Jupyter AI
AI-powered extensions for Jupyter notebooks enabling natural language code generation and data analysis.
About Jupyter AI
Jupyter AI is a cutting-edge AI-powered extension for Jupyter notebooks, designed to revolutionize the way developers and data scientists interact with code and data. As of 2026, it seamlessly integrates generative AI capabilities directly into JupyterLab and Jupyter Notebook environments, empowering users to generate code and analyze data using natural language. This innovative tool transforms Jupyter notebooks into a dynamic generative AI playground, enhancing productivity through a conversational assistant and supporting a wide array of generative models. Jupyter AI is particularly valuable for those who work with complex data analysis and require a streamlined, efficient workflow. Its support for major generative model providers, such as OpenAI, Hugging Face, and NVIDIA, ensures that users have access to the latest AI advancements. The tool is ideal for developers, data scientists, and researchers who are looking to leverage AI to automate repetitive tasks, explore data insights more intuitively, and accelerate their development processes. By choosing Jupyter AI, users benefit from a robust, flexible, and user-friendly platform that stands out in the competitive landscape of AI-powered development tools.
Jupyter AI Key Features
Conversational Assistant
Jupyter AI includes a native chat UI in JupyterLab, allowing users to interact with generative AI models as a conversational assistant. This feature enhances productivity by enabling users to ask questions and receive code suggestions or data analysis insights directly within their notebooks.
%%ai Magic Command
The %%ai magic command transforms Jupyter notebooks into a generative AI playground, allowing users to execute AI-driven tasks seamlessly. This feature supports reproducibility and can be used across various platforms where the IPython kernel runs, such as JupyterLab, Google Colab, and VSCode.
Support for Multiple Generative Models
Jupyter AI supports a wide range of generative model providers, including AI21, Amazon, Anthropic, Cohere, Gemini, Hugging Face, MistralAI, OpenAI, and NVIDIA. This extensive support allows users to choose the best models for their specific needs, enhancing flexibility and performance.
Editable Chat Threads
Users can create multiple chat threads, each saved as a separate document on the Jupyter server with a .chat extension. This feature allows for organized and persistent conversations, making it easier to track and revisit discussions with the AI assistant.
Real-Time Collaboration
Jupyter AI enables real-time collaboration in both chat and notebook environments, provided that cloud deployments support it. This feature is particularly valuable for teams working on shared projects, as it facilitates seamless communication and joint problem-solving.
Chat Personas with Agentic Capabilities
Users can choose from various chat personas, each with unique agentic capabilities. The default persona, Jupyternaut, is designed to assist with coding and data analysis tasks, providing a personalized and context-aware interaction experience.
Integration with JupyterLab Versions
Each major version of Jupyter AI is compatible with a specific major version of JupyterLab, ensuring optimal performance and feature availability. Jupyter AI v3 supports JupyterLab 4.x, while earlier versions support JupyterLab 3.x.
Customizable Model Settings
Users can customize model settings, including selecting chat models, specifying model parameters, and adding API keys for models that require them. This flexibility allows users to tailor the AI's behavior to their specific requirements.
Comprehensive Documentation and Support
Jupyter AI provides extensive documentation and support resources, including quickstart guides, installation instructions, and detailed feature explanations. This ensures that users can effectively leverage the tool's capabilities and troubleshoot any issues they encounter.
Jupyter AI Pricing Plans (2026)
Free
- Basic natural language code generation
- Access to a limited range of generative models
- Integration with JupyterLab and Jupyter Notebook
- Basic support and documentation
- Community access
- Limited model support
- Basic features only
- No advanced customization options
Jupyter AI Pros
- + Enhances productivity by allowing natural language code generation.
- + Supports a wide range of generative models, providing flexibility.
- + Seamlessly integrates with JupyterLab and Jupyter Notebook.
- + Offers a conversational assistant for intuitive interaction.
- + Customizable with support for custom model providers.
- + Real-time streaming output for dynamic data analysis.
Jupyter AI Cons
- − May require a learning curve for users unfamiliar with AI tools.
- − Limited to environments where the IPython kernel runs.
- − Dependent on the availability and performance of external AI models.
- − Potential integration challenges with non-supported platforms.
- − Customization options may be complex for beginners.
Jupyter AI Use Cases
Automated Code Generation
Data scientists use Jupyter AI to automatically generate code snippets based on natural language prompts, significantly speeding up the coding process and reducing manual errors.
Data Analysis and Visualization
Analysts leverage Jupyter AI to perform complex data analysis and generate visualizations by simply describing their requirements in natural language, making data insights more accessible.
Collaborative Research Projects
Research teams use Jupyter AI's real-time collaboration features to work together on projects, sharing insights and code in a seamless, interactive environment.
Educational Tool for Learning AI
Educators integrate Jupyter AI into their curriculum to teach students about generative AI models and data science, providing hands-on experience with cutting-edge technology.
Prototyping AI Models
Developers use Jupyter AI to quickly prototype and test AI models, utilizing the tool's support for multiple generative models to find the best fit for their applications.
Natural Language Querying
Business analysts employ Jupyter AI to query databases and generate reports using natural language, streamlining the process of extracting actionable insights from data.
What Makes Jupyter AI Unique
Seamless Integration with Jupyter
Jupyter AI's seamless integration with JupyterLab and Jupyter Notebook environments provides a familiar and powerful platform for users, setting it apart from standalone AI tools.
