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Exhibit

PyPI Python CI License: BSL 1.1

Exhibit is a data-analysis CLI that shows its work — every analysis is a persistent, replayable investigation: an append-only graph of typed steps (question → plan → read-only SQL → result → evidence-backed conclusion), not a chat transcript. Load a CSV/Parquet file (or snapshot a Postgres table), ask in plain English, and get an inspectable, replayable, exportable trail.

Read-only by construction. Data is loaded once into a per-investigation DuckDB opened read-only with external access disabled; every generated query is parsed by a static guard that permits a single SELECT and blocks writes, ATTACH, COPY, and file access. See THREAT_MODEL.md.

Install

pip install exhibit-cli
export ANTHROPIC_API_KEY=...        # for Claude; or run fully offline with --llm mock

Use

exhibit start data.csv                                   # one file
exhibit start orders.csv customers.csv                   # several (joins across them)
exhibit start postgresql://user@host/db --tables orders  # live Postgres (read-only snapshot)

Then ask questions in plain English. Inside an investigation:

  • /judge — adversarial self-review (weak claims, missing evidence, untested alternatives)
  • /branch <id> <question> — fork a question off an earlier step
  • /rerun <id> — deterministically replay a stored query or a whole plan (no LLM)
  • /cost — token usage + cost for the session, including prompt-cache savings
  • /export [html] — Markdown, or a self-contained HTML report
  • /help — everything else

Resume anytime with exhibit open <id>.

License

Source-available under the Business Source License 1.1: read the source and use it freely in production, but don't offer a competing commercial or hosted data-analysis product. Converts to Apache-2.0 on 2030-07-31. Not an OSI open-source license.

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