Smartbooks

Notebooks built the way they should be

Analyze data from the sources you want the way you want. Answering ad hoc questions and uncovering novel insights has never been easier. Fabi.ai is reinventing notebooks with AI built in.
Smartbooks

Trusted by forward-thinking data teams

The old way

2010 Notebooks

The new way

2024 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

Use Cases

Supercharge your analysis abilities

Agile data exploration

Break data silos and uncover insights faster with seamless integration of multiple data sources and AI-assisted querying.

Advanced analytics & machine learning

Build predictive models and perform complex analyses in a fraction of the time using the combined power of SQL and Python.

Collaborative data analysis

Foster seamless teamwork and knowledge sharing with real-time collaboration features and version control.

Rapid prototyping & iteration

Quickly test hypotheses and iterate on analyses using a flexible environment that combines SQL, Python, and AI assistance.

Streamlined reporting workflow

Cut out context switching and deliver reports directly from your analysis environment, saving time and reducing errors.

Pure Python

Dashboards-as-code starts with a strong foundation. No more .ipynb or YAML for your analyses.

Agile data exploration

Break data silos and uncover insights faster with seamless integration of multiple data sources and AI-assisted querying.

Advanced analytics & machine learning

Build predictive models and perform complex analyses in a fraction of the time using the combined power of SQL and Python.

Collaborative data analysis

Foster seamless teamwork and knowledge sharing with real-time collaboration features and version control.

Rapid prototyping & iteration

Quickly test hypotheses and iterate on analyses using a flexible environment that combines SQL, Python, and AI assistance.

Streamlined reporting workflow

Cut out context switching and deliver reports directly from your analysis environment, saving time and reducing errors.

Pure Python

Dashboards-as-code starts with a strong foundation. No more .ipynb or YAML for your analyses.

Features

Features that will change your standards

LLM-powered assistance
Generate context-aware code and debug with AI. Accelerate development with intelligent autocomplete and error correction.
SQL-Python integration
Switch effortlessly between SQL queries and Python code. Leverage the strengths of both languages for flexible, powerful analysis.
In-memory cross-source joins
Quickly combine data from multiple sources. Perform efficient joins without time-consuming ETL processes.
Reactive analysis
Automatically update dependent analyses when source data changes. Maintain data lineage throughout your workflow.
Always-on computation
Eliminate interruptions from kernel restarts. Maintain your analysis state for uninterrupted productivity.
Data warehouse connectors
Seamlessly integrate with Snowflake, Redshift, and BigQuery. Connect to all your data, no matter where it lives.
Collaborative editing
Co-edit notebooks in real time and ensure consistency with distributed version control system.
Git-based version control
Track changes with commit-level granularity. Manage branches and merges directly within the notebook interface.
Notebooks as .py files
All Smartbooks and Smart Reports are written in pure Python framework to make version control and collaboration a breeze.
SQL & Python AI code generation
Leverage context-aware AI for fast, accurate SQL and Python code generation.

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.

Somrat Niyogi
Somrat Niyogi
Founder - Recall Capital

Redefine what's possible with your data.

Frequently Asked Questions

How does Smartbooks differ from traditional notebooks like Jupyter?

Smartbooks is the next evolution in data analysis, far surpassing traditional notebooks. 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.

Can Smartbooks handle large datasets?

Yes, Smartbooks is designed to handle large datasets efficiently. It features 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.

How does the AI-powered assistance work?

Smartbooks' AI assistance is powered by advanced language models and is deeply integrated into the platform. It offers context-aware code generation, error correction, and natural language querying. The AI leverages metadata and semantic information to provide more accurate and relevant assistance throughout your analysis process.

Is Smartbooks suitable for collaborative work?

Absolutely! Smartbooks is built with collaboration in mind. It offers 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.

How secure is my data when using Smartbooks?

We view security as a fundamental commitment, not just a feature, taking a proactive approach to stay ahead of potential threats in the rapidly evolving AI landscape. We employ state-of-the-art encryption, granular access controls, and continuous monitoring to protect your data with the same vigilance we apply to our own. Our dedicated team works tirelessly to maintain data integrity and confidentiality, ensuring you can confidently step into the future of AI-powered analytics with Smartbooks.

How does SQL and Python AI code generation handle messy data?

Fabi.ai Smartbooks are designed to handle complex questions no matter how organized your data is. The AI agent can reason through problems using hyper-aware context, and the analyst remains in full control with the ability to edit the AI-generated code.