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Best ChatGPT Apps for Data and Analytics (2026)

Data and analytics inside ChatGPT cover three jobs — querying a structured store, modeling and computing in a spreadsheet or math engine, and reasoning over data-shaped code. The apps below rank for each, in order of editorial score. We weight reliability heavily here because confidently wrong numbers are worse than no number, and analytical use cases are where hallucinations cost the most.

Updated Jun 10, 20265 appsEditorial only — no user ratings

What this list covers

This page filters our full rankings to apps that contribute to a data or analytics workflow: structured-base queries against a real schema, spreadsheet modeling and formula generation, symbolic and quantitative computation, and code-grounded analytical reasoning over a repo. Apps must be editorially scored using our standard seven-criteria methodology.

Decision rules

How to pick

Match your situation on the left to the app on the right.

If you query a structured base with rows and views
Airtable
If you build models in a spreadsheet
Microsoft Excel
If you need exact symbolic, unit, or quantitative computation
Wolfram
If your analytical data lives in a codebase or notebook
GitHub
If your analytics are payments and revenue data
Stripe

Ranking table

Frequently asked questions

What counts as a 'data and analytics' ChatGPT app on this list?
Any ChatGPT app that lets you query, model, or compute against a real data source from chat — structured stores, spreadsheets, math engines, code repos, payments data. The model alone is not enough for analytical work; the connection to a real source is what separates the apps that move scores from the ones that just chat.
How is this different from the Research category?
Research apps surface source documents and ground qualitative reasoning. Data and analytics apps query structured data, compute, and return numbers you can trust. The overlap is real (Wolfram appears on both) but the use cases differ — Research answers 'where is this from?', Data answers 'what does it equal?'.
Can ChatGPT replace a BI tool?
No, and the apps on this list don't try to. They cover the conversational layer on top of a real source — fast questions you'd otherwise SQL or open a dashboard for. Heavy dashboarding, scheduled reports, and warehouse-scale queries still belong in a BI tool.
Why is Wolfram listed here when it appears on the Research and Students pages?
Wolfram is the strongest computational engine in the directory — anywhere the answer is quantitative and needs to be right (research, students, data analytics), it earns a spot. Each category framing emphasizes the use case relevant to that audience, but the underlying app is the same.