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Project Jupyter

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uuid000b6ke

Namestring
Project Jupyter
Legal namestring
Project Jupyter
Websiteurl
jupyter.org
Company typeenum
Private
Founded yearint
2014
Descriptiontext

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.

Short descriptiontext

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.

Operating statusenum
Operating
Ownership categoryenum
Headcount rangeband
11–50
akta.pro rankint
Markets served

Serves global market

Keyword5 values
interactive computing platform, open source notebooks, data science tools, scientific computing software, reproducible research notebooks
Industry2 codes
1Process & Case Management Low-Code Platforms
CodeHDAEAKAEPrimaryYes
2Tools & Platforms Training (Jira, Azure DevOps, MS Project, Smartsheet, etc.)
CodeEDABAHAHPrimaryNo
NAICS code1 code
  • Software Publishers5132
SIC code1 code
  • Services-Prepackaged Software7372
Product category
Open Source Interactive Computing Software
GTM motion1 record

Each record includes

Type, Description, Source

Revenue model1 record
1Donations and Sponsorships
TypeOthers
Description

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.

jupyter.org
Marketing channels9 records

Each record includes

Title, Type, Stage, Description, Source

Distribution channels8 records

Each record includes

Title, Type, Scope, Target buyer, Description, Source

Cost components5 values
Personnel, Technology or R&D, Operations, Infrastructure, Others
Pricing details1 tier
1Free open source software
ModelFreemiumBilling cadenceOthers
Notes

All Project Jupyter software is free to use under the modified BSD license. No pricing tiers exist as the software is entirely free and open source.

jupyter.org
GTM typeB2B
B2B
Offering typeSoftware
Software
Brand1 of 7 records shown
1JupyterLab
Description

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.org
+6 more records
Core offering1 text field

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.

Differentiator
Functional benefit
Problem solved
Product overview1 text field

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.

Product and service1 record
1JupyterLab
Scale indicator3 records

Each record includes

Type, Value, Description, Source

Partnership1 partner
Strategic tierMajorTypeStrategic or Co-development Partner
Description

Host 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.

Recent move9 records

Each record includes

Date, Type, Title, Description, Source

Expansion highlight5 records

Each record includes

Type, Description

Peers10 records
TypeDirect peer
Description

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.

TypeDirect peer
Description

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.

3Hex
TypeDirect peer
Description

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.

TypeBroad incumbent
Description

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.

TypeDirect peer
Description

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.

TypeBroad incumbent
Description

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.

TypeDirect peer
Description

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.

TypeBroad incumbent
Description

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.

TypeBroad incumbent
Description

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.

TypeBroad incumbent
Description

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

Each record includes

Headline, Details, Source

Weaknesses5 records

Each record includes

Headline, Details, Source

Competitive moat6 records

Each record includes

Type, Details

Key risks6 records

Each record includes

Headline, Details, Source

Key highlights7 records

Each record includes

Headline, Details, Source

Customer concentration

Classification, Details

Named customers26 records

Each record includes

Name, Industry, Type, Use case, Source, UUID

Segment6 records

Each record includes

Title, Type, Primary, Description, Pain point addressed, Use case, Source

Ideal customer profile4 records

Each record includes

Profile, Firmographic size, Sales motion, Sales cycle length, Buying structure, Purchase trigger, Buyer persona, Geography, Industry vertical, Primary use case, Description, Pain points, Evidence proof points, Target buyer

Technology focused
Yes
API detail
Has APIbool
Yes

Docs URL, Description

Integration8 records

Each record includes

Title, Type, Description, Source

AI capability3 records

Each record includes

Type, Description, Source

AI maturity
App detail

Has app

Feature9 records

Each record includes

Title, Differentiator, Description, Source

Core technology
Revenue estimate
Valuation estimate
Number of profiles
Profiles17 records

Each record includes

Name, Designation, Designation category, Overview, Profile commentary, Source

No data
No data
Funding overview

Funding stage, Last funding date, Total funding USD

Funding rounds

Each record includes

Round, Amount USD, Date, Pre money valuation, Total investors, Investors, News

Investors

Each record includes

Name, Type, Date of entry, Rounds participated, Website

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

M&A

Each record includes

Name, Acquisition type, Announced date, Completed date, Status, Website, News

Investment

Each record includes

Name, Round, Announced date, Lead investor, Website, News

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

Project Jupyter

Open Source Interactive Computing Softwarejupyter.org

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.

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.

Project Jupyter firmographics

Firmographics
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

Project Jupyter industry classification

Industry
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

Project Jupyter business model

Business model
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

ModelBillingPrice
FreemiumOthersFree open source software

Go-to-market motion1 record

Distribution channels8 records

Marketing channels9 records

Project Jupyter product offering

Product offering

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

Companies that use Project Jupyter

Customer profile

Named customers26 records

Segments6 records

Ideal customer profiles4 records

Project Jupyter technology and API

Technology

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

Project Jupyter partnerships and signals

Strategic signal

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

Project Jupyter competitors and assessment

Company assessment

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

Project Jupyter social profiles

Digital presence

Project Jupyter financial estimates

Financial estimate

Revenue estimate

Valuation estimate

Project Jupyter leadership team

Management profile

Number of profiles

Profiles17 records

Project Jupyter funding detail

Funding detail

Funding overview

Funding rounds

Investors

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

Project Jupyter M&A and investment

M&A and investment

M&A

Investments

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

Frequently asked questions about Project Jupyter

What does Project Jupyter do?

