-[Built-in Classes Enhancement](#built-in-classes-enhancement)

-[Caching](#caching)

-[ChatOps Tools](#chatops-tools)

-[Cluster Computing](#cluster-computing)

-[CMS](#cms)

-[Code Analysis](#code-analysis)

-[Command-line Tools](#command-line-tools)

-[Debugging Tools](#debugging-tools)

-[Deep Learning](#deep-learning)

-[DevOps Tools](#devops-tools)

-[Distributed Computing](#distributed-computing)

-[Distribution](#distribution)

-[Documentation](#documentation)

-[Downloader](#downloader)

*[Errbot](https://github.com/errbotio/errbot/) - The easiest and most popular chatbot to implement ChatOps.

*Frameworks and libraries for Cluster Computing.*

*[PySpark](https://pypi.python.org/pypi/pyspark/) -[Apache Spark](https://spark.apache.org/) Python API.

*[dask](https://dask.pydata.org/en/latest/) - A flexible parallel computing library for analytic computing.

*[faust](https://github.com/robinhood/faust) - A stream processing library, porting the ideas from[Kafka Streams](https://kafka.apache.org/documentation/streams/) to Python.

*[luigi](https://github.com/spotify/luigi) - A module that helps you build complex pipelines of batch jobs.

*[mrjob](https://github.com/Yelp/mrjob) - Run MapReduce jobs on Hadoop or Amazon Web Services.

*[Ray](https://github.com/ray-project/ray/) - A system for parallel and distributed Python that unifies the machine learning ecosystem.

*[streamparse](https://github.com/Parsely/streamparse) - Run Python code against real-time streams of data via[Apache Storm](http://storm.apache.org/).

*Tools of static analysis, linters and code quality checkers. See:[awesome-static-analysis](https://github.com/mre/awesome-static-analysis).*

*[SaltStack](https://github.com/saltstack/salt) - Infrastructure automation and management system.

*[supervisor](https://github.com/Supervisor/supervisor) - Supervisor process control system for UNIX.

*Frameworks and libraries for Distributed Computing.*

* Batch Processing

*[PySpark](https://pypi.python.org/pypi/pyspark/) -[Apache Spark](https://spark.apache.org/) Python API.

*[dask](https://github.com/dask/dask) - A flexible parallel computing library for analytic computing.

*[luigi](https://github.com/spotify/luigi) - A module that helps you build complex pipelines of batch jobs.

*[mrjob](https://github.com/Yelp/mrjob) - Run MapReduce jobs on Hadoop or Amazon Web Services.

*[Ray](https://github.com/ray-project/ray/) - A system for parallel and distributed Python that unifies the machine learning ecosystem.

* 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.

*[streamparse](https://github.com/Parsely/streamparse) - Run Python code against real-time streams of data via[Apache Storm](http://storm.apache.org/).

*Libraries to create packaged executables for release distribution.*