What Project Jupyter does

Project Jupyter is a non-profit open-source software project founded in 2014 (spun off from the IPython Project) that develops free, open-standard tools for interactive and exploratory computing across more than 40 programming languages, including Python, R, Julia, and Scala. Its portfolio comprises JupyterLab (the next-generation web-based notebook interface), Jupyter Notebook (the classic document-centric interface), JupyterHub (multi-user deployment with Docker/Kubernetes support), Voilà (notebook-to-dashboard conversion), Binder (reproducible environment sharing), Jupyter Book (publication-quality documents), JupyterLite (browser-based WASM runtime), Jupyter Widgets (interactive UI components), and nbviewer (notebook rendering). The technical foundation rests on three open standards: a JSON-based Notebook Document Format, an Interactive Computing Protocol over ZMQ and WebSockets, and a kernel architecture that isolates language execution from the front-end interface.

The platform is used by major universities (UC Berkeley, NYU, Cal Poly, Michigan State, George Washington, Clemson, Bryn Mawr, University of Sheffield), research institutions (NASA, Janelia Research Campus, CodeNeuro), technology firms (Google, Microsoft, IBM, Oracle, Bloomberg, NetApp, SoundCloud, Anaconda), and media organizations (LA Times, O'Reilly Media). Project Jupyter does not sell software or charge licensing fees; instead, it is funded through donations and corporate sponsorships managed by LF Charities (a 501(c)(3) entity) and the Jupyter Foundation (a directed fund of the Linux Foundation 501(c)(6)).

The project's go-to-market is entirely community-led: software is distributed through PyPI, conda, Docker Hub, GitHub, and jupyter.org, while adoption is driven organically via JupyterCon conferences, Jupyter Community Workshops, a Discourse forum, a GitHub-hosted development process, and social channels on Mastodon, Bluesky, YouTube, and LinkedIn. Governance is consensus-based, overseen by an Executive Council, a Software Steering Council, a Jupyter Foundation, and a Distinguished Contributors program — a structure formalized in December 2022 when founder Fernando Pérez stepped down from his Benevolent Dictator for Life role.

Name

Project Jupyter

Legal name

Project Jupyter

Website

https://jupyter.org

Company type

Private

Founded year

2014

Operating status

Operating

Headcount range

11–50 employees

Short description

Project Jupyter is a non-profit open-source project providing free interactive computing tools — JupyterLab, JupyterHub, Voilà, Binder, and related subprojects — supporting over 40 programming languages for data scientists, researchers, educators, and enterprises worldwide.

Ownership category

akta.pro rank

Product category

Open Source Interactive Computing Software

NAICS

Software Publishers (5132)

SIC

Services-Prepackaged Software (7372)

akta.pro primary industry

Process & Case Management Low-Code Platforms (HDAEAKAE)

akta.pro secondary industry

Tools & Platforms Training (Jira, Azure DevOps, MS Project, Smartsheet, etc.) (EDABAHAH)

Keywords

• Interactive computing platform
• Open source notebooks
• Data science tools
• Scientific computing software
• Reproducible research notebooks

GTM type

B2B

Offering type

Software

Cost components

Personnel, Technology or R&D, Operations, Infrastructure, Others

Revenue model

1. Donations and Sponsorships: Project Jupyter is a non-profit open-source project that relies on donations and corporate sponsorships. Donations are managed by LF Charities (Linux Foundation). Corporate organizations can join the Jupyter Foundation under the Linux Foundation to support the project.

Pricing tiers

Go-to-market motion1 record

Distribution channels8 records

Marketing channels9 records

Core offering

Project Jupyter is a non-profit open-source software organization that develops and distributes free tools for interactive and exploratory computing. Its portfolio includes JupyterLab, Jupyter Notebook, JupyterHub, Voilà, Binder, Jupyter Book, JupyterLite, Jupyter Widgets, and nbviewer, all built on open standards including a JSON-based Notebook Document Format, the Interactive Computing Protocol, and language-specific kernels supporting over 40 programming languages.

