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reproducible-science

Scaffold reproducible science workflows in one command.

Install

pip install reproducible-science

This installs repro and its three dependencies: prereg, citations, results-cli.

Quick start

repro init my_experiment
initializing my_experiment
  wrote my_experiment/PREREG.md
  wrote my_experiment/.results/ledger.jsonl
  wrote my_experiment/.citations/
  wrote my_experiment/CLAUDE.md

This creates:

my_experiment/
    PREREG.md           the plan (OSF headings)
    CLAUDE.md           tells Claude Code about the tools
    .results/           results ledger
    .citations/         citation library
    claims/             claim files for citation verification
    data/               raw data
    scripts/            analysis scripts
    figures/            output figures

Verify everything at once

cd my_experiment
repro verify

Runs prereg check, results verify --files, and citations verify --claims claims/ in sequence.

The workflow

prereg freeze                         # lock the plan
results seal PREREG.md analysis.py    # hash inputs
results access "read metadata" --level "metadata only"

# run the computation

results run output.json --run-id exp_001
results claim "ICC = 0.42" --run-id exp_001 --confirmatory --location "Table 2"
repro verify                          # check everything

What's included

Tool CLI PyPI What it does
prereg prereg prereg Freeze a plan before running, record what changed after
citations citations citations Verify quotations resolve in pinned source artifacts
results results results-cli Seal inputs, record outputs, bind claims to runs, verify the chain

Claude Code

This repo is also a Claude Code plugin marketplace bundling all three tools:

/plugin marketplace add elliottower/reproducible-science

Or install them individually: elliottower/prereg, elliottower/citations, elliottower/results.

MIT licensed.

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