Analytics Automated

Analytics Automated is a lightweight framework for configuring pipelines of data processing tasks which users can call as webservices. It is targeted principally at running statistical and mathematical models for the purposes of Data Science. You can however use it to convert any code in to a web service.

Another way to look at it is that it turns your data analysis pipelines in to RESTful web services for the purposes making your models part of your SOA.

And yet another way to look at this is a method for converting Python-Celery jobs in to web services

• Basic Installation
  • Code Dependancies
  • Pre-launch configuration
• How The System Works
  • Workflows
  • Running Jobs
  • Data Submission Overview
• Building Jobs Overview
  • Define a Backend
  • Defining a Task
  • Define a Job
  • Using Your Job
• Configuring A Basic Job
  • Backend
  • Task
  • Job
  • Endpoints
• Using A Basic Job
  • Endpoints
  • POST
  • GET
• Administration Overview
  • Backends & Tasks & Jobs
  • Submissions
  • Worker Admin
• Recipes for more advanced use-cases
• Advanced Uses
  • System details
  • New validators
  • Programmatic Admin
  • Yaml upload and download
  • Adding new celery queues
  • Authentication and queue management
  • Code tasks
• Periodic Tasks
• Configurations Settings
• Development Installation
  • How it works
  • Requirements
  • Setup of analytics automated
• Roadmap
  • Roadmap
• TODO
  • Production things