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BayesFlow vs OApackage (Orthogonal Array Package)

Both stand on statistical analysis software. Which one you can start free with, which one lets you read the code, and what each costs once you pay.

BayesFlow

Free plan LinuxMacSelf-hosted+1

BayesFlow focuses on neural, simulation-based Bayesian inference with modular workflows and several backend choices. Check the separate backend requirement and JAX-only PyMC support before adopting it.

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OApackage (Orthogonal Array Package)

Free plan APILinuxSelf-hosted+1

OApackage focuses on orthogonal-array and optimal-design generation and analysis, with several interfaces and file formats. Its narrow statistical scope matters if you require regression, Bayesian analysis, or general statistical testing.

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The facts

BayesFlowOApackage (Orthogonal Array Package)
Free planYesYes
Open sourceNot publishedNot published
Runs onLinux, Mac, Self-hosted, WindowsAPI, Linux, Self-hosted, Windows
Lowest paid planNot publishedFree or on request
Plans publishedNone1
MakerNot publishedNot published
Websitebayesflow.orgoapackage.readthedocs.io
On statistical analysis software#30 of 106#26 of 106

BayesFlow: what it does well

  • Free plan and MIT license
  • Supports JAX, PyTorch, and TensorFlow
  • Multiple Bayesian inference workflows
  • Configurable modular components
  • Runs on Linux, macOS, and Windows

What to know first

  • Requires a separately installed machine-learning backend
  • PyMC integration supports JAX only
  • No statistical tests or regression models
  • No free trial

OApackage (Orthogonal Array Package): what it does well

  • Free BSD-style licensed package
  • Python, C++, Matlab, R, and command-line interfaces
  • Reads text, binary, and gzip-compressed arrays
  • Calculates D-efficiency and array criteria
  • Supports normal forms and isomorphism testing

What to know first

  • No statistical tests
  • No regression models
  • No Bayesian analysis
  • Compressed files cannot be written

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