AI analytics assistants · Fabi.ai

Fabi.ai

AI-native notebook combining SQL, Python, and chat-based analysis for building reactive dashboards and scheduled reports.

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Fabi.ai is a browser-based notebook, marketed as a Jupyter/Colab alternative, where SQL, Python, and an AI chat assistant sit side by side in reactive cells that automatically re-run when upstream data changes. A user can ask a question in plain English and have Fabi draft the underlying SQL or Python, then turn the result into a chart, dashboard, or scheduled report shared with non-technical viewers. Because the AI assistant is generating code against the connected warehouse or file, results are only as reliable as the schema and any semantic context supplied to it. It connects to standard warehouses as well as SaaS applications such as HubSpot and Shopify through paid connectors, and supports dbt and version control for teams that want their notebooks tracked like code. It is cloud-hosted only, sold per named 'Builder' seat with view-only seats included.

At a glance

Vendor Fabi.ai
Pricing model Free tier + paid plans
Free tier Yes
Deployment Cloud
Open source No
Best for Data teams that want a code-first AI notebook for ad hoc analysis and lightweight dashboards.

Pricing

Free Starter plan for one builder; paid Builder and Team plans price per builder seat with rising AI-request and viewer limits; app connectors are billed separately per connector.

Plan Price Notes
Starter Free 1 builder seat, 25 AI requests/month, 5 Smartbooks, 10 dashboard viewers, 1 data connector
Builder $39/month per seat Up to 3 builder seats, 300 AI requests/month, 10 Smartbooks, 25 viewers, 14-day free trial
Team $50/month per seat 4+ builder seats, unlimited AI requests & Smartbooks, 50 viewers, Slack app
Application connectors $100/month per connector Covers 200k monthly record updates; $50 per additional 100k records

Prices read from the vendor's own page on September 21, 2026. Vendors change prices; check the source before you budget.

Features

  • Reactive notebook cells combining SQL, Python, and AI chat
  • Natural-language to SQL/Python generation
  • Auto-updating dashboards and scheduled report delivery
  • Application connectors for SaaS tools (HubSpot, Shopify, Google Ads)
  • dbt and version-control integration
  • Shareable, view-only dashboard links
  • Slack app for querying from chat

Integrations

Profile last reviewed September 21, 2026

Alternatives

Julius AI Chat-based AI data analyst that answers questions over uploaded spreadsheets or connected databases and returns charts and explanations. Querio AI data platform built around version-controlled 'analytics as code' notebooks that answer questions against a defined context layer. Wren AI Open-source 'GenBI' engine that gives AI agents a governed semantic layer (MDL) for turning questions into SQL against a warehouse.

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Terms to know

Exploratory data analysis An open-ended first pass through a dataset to understand its structure and spot patterns before formal analysis. Natural language query Asking a data question in plain language and getting an answer without writing code or a query language. Dashboard A visual display of the metrics a team needs to monitor, usually updated on a schedule or in real time. dbt (data build tool) An open-source tool from dbt Labs that lets analytics teams write data transformations as version-controlled, tested SQL. AI copilot An AI tool embedded in a work application that assists a human with suggestions or drafts, rather than working unsupervised.

Related guides

How to choose an AI analytics assistant AI analytics assistants are only as accurate as the context they're given — choose by what they query and how that context is governed, not the demo.