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@ -13,7 +13,6 @@ Inspired by [awesome-php](https://github.com/ziadoz/awesome-php).
- [Built-in Classes Enhancement](#built-in-classes-enhancement) - [Built-in Classes Enhancement](#built-in-classes-enhancement)
- [Caching](#caching) - [Caching](#caching)
- [ChatOps Tools](#chatops-tools) - [ChatOps Tools](#chatops-tools)
- [Cluster Computing](#cluster-computing)
- [CMS](#cms) - [CMS](#cms)
- [Code Analysis](#code-analysis) - [Code Analysis](#code-analysis)
- [Command-line Tools](#command-line-tools) - [Command-line Tools](#command-line-tools)
@ -31,6 +30,7 @@ Inspired by [awesome-php](https://github.com/ziadoz/awesome-php).
- [Debugging Tools](#debugging-tools) - [Debugging Tools](#debugging-tools)
- [Deep Learning](#deep-learning) - [Deep Learning](#deep-learning)
- [DevOps Tools](#devops-tools) - [DevOps Tools](#devops-tools)
- [Distributed Computing](#distributed-computing)
- [Distribution](#distribution) - [Distribution](#distribution)
- [Documentation](#documentation) - [Documentation](#documentation)
- [Downloader](#downloader) - [Downloader](#downloader)
@ -205,18 +205,6 @@ Inspired by [awesome-php](https://github.com/ziadoz/awesome-php).
* [Errbot](https://github.com/errbotio/errbot/) - The easiest and most popular chatbot to implement ChatOps. * [Errbot](https://github.com/errbotio/errbot/) - The easiest and most popular chatbot to implement ChatOps.
## Cluster Computing
*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/).
## Code Analysis ## Code Analysis
*Tools of static analysis, linters and code quality checkers. See: [awesome-static-analysis](https://github.com/mre/awesome-static-analysis).* *Tools of static analysis, linters and code quality checkers. See: [awesome-static-analysis](https://github.com/mre/awesome-static-analysis).*
@ -461,6 +449,20 @@ Inspired by [awesome-php](https://github.com/ziadoz/awesome-php).
* [SaltStack](https://github.com/saltstack/salt) - Infrastructure automation and management system. * [SaltStack](https://github.com/saltstack/salt) - Infrastructure automation and management system.
* [supervisor](https://github.com/Supervisor/supervisor) - Supervisor process control system for UNIX. * [supervisor](https://github.com/Supervisor/supervisor) - Supervisor process control system for UNIX.
## Distributed Computing
*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/).
## Distribution ## Distribution
*Libraries to create packaged executables for release distribution.* *Libraries to create packaged executables for release distribution.*