Jupyter
MLOps & Infrastructure
Overview
Jupyter is an open-source interactive computing environment that provides notebooks for data science, scientific computing, and machine learning. It supports multiple programming languages including Python, R, and Julia, and enables interactive data exploration, visualization, and code execution. Jupyter is the standard environment for data science workflows, with JupyterHub for enterprise deployment.
- Pricing model
- Free
- Deployment
- Self-hosted / on-premises, SaaS (vendor-hosted)
- Regions served
- Global
- Categories
- Free, MLOps & Infrastructure, Software & technology, Workflow orchestration, Self-hosted / on-premises, Predictive / classical ML, Functional application, SaaS (vendor-hosted)
- Last updated
- 2 October 2026
- Published
- 2 October 2026
Use cases
Deployment options
Data sources & provenance
Where this information came from, how it was checked and when it was last looked at. “Last updated” records a change to the record — it does not mean the record was verified.
- Data quality
- Data quality: Editorially Reviewed
- Primary source
- jupyter.org
- Sources cited
- 2
- Last reviewed
- 28 September 2026
- Last updated
- 2 October 2026
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