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Hex vs PandasAI

Two fact sheets from our own research, side by side — pricing, platforms, API access and status re-checked by us rather than quoted from the vendors.

The short answer

Free plan
Both have one
Public API
Both have one
Best fit
Hex: Data teams that move from ad-hoc notebooks to shared dashboards and apps · PandasAI: Data scientists who want to query dataframes by chat inside notebooks
Trust score
About even — Hex 84, PandasAI 86
Status
Both up at our last check — Hex Oct 29, 2026, PandasAI Oct 2, 2026

From our own records as of each tool's last check. Anything we have not confirmed is left out rather than guessed. How we verify

HexCollaborative data workspace that combines SQL and Python notebooks, an analytics agent, dashboards and data apps.PandasAIOpen-source Python library for asking questions of dataframes and databases in plain English, plus a hosted dashboard product.

Side by side

FactHexPandasAI
CategoryData Analysis AssistantsData Analysis Assistants
Pricing modelFreemiumFreemium
Starts at$36/seat/mo—
Public APIYesYes
Trust score84 / 10086 / 100
PlatformsWeb, APIWeb, API
CompanyHex Technologies Inc.Sinaptik GmbH
Launched—2023
Last verifiedOct 29, 2026Oct 2, 2026

What our research says

Hex

Hex fits data teams that write SQL and Python and want one place to explore, publish dashboards and give the rest of the company governed self-serve answers. A solo user who needs a quick spreadsheet-style chat over a CSV, or a company with no warehouse, will pay for much more than it uses.

Pros

  • SQL, Python and no-code cells in one reactive notebook
  • Analyses publish directly as dashboards and interactive apps
  • Agent answers are grounded in curated context with evals and spend observability
  • MCP server and REST APIs connect it to other tools and assistants

Cons

  • Per-editor pricing climbs quickly for larger teams; viewer-type Explorer seats are an Enterprise add-on
  • Larger compute profiles and GPUs cost extra per minute
  • SSO, audit logs and BYOK for model keys require Enterprise

PandasAI

A practical way to put a natural-language layer on top of pandas data or a SQL database, especially for analysts who know Python. It runs generated code, so the sandbox and privacy guidance in the docs deserve a careful read before pointing it at sensitive data. The hosted dashboard is a different, paid product, and its pricing is not visible without a browser.

Pros

  • MIT-licensed core library with an active public repository
  • Works with many models through LiteLLM
  • Connectors for common files and warehouses
  • Semantic layer lets you describe columns and metrics

Cons

  • Answers depend on the model and can be wrong for ambiguous questions
  • Some features sit behind a separate enterprise licence
  • Hosted dashboard pricing is not published in a readable form

Which one fits

Choose Hex if you need

  • Data teams that move from ad-hoc notebooks to shared dashboards and apps
  • Companies on Snowflake, BigQuery or Databricks that want governed self-serve analytics
  • Analysts who mix SQL, Python and charts in one document

Choose PandasAI if you need

  • Data scientists who want to query dataframes by chat inside notebooks
  • Analysts who need quick charts and answers from SQL or CSV sources
  • Teams that want an open-source base they can self-host with their own model

Hex vs PandasAI: the questions people ask

Is Hex cheaper than PandasAI?

Hex starts at $36/seat/mo. PandasAI has a free tier; what its paid plans cost is not confirmed by us yet.

Does Hex or PandasAI have a free tier?

Both: Hex has a free tier, and PandasAI has a free tier.

Which has a public API, Hex or PandasAI?

Both ship a public API, so either can be built on; the fact table above shows the platforms each one runs on.

More comparisons

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