Deepnote AI

Collaborate on data science projects with AI-powered notebooks and real-time teamwork.

By shreyansh saagar | Ninja How we review tools Updated December 24, 2024

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Pricing

$0/month

Description

Deepnote AI is an AI-powered collaborative notebook platform designed for teams working on data analysis, machine learning, and other data-driven projects. It enables real-time collaboration, allowing users to write, execute, and share code simultaneously. This feature makes teamwork more efficient and faster. Deepnote integrates seamlessly with SQL databases, Google Sheets, and cloud storage, offering a unified workspace. Teams can perform data analysis, build visualizations, and generate reports in one place. With AI-powered code completion and version control, Deepnote speeds up development, boosts productivity, and improves collaboration.

Pricing Plans:

Free Plan costs $0/month. It allows up to 3 editors and 5 projects. Users can access AI-powered code completion and unlimited basic machines with 5 GB RAM and 2 vCPU. The plan also offers a 7-day revision history. It’s perfect for individuals or small teams who need basic data analysis and collaboration features.
Team Plan costs $39 per editor per month when billed yearly. It offers unlimited viewers and notebooks. Users get premium integrations and unlimited Plus machines with 16 GB RAM and 4 vCPU. This plan also includes $112 in compute credits and a 30-day revision history. It suits teams working on larger projects or complex data analysis, providing the flexibility and resources they need.
Enterprise Plan offers custom pricing. It includes all features from the Team Plan but adds volume machine discounts, Single Sign-On (SSO), directory sync, and audit logs. The plan also provides unlimited revision history and a dedicated success manager. It is designed for large organizations handling sensitive data and requiring compliance, such as HIPAA BAA.

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Key Features

Real-Time Collaboration: Work with teammates on the same notebook simultaneously with live updates.
AI-Powered Code Completion: Accelerate coding tasks with intelligent suggestions and auto-completion.
Integration with Data Sources: Connect seamlessly to SQL databases, Google Sheets, and other data platforms.
Customizable Cloud Environment: Scale up your projects with cloud-based configurations tailored to your needs.
Version Control: Keep track of changes and access a detailed revision history.
Compute Power Management: Flexible machine configurations (RAM, vCPU) for optimal project performance.

Strengths & Weaknesses

Strengths

Enhanced Collaboration: Ideal for teams working on data projects with real-time collaboration capabilities.
Versatile Integrations: Supports popular data platforms and tools, creating a unified workspace.
Scalable Resources: Cloud-based machine configurations allow users to tailor computing power to their needs.
Versioning & History: Track changes easily with comprehensive revision histories.

! Weaknesses

Limited Free Tier: Advanced features like premium integrations and extended revision histories are restricted to paid plans.
Dependency on Cloud Resources: Requires internet access for most features, limiting offline functionality.