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CMA Comps Report Generator

Comps CSV in, a price-per-sqft chart and a suggested value range out.

K3N8H Verified

  • βœ“ Real preview shipped
  • βœ“ License terms specified
  • βœ“ Setup/usage instructions included
  • βœ“ Actually run before listing
  • βœ“ Stated limitations verified
Disclaimer: Outputs (charts, summary stats, and written insights) are generated from the data you provide and are only as accurate and complete as that data. Verify before making decisions on it.

Feed it a CSV of recently-sold comparable properties and your subject property's square footage. It computes price-per-sqft for every comp, generates a sorted bar chart, and writes a Markdown report with a suggested value range and a median-based estimate.

Runs where you work

desktopmobileoffline

Built for a private workflow: local-first execution, no forced cloud dependency, and a clear path to use it on a laptop or phone without an API key.

Included value

Privacy-first workflowPersonalized outputNo API required

Each product is designed to feel personal, useful, and complete without turning your work into an external dependency.

Free tools that go with this

These run in your browser, need no account, and keep what they remember on your own device.

CMA Comps Report Generator

1 image
CMA Comps Report Generator - Image 1
comps_chart.png

Real chart generated by running the script against the bundled sample-comps.csv.

What's included

  • cma_report.py + requirements.txt
  • sample_comps.csv
  • comps_chart.png (real generated chart)
  • example-report.md (real generated report)
  • README.md with stated input/output limits

Built with

Pythonmatplotlib

Runs locally with Python 3: no accounts, API keys or internet needed

See example-report.md and comps_chart.png β€” both generated by actually running cma_report.py against sample_comps.csv.

License & pricing

Try it before you buy. The preview above is the real product, not a mockup.

Personal License

$13

For your own work or your own business. No client work, and no resale or redistribution of the files.

What these licenses mean β†’

Refund terms are set per product, and checkout through Whop or Gumroad has its own buyer protection. Questions before you buy? Ask in the chat or on the feedback page; we'll help where we can.

Data Analyst Bots β€” publishing standard

  • Required deliverables: Sample dataset, Example output, Setup instructions, Stated input/output limits
  • Disclaimer required
  • README required
  • Proof-it-runs evidence required

No fabricated capabilities. State real limits on input size/format and output types.

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