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@ -518,6 +518,7 @@ Inspired by [awesome-php](https://github.com/ziadoz/awesome-php).
* [mrjob](https://github.com/Yelp/mrjob) - Run MapReduce jobs on Hadoop or Amazon Web Services. * [mrjob](https://github.com/Yelp/mrjob) - Run MapReduce jobs on Hadoop or Amazon Web Services.
* [PySpark](https://pypi.org/project/pyspark/) - [Apache Spark](https://spark.apache.org/) Python API. * [PySpark](https://pypi.org/project/pyspark/) - [Apache Spark](https://spark.apache.org/) Python API.
* [Ray](https://github.com/ray-project/ray/) - A system for parallel and distributed Python that unifies the machine learning ecosystem. * [Ray](https://github.com/ray-project/ray/) - A system for parallel and distributed Python that unifies the machine learning ecosystem.
* [Xorbits](https://github.com/xorbitsai/xorbits) - A scalable and distributed system that scales many python libraries including numpy, pandas, sklearn, etc.
* Stream Processing * Stream Processing
* [faust](https://github.com/robinhood/faust) - A stream processing library, porting the ideas from [Kafka Streams](https://kafka.apache.org/documentation/streams/) to Python. * [faust](https://github.com/robinhood/faust) - A stream processing library, porting the ideas from [Kafka Streams](https://kafka.apache.org/documentation/streams/) to Python.
* [streamparse](https://github.com/Parsely/streamparse) - Run Python code against real-time streams of data via [Apache Storm](http://storm.apache.org/). * [streamparse](https://github.com/Parsely/streamparse) - Run Python code against real-time streams of data via [Apache Storm](http://storm.apache.org/).