Deepnote

Deepnote is an open data workspace for collaborative analytics and data science using Python, SQL, and interactive dashboards.

Deepnote functions as a collaborative environment for teams to explore data and build analytical applications. Users work in notebooks with Python and SQL, creating data visualizations and dashboards that can be shared via links. The platform connects to over 100 data sources including warehouses, databases, and lakehouses. It supports features like job scheduling, interactive data apps, and agent-based automation. The system offers security controls such as role-based access, SSO, and audit logs for organizational use.

Deepnote at a glance

Best for: Finance, Researcher, Software engineer
Runs on: Web, API
Pricing: Free plan; Team plan at pricing model based on usage credits and machine tiers; Enterprise plan with custom contract.
Released: September 2025
Category: AI research tool
Website: deepnote.com

Key features

Collaborative notebooks with Python and SQL
Interactive data applications and dashboards
Scheduling for notebooks and data pipelines
Integration with over 100 data sources
AI-assisted code completion and generation
Role-based access control and SSO
Docker environment management

Use it for

Building data apps and dashboards
Training and evaluating machine learning models
Running scheduled ETL pipelines
Performing exploratory data analysis
Creating knowledge base reports

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Basic Memory — Stores data in local Markdown files that remain accessible and readable by any AI.
Notely AI — It syncs notes and tasks directly to Google Calendar and connected apps.
Deepscient — Provides an auditable evidence chain and reproducible experiments.
notebooklm-py — Automates research, content generation, and structured data export from notebooks.
DeepSearcher — Performs evaluation and reasoning based on private enterprise data using various models.
ktx — It gives data agents a shared context workspace of approved metrics and git-based files.

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