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Fault tolerant analysis framework.

Project description


A framework to make analysis stages clear, self documenting, and fault tolerant.

See OKCompute Documentation for details.

Key Features

  • Graph of dependencies - Can figure out minimum analysis for set of outputs, or diagnose missing inputs
  • Minimum Boilerplate
  • Human Readable Reports - Generates HTML documentation implicitly inferred from code and comprehensive reports of what occured during a run
  • Support for Pandas dataframes with column validation
  • Can specify optional fields or a fallback value if a required field is missing
  • Full stack traces are logged in the run results if an exception occurs during analysis
  • Supports checking for intermediary results to avoid rerunning slow analysis steps
  • Makes writing unit tests extremely easy


  • Make generated documentation prettier
  • Better hashing of fields / metrics (avoid collisions based on string names)
  • Add way of specifying a list fields with name determined by data (thread names) with sub keys
  • Make helper functions to reduce boiler plate in saving / resuming from intermediary processing
  • Make reports returned by prune functions more consistent
  • Standardize config/input/output conventions
  • Should allow metric input/output be dicts?

Project details

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