Project Jupyter is an open source software and standards project that develops popular tools such as Jupyter Notebook, JupyterLab, and JupyterHub for interactive and collaborative computing across dozens of programming languages. Jupyter has become a cornerstone of modern data science, scientific computing, and technical education by providing a web-based interactive development environment for data cleaning, analysis, visualization, and reproducible computational narratives.
Quansight and Quansight Labs, the public-benefit division of Quansight, and home to several Jupyter contributors, are driven by a passion for open source technologies, including a deep focus on the Jupyter ecosystem. Both teams include Jupyter maintainers, distinguished contributors, and members of the software steering council.
- Secure installation, setup, and integration of JupyterHub with your existing infrastructure
- Leverage Quansight-created, open source platform Nebari, a customized JupyterHub distribution designed for quick deployment and support for the complete data science workflows
- Build custom JupyterLab extensions
- Offer expertise for navigating the evolving JupyterLab extension system
- Integrate Jupyter notebooks or components into applications and platforms
- Customize Jupyter for specific uses within larger systems
- Ensure third-party tools, libraries, and frameworks work well in JupyterLab
- Resolve compatibility issues for smooth integration
Nebari is a customizable open source, enterprise data science platform. Its DevOps for non-DevOps approach allows users to deploy a computing platform quickly on any cloud or on-prem infrastructure in under 30 minutes. Nebari provides role-based access control, dashboard sharing, scalability, and other helpful collaboration and data science features, as well as the flexibility to integrate tools for your specific needs. It easily integrates with conda-store, another Quansight-created open source project, to offer out-of-the-box environment management. Learn more about Quansight’s Nebari Services
We recently developed three new extensions for the Jupyter Ecosystem:
Install them on your platform, or work with us to create new extensions for your specific needs.
The JupyterLite project for running Jupyter in browsers is a major focus area for Quansight Labs.
Our team members are leading the effort to add interactivity and executable code blocks to documentation websites across the Scientific Python ecosystem using JupyterLite. This involves contributing to JupyterLite and developing extensions.
We can help you add executable components to your websites and applications.
Despite numbering over one billion individuals worldwide, people with disabilities are frequently overlooked when designing and developing technology solutions. Many open source tools have been developed without properly considering essential accessibility features from the start, unintentionally excluding users with disabilities.
Several Quansight Labs members lead and contribute to the Jupyter Accessibility project. For about five years, team members have focused on making Jupyter tools more accessible and raising awareness about accessibility.
For some highlights, check out the Quansight Labs 2023 Annual Report.