Extensive Model Support
With support for a wide range of generative models from leading providers, Jupyter AI offers unparalleled flexibility and choice, catering to diverse user needs.
Real-Time Collaboration
Jupyter AI's real-time collaboration capabilities enable teams to work together more effectively, a feature not commonly found in other AI tools.
Customizable Chat Personas
The ability to choose from various chat personas with agentic capabilities provides a personalized interaction experience, enhancing user engagement and satisfaction.
Reproducible AI Workflows
The %%ai magic command allows for reproducible AI workflows, ensuring that users can easily replicate and share their work, a key advantage over less structured AI solutions.
Who's Using Jupyter AI
Enterprise Teams
Enterprise teams use Jupyter AI to enhance productivity and collaboration, leveraging its real-time features and model support for large-scale data projects.
Freelancers
Freelancers benefit from Jupyter AI's ease of use and flexibility, using it to quickly generate code and analyze data for diverse client projects.
Educational Institutions
Educational institutions integrate Jupyter AI into their teaching resources, providing students with practical experience in AI and data science.
Research Organizations
Research organizations utilize Jupyter AI to facilitate collaborative research efforts, enabling teams to work together on complex data-driven projects.
Data Analysts
Data analysts use Jupyter AI to streamline their workflow, using natural language to perform data analysis and generate insights more efficiently.
How We Rate Jupyter AI
Jupyter AI vs Competitors
Jupyter AI vs CodeGeeX
CodeGeeX offers a similar AI-powered code generation experience but lacks the seamless integration with JupyterLab and Jupyter Notebook that Jupyter AI provides. While CodeGeeX may excel in standalone environments, Jupyter AI's integration capabilities make it more suitable for users already within the Jupyter ecosystem.
- + Seamless integration with Jupyter platforms
- + Wide support for generative models
- + Conversational interface for intuitive use
- − CodeGeeX may offer more advanced standalone features
- − Potentially better support for non-Jupyter environments
Jupyter AI Frequently Asked Questions (2026)
What is Jupyter AI?
Jupyter AI is an AI-powered extension for Jupyter notebooks that enables natural language code generation and data analysis, transforming Jupyter into a generative AI playground.
How much does Jupyter AI cost in 2026?
As of 2026, Jupyter AI offers various pricing tiers, including a free tier for basic use, with advanced features available in paid plans. Specific pricing details are not provided on the website.
Is Jupyter AI free?
Jupyter AI offers a free tier that allows users to access basic features, making it accessible for hobbyists and small-scale projects.
Is Jupyter AI worth it in 2026?
In 2026, Jupyter AI is considered a valuable tool for those looking to enhance productivity and streamline workflows with AI capabilities, especially within the Jupyter ecosystem.
Best Jupyter AI alternatives in 2026?
Alternatives to Jupyter AI in 2026 include CodeGeeX, Google Antigravity, ZZZ Code AI, LMQL, and GoCodeo, each offering unique features and capabilities.
Jupyter AI vs competitors in 2026?
Compared to competitors, Jupyter AI stands out for its seamless integration with JupyterLab and Jupyter Notebook, wide model support, and unique conversational interface.
How to get started with Jupyter AI?
To get started with Jupyter AI, users can install the extension within JupyterLab or Jupyter Notebook and begin using natural language commands to generate code and analyze data.
What platforms does Jupyter AI support?
Jupyter AI supports platforms where the IPython kernel runs, including JupyterLab, Jupyter Notebook, Google Colab, and VSCode.
Is Jupyter AI safe and secure?
Jupyter AI maintains data privacy, but users should be aware of the security practices of third-party model providers integrated into the tool.
Who should use Jupyter AI?
Jupyter AI is ideal for data scientists, developers, educators, researchers, and organizations looking to leverage AI for enhanced productivity and data analysis.
What's new in Jupyter AI 2026?
In 2026, Jupyter AI continues to enhance its features, including improved support for the latest generative models and more intuitive user interfaces.
How does Jupyter AI compare to alternatives?
Jupyter AI offers unique integration with Jupyter platforms and a conversational interface, making it a strong contender against alternatives like CodeGeeX and Google Antigravity.
Jupyter AI Search Interest
Search interest over past 12 months (Google Trends) • Updated 2/2/2026
Jupyter AI on Hacker News
Jupyter AI Company
Jupyter AI Quick Info
- Pricing
- Open Source
- Upvotes
- 482
- Added
- January 3, 2026
Jupyter AI Is Best For
- Data scientists looking to automate analysis tasks
- Developers seeking to streamline code generation
- Educators aiming to enhance teaching methods with AI
- Researchers requiring advanced data exploration tools
- Organizations needing custom AI model integration
Jupyter AI Integrations
Jupyter AI Alternatives
View all →Related to Jupyter AI
News & Press
From Physics to the Future: Brian Granger on Project Jupyter in the Age of AI - The New Stack
Jupyter AI v3: Could It Generate an ‘Ecosystem of AI Personas?’ - The New Stack
Domino Data Lab Unveils New Generative AI Capabilities in Latest Platform Release - HPCwire
Deepnote, a ‘Successor to Jupyter Notebook,’ Goes Open Source - The New Stack
Compare Tools
See how Jupyter AI compares to other tools
Start ComparisonOwn Jupyter AI?
Claim this tool to post updates, share deals, and get a verified badge.
Claim This Tool