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.

Is Project Jupyter a public or private company?

Project Jupyter is a private company. It is classified as nonprofit foundation owned and is currently operating.

When was Project Jupyter founded?

Project Jupyter was founded in 2014. It employs 11 to 50 people.

How does Project Jupyter make money?

One revenue line is on record: donations and Sponsorships.

Who are Project Jupyter's main competitors?

Direct peers on record are Observable, Deepnote, Hex, Apache Zeppelin and CoCalc. Broad incumbents are Anaconda, Databricks, Google Colab, Kaggle and VS Code (Microsoft).

Does Project Jupyter have an API?

Yes. JupyterHub exposes a REST API for programmatic server and user management. JupyterHub and Jupyter Server provide REST APIs for automating hub operations, user administration, and kernel management. The Jupyter protocol uses JSON over ZMQ and WebSockets for kernel communication (Interactive Computing Protocol). Jupyter Telemetry is an opt-in library for collecting usage telemetry. Developer documentation is at jupyter-server.readthedocs.io.

What industry is Project Jupyter in?

Project Jupyter's product category is Open Source Interactive Computing Software. Its primary akta.pro industry code is HDAEAKAE, Process & Case Management Low-Code Platforms, with a secondary code of EDABAHAH, Tools & Platforms Training (Jira, Azure DevOps, MS Project, Smartsheet, etc.). Its NAICS code is 5132 and its SIC code is 7372.

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Live signals
KDnuggetsThe 7 Most Useful Jupyter Notebook Extensions for Data ScientistsThe article outlines seven Jupyter Notebook extensions designed to enhance data science workflows, including Nbextensions for code assistance and resource monitoring. It details tools such as Jupyter Widgets for interactive visualizations, Voilà for creating standalone web apps, and RISE for generating slide presentations. The piece serves as a guide for users to improve productivity and presentation capabilities within the Jupyter environment.The New StackJupyter Deploy: The New Middle Ground Between Laptops and EnterpriseJupyter Deploy, an open-source CLI tool developed by AWS's AI Open Source team, was launched at JupyterCon 2025 to help data scientists, researchers, and educators deploy Jupyter notebooks to the cloud without requiring dedicated cloud engineers. The tool addresses a common pain point by orchestrating 15–20 cloud resources—including Docker, Terraform, OAuth2, and Let's Encrypt—into a template-based, end-to-end encrypted stack. Led by Project Jupyter co-creator Brian Granger, the team envisions Jupyter Deploy eventually becoming part of the broader Jupyter ecosystem while maintaining a vendor-neutral architecture.GitHubGitHub - block/mcp-jupyterBlock has published an open-source repository for 'mcp-jupyter,' a Model Context Protocol (MCP) server designed to enable AI agents like Goose and Cursor to interact with JupyterLab notebooks. The tool allows agents to execute code, modify cells, and manage notebook states while preserving variable context through the JupyterLab Kernel.TechRepublicGoogle Colab vs Jupyter Notebook: Key Differences ExplainedGoogle Colab and Jupyter Notebook are compared as tools for creating and sharing computation documents, highlighting differences in cloud infrastructure, collaboration features, and library management. The article details pricing structures, noting that while both have free tiers, Google Colab offers paid plans for enhanced resources like higher memory and GPU access. Key distinctions include Colab's cloud-based nature enabling seamless syncing and easy sharing versus Jupyter's local installation which offers greater data security and independence from hardware limitations.Y CombinatorMinusX: AI Data Scientist for Jupyter and MetabaseMinusX, a Y Combinator-backed startup based in San Francisco, has launched an AI data scientist tool designed as a Chrome extension for analytics platforms like Jupyter and Metabase. The agent operates by mimicking user interactions to analyze data and answer queries within existing tools, aiming to solve bandwidth constraints for analysts and programmers. The company was founded by Vivek Aithal and Sreejith Puthanpurayil, who previously worked at comma.ai and Meta respectively.AnblicksTop 4 Machine Learning Platforms for Predictive AnalyticsThe article identifies RapidMiner Studio, Databricks Machine Learning Runtime, Microsoft Azure Machine Learning, and Jupyter Notebook as leading machine learning platforms for predictive analytics. It highlights that the global predictive analytics market is projected to grow from US$ 7.32 billion in 2019 to US$ 35.45 billion by 2027, driven by increasing data volumes and the need for automated insights.SiliconANGLEOne scientist's perspective on Spark | #SparkInsight - SiliconANGLEFernando Perez, a scientist at Lawrence Berkeley National Laboratory, discussed Spark's use of Jupyter and PySpark in an interview at IBM Spark Summit 2015. He noted that PySpark lets Python libraries integrate with Spark, and that DARPA partially funded the project. Perez said Spark added enterprise-level analytics to physical sciences workloads.