Brought to you by NumFOCUS Foundation and O’Reilly Media Inc.
The official Jupyter Conference
August 22-23, 2017: Training
August 23-25, 2017: Tutorials & Conference
New York, NY

Jupyter frontends: From the classic Jupyter Notebook to JupyterLab, nteract, and beyond

Kyle Kelley (Netflix), Brian Granger (Cal Poly San Luis Obispo)
11:05am–11:45am Thursday, August 24, 2017
Location: Beekman/Sutton North
Average rating: *****
(5.00, 2 ratings)

What you'll learn

  • Understand the range of Jupyter frontends


The Jupyter architecture (message specification, kernels, notebook documents) allows for multiple end-user applications or Jupyter frontends. The traditional application for Jupyter is the classic Jupyter Notebook, which began as the IPython Notebook in 2011. Since then, the Jupyter Notebook frontend has become a critical tool for millions of users doing interactive computing in scientific research, education, and commercial data science, machine learning, and AI. In recent years, a number of more modern end-user applications built on top of the Jupyter architecture have emerged, including Rodeo, CoCalc, Stencila, nteract, and JupyterLab. Project Jupyter is embracing the flowering of end-user applications and taking steps to document and formalize the abstractions across all Jupyter frontends.

Kyle Kelley and Brian Granger offer a broad look at Jupyter frontends, describing their common aspects and explaining how their differences help Jupyter reach a broader set of users. They also share ongoing challenges in building these frontends (real-time collaboration, security, rich output, different Markdown formats, etc.) as well as their ongoing work to address these questions.

Photo of Kyle Kelley

Kyle Kelley


Kyle Kelley is a senior software engineer at Netflix, a maintainer on, and a core developer of the IPython/Jupyter project. He wants to help build great environments for collaborative analysis, development, and production workloads for everyone, from small teams to massive scale.

Photo of Brian Granger

Brian Granger

Cal Poly San Luis Obispo

Brian Granger is an associate professor of physics and data science at Cal Poly State University in San Luis Obispo. Brian is a leader of the IPython project, cofounder of Project Jupyter, and an active contributor to a number of other open source projects focused on data science in Python. Recently, he cocreated the Altair package for statistical visualization in Python. He is an advisory board member of NumFOCUS and a faculty fellow of the Cal Poly Center for Innovation and Entrepreneurship.