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        "author": "Saad Talaat",
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            "Programming Language :: Python :: 3"
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        "description": "# Motiv\n**Simple and Efficient processing pipelining.**\n\n[![Build Status](https://travis-ci.com/SaadTalaat/motiv.svg?branch=master)](https://travis-ci.com/SaadTalaat/motiv)\n[![Total alerts](https://img.shields.io/lgtm/alerts/g/SaadTalaat/motiv.svg?logo=lgtm&logoWidth=18)](https://lgtm.com/projects/g/SaadTalaat/motiv/alerts/)\n[![codecov](https://codecov.io/gh/SaadTalaat/motiv/branch/master/graph/badge.svg)](https://codecov.io/gh/SaadTalaat/motiv)\n[![License](https://img.shields.io/badge/license-Apache%202-blue.svg)](https://github.com/SaadTalaat/motiv)\n[![Gitter chat](https://badges.gitter.im/gitterHQ/gitter.png)](https://gitter.im/pymotiv)\n[![PyPI](https://img.shields.io/pypi/v/motiv.svg)](https://pypi.org/project/motiv/)\n\nMotiv is a framework to ease and enables building minimal pipelines and pipeline-like applications. It abstracts away communication, messaging patterns and execution patterns.\n\n## When to use Motiv?\nMotiv is for minimal pipelining and pipeline-like applications, you can build a tightly-coupled or a loosely-coupled pipeline using it. However, if you're pipeline's purpose is data processing, motiv is a good start. If the purpose is *big* data processing, then you're better off using a big data processing engine (e.g. Spark).\n\n## Why Motiv?\nMotiv is simple, it provides many messaging-patterns, it manages them for you and it provides you direct control over them. Motiv is stateless, and so should the applications that use it. Motiv uses efficient and very fast communication/message-passing ([zmq](http://zeromq.org/)) for the underlying communication.\n\n## Installation\n\n```bash\n$ pip install motiv\n```\nor (recommended)\n```bash\n$ git clone git@github.com:SaadTalaat/motiv.git\n$ cd motiv\n$ python3 setup.py install\n```\n\n## Quickstart\nMotiv has two type of patterns that are glued together to form a component in a pipeline. A stream (messaging-pattern) and an actor (execution-pattern). Streams can be a `Emitter`, `Subscriber`, `Ventilator`, `Worker`, `Sink`. an actor can be `Ticker` or `Proxy`.\n\n**Streams?**\n\nStreams are boilerplate messaging-patterns that either send out messages or receive messages. for example an `Emitter` has a typical publisher behavior. Unlike the `Emitter` A `Ventilator` distributes messages between listening components (workers).\n\n**Execution patterns?**\n\nAn execution pattern defines how a component should execute, for example, a component can simply be a `Proxy` between two streams that forwards messages received over subscriber stream to a ventilator, or from a worker to a publisher, or from a worker to a sink. It can also be a `Ticker` which is execute-till-halt event-loop with each cycle calling `Ticker.tick` method function, this type of behavior is convenient for processing incoming messages and sending out results to different actors or do an action depending on these messages.\n\n**Streams + Execution Pattern**\n\nAn execution pattern or an actor expects to have an input stream or output stream or both for it to be runnable.\n\n## Examples\nSee examples: [motiv/examples/](https://github.com/SaadTalaat/motiv/tree/master/motiv/examples)\n\nRun examples,\n```bash\n$ git clone git@github.com:SaadTalaat/motiv.git\n$ cd motiv\n$ python3 motiv/examples/workers.py\n....\n$ python3 motiv/examples/pubsub.py\n```\n## Disclaimer\nMotiv is still in development, master might not be stable, features will be rolled out fast. I encourage you to fix any code you see wrong, raise any issues that concern you and actively participate in developing *Motiv*.\n\n\n",
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