Faust is a stream processing library, porting the ideas from Kafka Streams to Python.
It is used at Robinhood to build high performance distributed systems
and real-time data pipelines that process billions of events every day.
Faust provides both stream processing and event processing,
sharing similarity with tools such as
Kafka Streams, Apache Spark/Storm/Samza/Flink,
It does not use a DSL, it's just Python!
This means you can use all your favorite Python libraries
when stream processing: NumPy, PyTorch, Pandas, NLTK, Django,
Flask, SQLAlchemy, ++
Faust requires Python 3.6 or later for the new async/await syntax,
and variable type annotations.
Based on the "Concurrency and Parallelism" category.
Alternatively, view Faust alternatives based on common mentions on social networks and blogs.
* Code Quality Rankings and insights are calculated and provided by Lumnify.
They vary from L1 to L5 with "L5" being the highest.
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