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Slipstream

Slipstream provides a data-flow model to simplify development of stateful streaming applications.

pip install slipstream-async
from asyncio import run

from slipstream import handle, stream


async def messages():
    for emoji in '🏆📞🐟👌':
        yield emoji


@handle(messages(), sink=[print])
def handle_message(msg):
    yield f'Hello {msg}!'


if __name__ == '__main__':
    run(stream())
Hello 🏆!
Hello 📞!
Hello 🐟!
Hello 👌!

Usage

Slipstream components interoperate with basic python building blocks:

  • Any-thing can be passed around as data
  • Any Callable may be used as a sink
  • AsyncIterables act as sources
  • Parallelize through handle

A many-to-many relation is established by passing multiple sources / sinks.

Quickstart

Install Slipstream along with aiokafka (latest):

pip install slipstream-async[kafka]

Spin up a local Kafka broker with docker-compose.yml, using localhost:29091 to connect:

docker compose up broker -d

Copy-paste this snippet.

Features

Metadata

Release files for slipstream-async 1.0.5

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for slipstream-async 1.0.5
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slipstream_async-1.0.5.tar.gz 32.5 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for slipstream-async 1.0.5
File Interpreter ABI Platform
slipstream_async-1.0.5-py3-none-any.whl Python 3 none any Details

Total release size: 56.9 kB

Release files / slipstream_async-1.0.5.tar.gz

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Size 32.5 kB
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Size 24.4 kB
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