Welcome to Datalayer
Welcome to the documentation for Datalayer, a platform for data practitioners leveraging Jupyter notebooks supercharged with rich editing, AI capabilities, and scalable GPU/CPU runtimes. You can access these features directly from your favorite local IDEs like JupyterLab, VS Code, and CLI. Prefer a client-free experience? No problem—explore the full power of Datalayer through our online Platform.
With Datalayer, you can work with Datalayer Documents (.dlex files) which offers a rich, Notion-inspired editing experience that lets you better structure and present your work by combining code, text, and visuals seamlessly.
AI assistance is built in to help you document, write and refine code as you work.
And when your workloads grow, you can scale them directly from your existing IDE in just a couple of clicks—no code changes required—thanks to seamless access to powerful cloud compute.
Go to the Login Page and create your account to get started with Datalayer. You will receive Free Credits to explore the platform and its features! 🚀
Whether you're an AI Engineer, Machine Learning Engineer, Data Scientist or Researcher, Datalayer enhances your productivity and performance. These capabilities can be accessed from the Platform, JupyterLab, VS Code and CLI interfaces.
Rich Editing Experience
EditionWork 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 data-driven documents.
AI-Powered Coding
AILet AI assist in writing, refining, and optimizing your code. Save time and enhance your workflows with intelligent suggestions.
Effortless Scaling with Remote Runtimes
RuntimesScale 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.