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Overview

StudPy is a collection of tools designed to support scientific studies by providing:

  • Parameters sampling definition and case datasets generation
  • Creation and preparation of process inputs assets
  • Execution management for orchestration, simulation execution, pre/post actions and results aggregation

The following schema illustrates the main objects:

Sub-Scopes

Although StudPy was designed to support an end-to-end study workflow, from sample generation to execution and result aggregation, it can also be used for individual stages of the process, such as

  • sampling and input asset generation only

  • or execution with pre/post actions only