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Deepnote

Freemium

AI-powered data notebooks

Data AnalyticsFreemium
Inputs: text, code, fileOutputs: text, code, image, file, url
Starting Price
$20/mo
Type
Saas
Founded
2018
Company
Deepnote
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About Deepnote

Deepnote is a collaborative analytics and data science notebook platform that integrates AI-powered features to help teams explore data, automate insights, and build data agents. It provides a cloud-based environment where users can write and execute code (SQL, Python), generate dashboards and data apps, and share results with stakeholders. The platform emphasizes real-time collaboration, allowing multiple users to work on the same notebook simultaneously, and supports publishing notebooks as interactive reports or live applications.

Deepnote includes AI capabilities such as an AI assistant that can answer questions about data, generate insights, and explain drivers of trends. Users can build autonomous data agents that perform tasks like fraud detection, including querying data, training models, deploying endpoints, and visualizing results. The platform also offers integration with local development environments like VS Code, enabling users to start work locally and continue in the cloud, and supports launching data agents from external tools like Claude Code.

Deepnote is now open-source, as indicated on its website, and offers a freemium pricing model. It is designed for data scientists, analysts, and engineering teams who need a flexible, collaborative workspace for data exploration, analysis, and automation. The platform appears to support a range of data workflows, from ad-hoc analysis to production-grade data pipelines and agent-based automation.

Key Features

Collaborative data notebooks with real-time multi-user editing
AI-powered assistant for answering data questions and generating insights
Ability to build and deploy autonomous data agents (e.g., fraud detection)
Support for SQL and Python code execution within notebooks
Dashboard and data app generation from notebook outputs
Integration with local IDEs like VS Code for hybrid cloud/local workflows
Publishing and sharing notebooks as interactive reports or live apps
Open-source availability

Pros & Cons

Pros
  • Combines notebook flexibility with AI-powered automation and agent capabilities
  • Supports real-time collaboration, making it suitable for team-based analytics
  • Integration with local development environments (VS Code) for flexible workflows
  • Open-source model may reduce vendor lock-in and allow customization
  • Freemium pricing model provides free starter access; exact limits should be verified
  • Can publish notebooks as dashboards or live apps, bridging analysis and production
Cons
  • Free tier likely has usage limits on compute, storage, or team size; details should be verified
  • AI features may require internet access and could have latency or accuracy limitations
  • As a cloud-based platform, it requires a stable internet connection for full functionality
  • Learning curve for users unfamiliar with notebook environments or AI agent concepts
  • Open-source version may have different features or support compared to the hosted service

Best For

Collaborative data exploration and analysis for teamsBuilding automated data pipelines and monitoring dashboardsDeveloping and deploying machine learning models with agent-based workflowsCreating interactive reports and data apps for stakeholdersFraud detection and real-time data scoring with autonomous agentsAd-hoc data querying and visualization for business intelligence

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FAQ

Is Deepnote free to use?
Deepnote offers a freemium pricing model, which appears to include a free tier with limited features. Exact limits on compute, storage, or team size should be verified on the pricing page.
Can I use Deepnote locally or offline?
Deepnote is primarily a cloud-based platform, but it offers integration with VS Code for local development. Full offline use may not be supported; the platform requires internet access for most features.
What programming languages does Deepnote support?
Based on available information, Deepnote supports SQL and Python for data querying and analysis within notebooks.
Can I share my notebooks with others?
Yes, Deepnote appears to support publishing and sharing notebooks as interactive reports or live apps, and allows real-time collaboration with team members.
Is Deepnote open-source?
The website states that Deepnote is now open-source. Users should check the official repository for licensing details and community support.
Does Deepnote support building AI agents?
Yes, Deepnote includes features for building autonomous data agents that can perform tasks like querying data, training models, and deploying endpoints, as shown in the website content.