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Datalayer

Revolutionize your Jupyter Experience

AI-Powered Coding, Rich Editing & Effortless Scaling with GPU

Code, write, scale effortlessly

Built for data scientists who want to move faster, without the friction.

AI-Powered Coding

Let AI Agent assist in writing, refining, and optimizing your code. Save time and enhance your workflows with intelligent suggestions.

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Rich Editing Experience

Work in a innovative Notion-like editor that enhances your notebook's readability. Effortlessly blend code, notes, and visual elements to create polished, easy-to-share documents.

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Effortless Scaling

Scale your notebooks to cloud GPUs or CPUs instantly with Remote Runtimes. Run complex computations in the cloud from your local IDE without changing your code or moving data—just connect and go.

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Supported by

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OVHcloudNVIDIA Inception ProgramAnacondaMicrosoft AzureJupyterOpenTeams

A secured place

Datalayer is ISO/IEC 27001 and SOC2 type II certified, ensuring that you work with a provider that follows riguorous security practices to protect your data. We are also ISO/IEC 42001 certified reflecting our commitment to responsibly manage AI-related risks and their potential impact.

Testimonials

Don't take our word for it!

DataCamp has used the Datalayer services to better understand the Jupyter ecosystem and how it could be tightly integrated in our upcoming DataCamp Workspace service. We have built on top of the Datalayer opensource components approach to add code execution to our existing React.js components. We have been thrilled with the innovation Datalayer is showing and recommend using their solutions and professional services for your data projects.
Dieter De MesmaekerCo-Founder of DataCamp
I tried most of the feature. I like the simplicity of a single snippet as the unit of work
Steven SilvesterJupyter Executive Council Member
Datalayer bridges the gap between React.js and Jupyter. They create software that helps data product developers and data scientists to deliver faster, and we at CoCalc have been collaborating with them to develop similar technology for education. It's definitely worth considering partnering with Datalayer if you are developing a Jupyter data science project.
William SteinFounder of SageMath and CoCalc
I'm thrilled about Jupyter UI and the amazing features it offers
Brandon EscamillaIENAI SPACE

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Discover the exceptional ease and efficiency of Datalayer. Don't miss out on the opportunity to revolutionize your data analysis workflow.