines that involve branching, joining, flow control, feedback, back pressure, and so on. (Table of Contents / Streaming Library)
• Awesome-time-series - 📚 Streamz - | ⭐️ 1.1K | Streamz helps you build pipelines to manage continuous streams of data. It is simple to use in simple cases, but also supports complex pipelines that involve branching, joining, flow control, feedback, back pressure, and so on. (Others)

README

        
Streamz

=======

|Build Status| |Doc Status| |Version Status| |RAPIDS custreamz gpuCI|

Streamz helps you build pipelines to manage continuous streams of data. It is simple to use in simple cases, but also supports complex pipelines that involve branching, joining, flow control, feedback, back pressure, and so on.

Optionally, Streamz can also work with both `Pandas `_ and `cuDF `_ dataframes, to provide sensible streaming operations on continuous tabular data.

To learn more about how to use Streamz see documentation at `streamz.readthedocs.org `_.

LICENSE

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BSD-3 Clause

.. |Build Status| image:: https://github.com/python-streamz/streamz/workflows/CI/badge.svg

   :target: https://github.com/python-streamz/streamz/actions

.. |Doc Status| image:: http://readthedocs.org/projects/streamz/badge/?version=latest

   :target: http://streamz.readthedocs.org/en/latest/

   :alt: Documentation Status

.. |Version Status| image:: https://img.shields.io/pypi/v/streamz.svg

   :target: https://pypi.python.org/pypi/streamz/

.. |RAPIDS custreamz gpuCI| image:: https://img.shields.io/badge/gpuCI-custreamz-green

   :target: https://github.com/jdye64/cudf/blob/kratos/python/custreamz/custreamz/kafka.py