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Livedocs

General-purpose AI agents that understand and analyze your data. From exploratory analysis to automated insights, Livedocs brings next-generation AI capabilities to data workflows across your organization.

Pricing
Freemium
Free, Builder, Pro, Custom

About Livedocs

Livedocs provides an AI-powered data analysis environment designed to turn questions about data into results quickly. It targets teams and individuals who work with data, offering a toolkit that blends notebooks, SQL, charts, and AI-driven insights in one place. The platform emphasizes speed, collaboration, and accessible analytics without heavy deployment work. It is a modern alternative to traditional data tooling for organizations with data workflows.

Livedocs operates by connecting to data sources, running analyses in reactive notebooks, and presenting results as interactive apps and visualizations. It supports editing, running parts of analyses selectively when dependencies change, and publishing results as shareable apps. The workflow integrates data import, real-time collaboration, and AI-assisted interpretation to help teams explore data in a unified space.

The tool highlights built-in support for multiple data formats and databases, a visual and code-friendly interface, and the ability to automate analysis through scheduling and AI prompts. It aims to reduce boilerplate, speed up data work, and enable non-technical stakeholders to understand results through business-language explanations and interactive visuals.

Livedocs offers a tiered pricing structure, a free-entry option, and team-oriented features such as collaboration, scheduling, and different data sources. It states on-page plans and deployment options, including enterprise considerations like on-premise deployment and SSO, with emphasis on a simple, transparent model and a focus on data-centric workflows.

Use cases

  • Ad-hoc data exploration and AI-assisted analysis.

Key features

  • Inputs: Transform static reports into interactive data apps and dashboards with real-time controls.
  • No more boilerplate code: AI helps write queries, analyze data with Python, fix bugs, and build charts.
  • Instant familiarity: Includes Python, SQL, DuckDB, pandas, polars, numpy, and more.
  • Reactive notebooks: Dependencies tracked, results marked fresh or stale, updates limited to what’s needed.
  • Built for speed: Performance-first architecture using Polars and DuckDB.
  • Explains like a human: AI translates technical work into business language.
  • Beautiful charts, no coding: Visualizations that make data compelling without code.
  • Smart cache: Reduces warehouse costs by avoiding repeated computations.
  • Secrets: Manage secrets outside notebooks; no passwords in code.
  • Comments: Collaborate with tags and comments to coordinate work.
  • Effortless AI: Run advanced NLP, embeddings, and ML with no code.
  • Schedule notebooks: Automate analysis pipelines and keep data fresh.
  • Share apps, not notebooks: Deploy interactive data apps for non-technical users.

Pros and cons

Pros

Reactive notebooks streamline workflows by updating only affected results.
Built-in support for multiple data sources and formats.

Cons

Free plan limits: 3 notebooks, 4 GB RAM, and 0.5 vCPU; AI credits cap.
Builder plan limits: Basic datasources only and capped notebooks.
Custom plan requires sales contact for pricing and on-premise options.

Pricing

Free
$0
FOREVER
  • 3 notebooks max
  • 4 GB RAM, 0.5 vCPU
  • Basic datasources
  • $0 AI credits (free)
Builder
$15
per month
  • 5 notebooks max
  • 8 GB RAM, 2 vCPU
  • Basic datasources only
  • $5 AI credits included, then pay-as-you-go
Pro
$30
per month
  • Unlimited notebooks
  • 16 GB RAM, 4 vCPU
  • All datasources
  • Scheduling, Terminal, Collaboration
Custom
Let's talk
CUSTOM
  • On-premise deployment
  • SSO and custom authentication
  • Custom images and machine profiles
  • Dedicated support and onboarding
  • Data project consulting

Reviews

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Frequently asked questions

What is Livedocs and how is it different from Jupyter?
Livedocs is a modern notebook platform for data analysis. Unlike Jupyter, our notebooks are reactive. Cells automatically re-run when dependencies change, like a spreadsheet. You also get built-in SQL, charts, real-time collaboration, and can publish notebooks as shareable apps without writing deployment code.
What databases and file formats are supported?
The pricing page lists supported data sources and file formats, including CSV, Parquet, Excel, JSON, and various databases as plan-supported.
Is my data used to train AI models?
Usage and data handling questions are listed under FAQ items on the pricing page, including data usage concerns.

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