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# Stream DaQ
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<p align="center">
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<img height="220px" src="https://github.com/user-attachments/assets/ebe3a950-5fbb-49d8-b6b1-f232ca7dc362" alt="Stream DaQ logo">
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</p>
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<!-- TODO: Create a transparent version of the logo! -->
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<p align="center">
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<a href="https://pypi.org/project/streamdaq/"><img src="https://badge.fury.io/py/streamdaq.svg" alt="PyPI version"></a>
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<a href="https://pypi.org/project/streamdaq/"><img src="https://img.shields.io/pypi/pyversions/streamdaq.svg" alt="Python versions"></a>
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<a href="https://bilpapster.github.io/stream-DaQ/"><img src="https://img.shields.io/website?label=docs&url=https%3A%2F%2Fbilpapster.github.io/stream-DaQ%2F" alt="Documentation"></a>
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<a href="https://pepy.tech/project/streamdaq"><img src="https://pepy.tech/badge/streamdaq" alt="Downloads"></a>
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<a href="https://opensource.org/licenses/MIT"><img src="https://img.shields.io/badge/License-MIT-yellow.svg" alt="License: MIT"></a>
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</p>
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## TL; DR
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Plug-and-play quality monitoring for high-volume and velocity data streams! In Python, of course!
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```python
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# pip install streamdaq

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