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Black-it vs rmcmc

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.

Black-it

Free plan Linux

Black-it provides calibration and optimization tools for agent-based simulations, with extensible interfaces and parallel execution. Its Python and licensing requirements should be checked before adoption.

Visit Black-it

rmcmc

Free plan

rmcmc offers configurable MCMC sampling with adaptation, diagnostics-ready output, and optional Stan integration. Its usefulness depends on working in R and, for Stan workflows, installing BridgeStan’s interface.

Visit rmcmc

The facts

Black-itrmcmc
Free planYesYes
Open sourceNot publishedNot published
Runs onLinuxNot published
Lowest paid planNot publishedNot published
Plans publishedNoneNone
MakerNot publishedNot published
Websitebancaditalia.github.iogithub-pages.ucl.ac.uk
On statistical analysis software#85 of 106#89 of 106

Black-it: what it does well

  • Free and open source
  • Many documented sampling algorithms
  • Supports custom models and loss functions
  • Parallel CPU execution by default
  • Restorable batch checkpoints

What to know first

  • Requires Python 3.9 or later
  • Poetry is also listed as a requirement
  • AGPLv3+ licensing applies
  • Linux is the listed platform

rmcmc: what it does well

  • Free MIT-licensed R package
  • Four Metropolis-Hastings proposal types
  • Warm-up scale and shape adaptation
  • Optional warm-up traces and statistics
  • BridgeStan and Stan model integration

What to know first

  • Requires R and package installation
  • BridgeStan features require its R interface
  • Main-chain proposal settings stay fixed after warm-up
  • GitHub issues are the listed bug-report route

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