ADA: Automated Data Analyst

Spec sheet

Purpose

ADA analyzes CSV and Excel files to create a dashboard, executive brief, anomaly flags, forecast, and answers to plain-English questions with calculations shown.Read 7 Oct 2026 · github.com

Security

The security policy says hosted infrastructure processes network traffic and application memory, and cautions that the public hosted app is not thereby approved for regulated data.Read 7 Oct 2026 · github.com

Privacy

When run locally without an API key, file parsing, cleaning, schema detection, charts, anomaly detection, forecasting, and Ask ADA are computed locally.Read 7 Oct 2026 · github.com

Support

The README directs users to documentation, contributing guidance, GitHub issues, and the project roadmap.Read 7 Oct 2026 · github.com

License

ADA is MIT licensed, and the README says it may be used, changed, and shipped commercially with the copyright notice retained.Read 7 Oct 2026 · github.com

Maker

The repository credits Sainesh Nakra as the maker, and his site lists San Jose, California as his location.Read 7 Oct 2026 · github.com

AI safeguards

ADA validates model output against a typed schema and the actual data, and it never executes model-generated code.Read 7 Oct 2026 · github.com

Anomaly detection

Anomaly flags identify periods outside a calibrated band, sized so a stable series false-alarms about once in twenty analyses.Read 7 Oct 2026 · github.com

Ask ADA

Plain-English questions are answered with pandas calculations, and the calculation is shown with the answer.Read 7 Oct 2026 · github.com

Calculations

ADA shows the calculation behind its findings and labels recommendations as interpretation rather than cause.Read 7 Oct 2026 · github.com

Dashboard

The dashboard includes trends, segment breakdowns, a movement waterfall, and a segment-by-period heatmap.Read 7 Oct 2026 · github.com

Downloads

ADA can download a Markdown executive brief and a cleaned CSV.Read 7 Oct 2026 · github.com

Exports

Users can download a Markdown executive brief and a cleaned CSV.Read 7 Oct 2026 · github.com

File limits

The stated limits are 25 MB per file and 250,000 analyzed rows; supported formats are .csv, .xlsx, and .xlsm.Read 7 Oct 2026 · github.com

Forecasting

Forecasting uses a guarded baseline that declines to run on thin history and reports when it does no better than assuming no change.Read 7 Oct 2026 · github.com

Hosted demo privacy

The hosted demo holds uploaded files in session memory and does not write them to a database.Read 7 Oct 2026 · github.com

Integration

The maker describes an optional OpenAI integration for planning questions the rule parser cannot handle; pandas executes the resulting calculation locally.Read 7 Oct 2026 · saineshnakra.medium.com

Local processing

When self-hosted, file parsing, cleaning, charts, forecasting, and supported question answering run locally with pandas and no network call.Read 7 Oct 2026 · github.com

Local use

ADA can be run as a Streamlit app from its source repository, and the README says no API key is required.Read 7 Oct 2026 · github.com

Optional AI

Optional, button-triggered AI calls require a key and receive schema and computed evidence rather than uploaded rows; the README notes evidence may include segment labels.Read 7 Oct 2026 · github.com

Security limitation

The maker says the hosted app is not thereby an approved environment for regulated data.Read 7 Oct 2026 · github.com

Where Specifiction places it

• AI Data Analysis Tools#14 of 277.7