Jupyter
NewFree software, open standards, and web services for interactive computing across all programming languages
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
- Jupyter ranks #20 of 61 in MLOps Platforms with an AI visibility score of 4.6 (SlateIndex, Nov 2, 2026).
- Jupyter is most visible on Google AI Mode (7.4) and least on Perplexity (3.1).
- AI engines name Jupyter in 3 of the 30 MLOps Platforms buyer prompts SlateIndex tracks.
- databricks.com is the source AI engines cite most in answers about Jupyter, with 3 citations.
About
Company details for Jupyter
Project Jupyter is a non-profit open-source project that develops the Jupyter Notebook, JupyterLab, JupyterHub and related tools for interactive computing across programming languages. Its software is released under the modified BSD license and developed openly on GitHub. The Notebook combines live code, equations, narrative text and visualizations in one document, and its notebook format and kernel protocol are open standards. The project does not provide Jupyter as a service, so organizations run it on their own or a service provider's infrastructure. It ranks #20 of 61 in MLOps Platforms on SlateIndex and has a visibility score of 4.6 in the latest weekly run.
Founded in 2014 and headquartered in Berkeley, United States, the company employs 11–50 people. Its differentiator: free, BSD-licensed open-source software with open document and kernel protocols that supports over 40 programming languages.
- Website
- jupyter.org
- Categories
- MLOps Platforms
- Company size
- 11–50 employees
- Headquarters
- Berkeley, United States
- Founded
- 2014
- Company type
- Nonprofit open-source project
- Funding
- Foundation pledges (Sloan, Moore, Helmsley Charitable Trust)
- Deployment
- Self-hosted on centralized on-premises or off-site infrastructure, scalable with Docker and Kubernetes; the project does not provide Jupyter as a service.
- Platforms
- Web browser
- Languages
- 40 supported
- Support
- Community Discourse forum, Jupyter Security GitHub repository, Third-party Jupyter support companies
Read from tracxn.com, linkedin.com, capterra.com, jupyter.org, en.wikipedia.org, crd.lbl.gov · refreshed Nov 2, 2026.
AI visibility
Latest weekly run · Nov 2 · next run Nov 9
Visibility score trend
Weekly runs over the last 60 days, with up to 7 competitors. Click a name to hide or show its line.
Changes appear after the second weekly run in MLOps Platforms. MLflow leads the category at 50.9%.
Media
Website and product screenshots for Jupyter
AI mentions & citations
Recent answers that name Jupyter
What is an MLOps platform and when does a company need one?
What is the difference between an MLOps platform and a data science platform?
Core Capabilities: Interactive notebook environments (Jupyter, RStudio), collaborative code repositories, hyperparameter tuning, experiment tracking, and data visualization tools.
What should an MLOps platform integrate with?
ML frameworks and environments: Python, scikit-learn, PyTorch, TensorFlow, XGBoost, Jupyter, and notebook environments.
What is the difference between an MLOps platform and a data science platform?
What should an MLOps platform integrate with?
Products & features
What Jupyter sells
Jupyter Notebook
Original web application for creating and sharing computational documents with a simple, document-centric interface.
JupyterLab
Web-based interactive development environment for notebooks, code and data, with a modular design that supports extensions.
JupyterHub
Multi-user server that spawns and manages many single-user notebook servers for companies, classrooms and research labs.
Voilà
Turns notebooks into secure, stand-alone web applications that can be customized and shared.
Jupyter AI
Extension released in August 2023 that adds AI capabilities to Jupyter.
Strengths engines cite
- Interactive notebook environments
- Support for data visualization and experiment tracking
- Included in common ML frameworks and environments
Target market & buyers
Data science, scientific computing and research teams, plus companies and classrooms that deploy multi-user notebooks.
| Industry | Primary use case |
|---|---|
| Data science and machine learning | Interactive development environment for notebooks, code and data. |
| Scientific computing | Sharing live code, equations, visualizations and narrative text in one document. |
| Computational journalism | Building computational documents with interactive dashboards and rich output. |
Funding & recent developments
Funding
| Round | Year | Amount |
|---|---|---|
| Foundation pledges (Sloan, Moore, Helmsley Charitable Trust) | 2015 | $6M |
| Latest known round | Total raised |
|---|---|
| Foundation pledges (Sloan, Moore, Helmsley Charitable Trust) | — |
Recent developments
- Oct 2026SecurityJupyter Security Council updates posted
The project posted Jupyter Security Council updates.
- Sep 2026ProductJupyterHub 6.0 released
JupyterHub 6.0 was released.
- Aug 2026ProductResults of 2026 user experience and product enhancement survey published
The project published results from its 2026 user experience and product enhancement survey.
- Jul 2026FundingJupyter Foundation opens 2026 call for community funding proposals
Grant call with a September 9, 2026 deadline; no amount stated.
- Feb 2026CompanyJupyterLite officially joins Project Jupyter
JupyterLite became an official part of Project Jupyter.
Competitive landscape
How Jupyter compares with its top three alternatives
Jupyter most often appears alongside MLflow, Databricks, Google Vertex AI in AI answers.
| Brand | Visibility | Share of voice | vs last week | Starting price |
|---|---|---|---|---|
| Jupyter | 4.6% | 0.7% | New | Pricing not available |
| MLflow | 50.9% | 9.7% | New | Pricing not available |
| Databricks | 46.2% | 7.6% | New | Pricing not available |
| Google Vertex AI | 33.1% | 7.2% | New | Pricing not available |
| Kubeflow | 20.1% | 5.8% | New | Pricing not available |
Cite as: SlateIndex, “Jupyter AI visibility profile”, https://slateindex.ai/brand/jupyter, data of Nov 2, 2026. Licence: CC BY 4.0.