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8 best Python Streaming Analytics libraries in 2022

by Open Weaver kits ✔

Python is one of the most popular and highly used programming languages. It is a general-purpose programming language that can be applied for data analysis, machine learning and web development. It is popular because of its simple syntax and easy to understand language structure. The Python community has a large selection of open source libraries and frameworks. It offers a rich library of pre-built functions and methods that are useful for streaming analytics. Python streaming analytics is an interesting tool that helps to analyze large amounts of data in a continuous process. This can be done to perform real-time analytics as well as to find out what’s happening in terms of data at any given moment. A few of the most popular Python Streaming Analytics open source libraries for developers are: boltstream - Boltstream Live Video Streaming Website Backend; m3u8 - Python m3u8 Parser for HTTP Live Streaming Transmissions; IPTV.bundle - Plex plugin that plays live streams from a M3U playlist.
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