What makes Livedocs different from Jupyter Notebooks?

Livedocs is reactive, meaning if you change a top cell, all dependent cells update automatically. It also includes a built-in AI agent and allows for one-click publishing of notebooks as interactive web apps.

Can I use SQL and Python together?

Yes, Livedocs supports both languages in the same document. You can query a database with SQL and immediately process the resulting dataframe with Python code.

Does Livedocs support real-time collaboration?

Real-time collaboration is available on the Pro plan and above, allowing multiple users to work in the same notebook simultaneously.

What data sources can I connect to?

Livedocs supports file formats like CSV, Excel, and Parquet, as well as databases including Postgres, ClickHouse, Snowflake, BigQuery, and Databricks.

Is there a free version available?

Yes, Livedocs offers a Free Forever plan for individuals that includes 3 notebooks and basic data source access.

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Data analysis

Freemium

Livedocs

An AI-native data notebook and agent that combines SQL, Python, and natural language to analyze datasets and build interactive, shareable data apps for collaborative teams.

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Rating

Reviews

Upvotes

4 months ago

Listed

Data analysis

SQL assistant

Python

Business Intelligence

Data Visualization

Collaboration

AI Agent

Notebook

Tool information

Provider

Arsalan Bashir

Platforms

Web

Languages

English

Added to directory

4 months ago

Last updated

about 2 months ago

Rating

Not available

Pricing

Freemium

About Livedocs

What the tool does and who it's for

Livedocs is an AI-native data workspace that functions as an intelligent IDE for collaborative teams. It combines a reactive notebook environment with a general-purpose data agent, allowing users to analyze data using natural language, SQL, or Python. Unlike traditional notebooks, Livedocs features reactive cells that automatically update when dependencies change, preventing execution order errors. It integrates modern query engines like Polars and DuckDB for high performance on large datasets and enables one-click publishing of notebooks into interactive web applications for non-technical stakeholders.

Key capabilities

Reactive Notebook: Cells automatically recalculate when their dependencies change, ensuring data consistency.

Dual-Language IDE: Write SQL and Python side-by-side in a single workspace with seamless data passing.

AI Data Agent: Ask questions in plain language to generate code, fix errors, or explain complex results.

One-Click App Publishing: Turn any analysis notebook into a shareable interactive dashboard without writing deployment code.

High Performance: Powered by DuckDB and Polars for rapid processing of large CSVs and data warehouse queries.

Real-time Collaboration: Multiple team members can edit and execute data workflows simultaneously.

Multi-Source Integration: Connects to Snowflake, BigQuery, Postgres, ClickHouse, Google Drive, and more.

Interactive Visualizations: Built-in tools for creating dynamic charts and KPI dashboards directly from queries.

Pricing

Freemium — plans below

Free

3 notebooks max
1 user only
4 GB RAM / 0.5 vCPU
$5 AI credits monthly cap
Basic data sources (CSV, JSON, Excel)

Builder

$15/mo

5 notebooks max
1 user only
8 GB RAM / 2 vCPU
$5 AI credits included (then pay-as-you-go)
Basic data sources only

Pro

Enterprise

Contact sales

On-premise deployment
SSO and custom authentication
Dedicated support and onboarding
Custom machine profiles

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