Skip to main content

Reactive data science

Project description

The Reactive Machine Learning Framework

https://badge.fury.io/py/makinage.svg Github WorkFlows Documentation

Maki Nage is a Reactive Data Science framework designed to work on streaming data.

This repository contains the Maki Nage CLI tools, used to deploy RxSci based applications on a Kafka cluster.

Installation

The Maki Nage CLI tools are available on pypi:

pip install makinage

Getting started

An application can be started by providing its manifest file. See the documentation for more information.

makinage --config myconfig.yaml

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

makinage-0.6.0.tar.gz (11.3 kB view hashes)

Uploaded Source

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page