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1+ <p align =" center " >
2+ <img height =" 220px " src =" https://github.com/user-attachments/assets/ebe3a950-5fbb-49d8-b6b1-f232ca7dc362 " alt =" Stream DaQ logo " >
3+ </p >
4+ <!-- TODO: Create a transparent version of the logo! -->
5+
6+ <p align =" center " >
7+ <a href="https://pypi.org/project/streamdaq/"><img src="https://badge.fury.io/py/streamdaq.svg" alt="PyPI version"></a>
8+ <a href="https://pypi.org/project/streamdaq/"><img src="https://img.shields.io/pypi/pyversions/streamdaq.svg" alt="Python versions"></a>
9+ <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>
10+ <a href="https://pepy.tech/project/streamdaq"><img src="https://pepy.tech/badge/streamdaq" alt="Downloads"></a>
11+ <a href="https://opensource.org/licenses/MIT"><img src="https://img.shields.io/badge/License-MIT-yellow.svg" alt="License: MIT"></a>
12+ </p >
213
314## TL; DR
4- Plug-and-play quality monitoring for high-volume and velocity data streams! In Python, of course!
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616``` python
717# pip install streamdaq
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