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Research Benchmarks

Misata includes an offline benchmark harness for comparing a proof-backed Misata workflow with a hand-written Faker baseline.

python benchmarks/bench_research_moat.py

The harness reports:

  • rows per second
  • foreign-key orphan count
  • reproducibility with a fixed seed
  • scenario-control support
  • Oracle report availability
  • a simple setup-effort proxy

The point is not to claim that one library is always faster. The point is to make Misata's research claim measurable: it generates relational data and a proof report from one high-level description, while manual baselines need custom glue code for schema, relationships, scenario logic, and checks.