Product overview

Project Jupyter is a non-profit open-source software organization that provides free tools for interactive computing across all programming languages. The core portfolio includes JupyterLab (the next-generation notebook interface), Jupyter Notebook (the classic interface), JupyterHub (multi-user server for organizations), Voilà (dashboard sharing), Binder (reproducible environments), Jupyter Book (publication), JupyterLite (browser-based), Jupyter Widgets (interactive UI components), and nbviewer (notebook rendering). These products share open standards including the JSON-based Notebook Document Format, the Interactive Computing Protocol over ZMQ and WebSockets, and language-specific kernels that execute interactive code. The ecosystem supports over 40 programming languages and integrates with Docker, Kubernetes, OAuth, PAM, GitHub, Dropbox, and Apache Spark.

Differentiator

Problem solved

Functional benefit

Brands

• JupyterLab: A next-generation web-based interactive development environment for notebooks, code, and data with a modular design that allows users to configure and arrange workflows in data science, scientific computing, computational journalism, and machine learning.
• Jupyter Notebook
• JupyterHub
• Voilà
• Binder
• Jupyter Book
• Jupyter Widgets

Products and services

• JupyterLab

Named customers26 records

Segments6 records

Ideal customer profiles4 records

Technology focussed Yes

API detail

Has API

Yes

API docs

API detail

Core technology

AI maturity

App detail

Integration8 records

AI capability3 records

Feature9 records

Partnerships

One partnership is on record.

• Linux Foundation / LF CharitiesmajorStrategic or Co-development PartnerHost organization for Project Jupyter. LF Charities hosts the project and manages donations. Jupyter Foundation is a directed fund of Linux Foundation 501(c)(6) providing resources and strategic counsel to Project Jupyter.

Scale indicators3 records

Recent moves9 records

Expansion highlights5 records

Direct peers

• Observable: Observable is a notebook-based platform for data visualization and exploratory data analysis. It competes for the same audience of data analysts and journalists who use Jupyter for interactive computing, with a stronger JavaScript orientation.
• Deepnote: Deepnote provides a collaborative, Jupyter-compatible cloud notebook platform. It directly targets Jupyter users with added real-time collaboration, team workspaces, and managed infrastructure, positioning itself as a modernized Jupyter alternative.
• Hex: Hex offers a collaborative data workspace built around Python and SQL notebooks compatible with Jupyter. It targets data science and analytics teams looking for a more interactive and shareable experience than traditional Jupyter deployments.
• Apache Zeppelin: Apache Zeppelin is an open-source web-based notebook platform supporting multiple languages and big data tools. It is the closest direct open-source alternative to Jupyter, particularly for Spark-based workflows and enterprise deployments.
• CoCalc: CoCalc is a collaborative online computation platform that uses Jupyter notebooks at its core, alongside other environments like SageMath. It is a listed user of Project Jupyter and competes for educational and research notebook users.

Broad incumbents

• Anaconda: Anaconda provides commercial Python and data science distribution built around the Jupyter ecosystem. It is both a major sponsor and a commercial beneficiary of Jupyter adoption, packaging and supporting Jupyter-based workflows for enterprise customers.
• Databricks: Databricks offers a managed data and AI platform whose notebooks interface is built on open standards compatible with Jupyter. It targets enterprise data science and ML teams that overlap with Jupyter's primary user base.
• Google Colab: Google Colab is a hosted Jupyter-compatible notebook service tightly integrated with Google Drive and AI/ML tooling. It serves as a major alternative runtime for Jupyter notebooks and competes for educational and research mindshare.
• Kaggle: Kaggle provides a hosted data science platform whose notebooks are built on Jupyter-compatible technology. It is a major destination for data science competition and educational users, often serving as an alternative to self-hosted Jupyter environments.
• VS Code (Microsoft): Microsoft's VS Code supports Jupyter notebooks natively as part of its broader IDE offering. It competes as an alternative interactive computing environment for developers and data scientists, and Microsoft is also a major Jupyter sponsor.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat6 records

Key risks6 records

Key highlights7 records

Customer concentration

• Xx.com/projectjupyter
• GitHubgithub.com/jupyter
• YouTubeyoutube.com/@projectjupyter
• Facebookfacebook.com/projectjupyter
• LinkedInlinkedin.com/company/project-jupyter

Revenue estimate

Valuation estimate

Number of profiles

Profiles17 records

Funding overview

Funding rounds

Investors

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Project Jupyter