BEAT

BEAT is a framework for the definition, execution and comparison of software-based data-driven workflows that can be sub-divided functionally (into processing blocks). The user provides the description of data exchange formats, algorithms, data flows (also known as toolchains) and experimental details (parameters). The framework can execute the experiment locally or in a computing infrastructure transparently. Results can be shared and compared via traditional exchange mechanisms or by using a web-based platform.

The BEAT framework is intended as a fundamental building-block in Reproducible Research, allowing academic and industrial parties to describe and exchange system behavior. The web-platform takes all burden of hosting data and software away from users by providing a capable computing farm that handles both aspects transparently. Data privacy is guaranteed inside the platform.

Start here

• Installation Instructions
• Introduction
  • A Simple Example
  • Design
• BEAT Components
  • Data formats
  • Algorithms
  • Libraries
  • Databases
  • Toolchains
  • Experiments
  • Plotters
  • Plotterparameters
• A Hands-On Tutorial
  • Requirements
  • The Prefix
  • The Workflow
  • A Sanity Check
  • The Iris LDA Experiment
  • Running the Iris LDA Experiment
  • Debugging the Iris LDA Experiment
  • The Iris Means Experiment
  • The Advanced Iris Experiment

BEAT software packages

• Core BEAT components

• BEAT Command-line Client

• Python Backend for BEAT

• Local Editor for BEAT Objects

• BEAT Web Application

Index of Packages

• beat.core
• beat.cmdline
• beat.backend.python
• beat.editor
• beat.web
• README of all Packages