Smartbooks
AI-native data science notebooks
Loved by teams that deliver better, faster insights
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2010 Notebooks
2026 Smartbooks
Constant variable state management and kernel issues
Bouncing back and forth between LLMs and notebooks and copy/pasting
Non-Pythonic coding and and challenging version management
High latency, single-player environment
Reactive cells with variable staleness tracking and always-on kernels
Native, context-aware AI for Python and SQL code generation and fast debugging
100% Python-based framework for the best developer experience
Incredibly fast, multi-player Smartbooks and reports
Get insights today, from all your data
Modern reactive notebooks that track dependencies ensuring you don't run into any of the classic state management issues. Build reproducible analyses every time. Even when you share your work.
Use SQL, Python, or no-code cells: Filters and inputs, AI, Google Sheets, Slack... Using the right tool for the right part of the job has never been easier.
Move 10X faster with a purpose-built AI analyst agent that understands your business and your data. Analyst Agent can query your data, write code, create charts or perform any other part of the work that you need help with.
Add filters and inputs and share your work with your team in two clicks. The easiest path from raw analysis to beautiful, interactive dashboards and reports.
With thousands of database, data warehouse and application connectors, Fabi works with all your data. No more exporting or copy-pasting data and spreadsheets.
Modern reactive notebooks that track dependencies ensuring you don't run into any of the classic state management issues. Build reproducible analyses every time. Even when you share your work.
Use SQL, Python, or no-code cells: Filters and inputs, AI, Google Sheets, Slack... Using the right tool for the right part of the job has never been easier.
Move 10X faster with a purpose-built AI analyst agent that understands your business and your data. Analyst Agent can query your data, write code, create charts or perform any other part of the work that you need help with.
Add filters and inputs and share your work with your team in two clicks. The easiest path from raw analysis to beautiful, interactive dashboards and reports.
With thousands of database, data warehouse and application connectors, Fabi works with all your data. No more exporting or copy-pasting data and spreadsheets.
Removing all limits on your data analysis
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Fabi.ai is transforming the way insights are gathered and consumed in the enterprise. Any company not using Fabi.ai is choosing to operate at a disadvantage.
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Frequently Asked Questions
Smartbooks are a better alternative to Google Colab for data analysis. While both are Jupyter-based collaborative notebooks, Smartbooks are purpose-built for BI workflows with reactive cells that automatically re-run when data changes, unlike Colab's static notebooks. They're AI-native with built-in querying capabilities and integrate directly with your data sources through Fabi's natural language interface, making them faster and more efficient for analysts who need more than just a general-purpose coding environment.
Smartbooks are AI notebooks that far surpass traditional notebooks, showcasing the next evolution of data analysis. We offer native SQL support with seamless Python integration, LLM-powered AI assistance for code generation and debugging, reactive cells that automatically update downstream code, integrated version control, and efficient kernel management. This future-proof design eliminates the limitations of outdated notebook environments.
Yes, Smartbooks is designed to handle large datasets efficiently. Our AI notebooks feature DuckDB integration, allowing you to process millions of rows without needing complex systems like PySpark. Additionally, Smartbooks integrates with cloud data warehouses such as Snowflake, Redshift, and BigQuery for scalable data processing.
Absolutely! Smartbooks is built with collaboration in mind. Our AI notebooks offer real-time collaboration features, shared notebooks, inline commenting, and version history. You can easily control access levels for different stakeholders, allowing them to view code, run reports, or modify analyses as needed.
Simply click the "Build Dashboard" button in your AI notebook. Your analysis automatically becomes an interactive dashboard that can be scheduled to run regularly and shared with stakeholders.
Smartbooks improve self-service analytics by removing the main bottlenecks that force teams to wait on data engineers. The AI-native interface lets analysts query data using natural language instead of writing SQL, making analysis accessible to non-technical users.
Anyone on your team can use Smartbooks, from business users who query data with natural language to data scientists who need full Python flexibility for advanced analysis.