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Rt 106 is a scalable, containerized analytics and application framework for creating interactive web applications around long running (batch style) analytics. The Rt 106 SDK and base Docker images allow analytic developers to author analytics in any language (C++, Python, Java) while the Rt 106 AngularJS and Node.js services allow application developers to author custom end-user web applications. Rt 106 uses service discovery and self description to dynamically add (and remove) analytics and their UI's to applications, analytic specific job queues for scaling analytic executions, and an abstract REST interface to a bulk datastore to deploy in a variety of environments (desktop, cloud). Rt 106 provides a data model that separates source/primary data from result/derived data and analytic execution provenance so analytic results can be documented and reproduced.

Rt 106 Technology Stack

Rt 106 uses dozens of Open Source packages, with main components of the Rt 106 architecture using:

  • Docker
  • Node.js
  • Angular
  • Bootstrap
  • RabbitMQ
  • MySQL
  • Cornerstone
  • Python
  • Flask
  • Consul
  • Registrator

Rt 106's Projects

rt106 icon rt106

Rt 106 is a scalable, containerized analytics and application framework for creating interactive web applications around long running (batch style) analytics.

rt106-datastore icon rt106-datastore

REST API for a rt106-datastore. This repo serves as a base image for concrete implementations of a datastore, e.g. rt106-datastore-local.

rt106-datastore-local icon rt106-datastore-local

Concrete implementation of a Rt 106 datastore that uses a directory structure on the filesystem to manage data. Data is served over a REST API implemented in rt106-datastore.

rt106.github.io icon rt106.github.io

Documentation for Rt 106 - A scalable, containerized analytic and application framework for creating interactive web applications around long running (batch style) analytics.

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