Files
datatools-dev/docs
Michael 3dd924474c docs: short-form numbered requirements list
New docs/REQUIREMENTS.md catalogs every shipped capability in 17 numbered
categories — file handling, input/output encodings, delimiters, line
endings, detectors, finding schema, confidence tiers, decisions,
performance targets (1 GB), tools, gate behavior, interfaces, platforms,
deps, test coverage, privacy. Linked from README and USER-GUIDE so a
buyer / integrator can scan compliance in under a minute.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-29 21:19:21 +00:00
..

Excel & CSV Data Cleaning Mastery Bundle

Ready-to-sell Python automation product. 9 scripts for data cleaning, deduplication, text hygiene, formatting, merging, validation, and reporting.

Each script ships with both a GUI (runs in your browser locally, no internet needed) and a CLI.

Cross-platform: Windows, macOS, Linux.


Quick Start (for buyers)

  1. Download the installer for your operating system.
  2. Run the installer. No Python knowledge required.
  3. Launch via the desktop shortcut "Launch Bundle" (or the app icon on macOS, or the AppImage on Linux).
  4. Your default browser opens to a local page where the data tool runs. Your data never leaves your computer.

Full instructions: see USER-GUIDE.md.


Documentation Index

Ships with the product (buyer-facing)

  • USER-GUIDE.md - Installation, script reference, usage examples for both GUI and CLI.

Creator-only (do not ship to buyers)

  • BUSINESS.md - Business case, market analysis, pricing, marketing strategy (including the hosted browser demo as a conversion lever).
  • TECHNICAL.md - Architecture (dual CLI + Streamlit GUI), build pipeline, dev standards.
  • DECISIONS.md - Locked criteria, scoring rubric, decisions log, rationale for product choices including the GUI framework decision.
  • RECOVERY.md - How to rebuild the entire project from scratch if lost.

Version: 1.6 Last updated: April 28, 2026 Owner: Michael