Project Jupyter
E426663
Project Jupyter is an open-source initiative that develops interactive computing tools and standards, most notably the Jupyter ecosystem for creating and sharing computational notebooks across multiple programming languages.
All labels observed (4)
| Label | Occurrences |
|---|---|
| Project Jupyter canonical | 8 |
| Jupyter | 2 |
| Jupyter interactive computing environment | 1 |
| https://jupyter.org | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T4276944 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Project Jupyter Context triple: [Jupyter Notebook, partOf, Project Jupyter]
-
A.
Jupyter Notebook
Jupyter Notebook is an open-source web-based interactive computing environment that allows users to create and share documents containing live code, equations, visualizations, and narrative text.
-
B.
JupyterLab
JupyterLab is a web-based interactive development environment for working with Jupyter notebooks, code, and data.
-
C.
Datalore
Datalore is JetBrains’ collaborative data science and analytics platform that combines notebooks, computation, and team features for working with code and data in the cloud.
-
D.
Project Sourceberg
Project Sourceberg was the original name for Wikisource, a Wikimedia project that provides a free online library of source texts and public domain documents.
-
E.
Project Juno
Project Juno was a privately funded British spaceflight program that sent chemist Helen Sharman to become the first British person in space aboard the Soviet Mir space station in 1991.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Project Jupyter Target entity description: Project Jupyter is an open-source initiative that develops interactive computing tools and standards, most notably the Jupyter ecosystem for creating and sharing computational notebooks across multiple programming languages.
-
A.
Jupyter Notebook
Jupyter Notebook is an open-source web-based interactive computing environment that allows users to create and share documents containing live code, equations, visualizations, and narrative text.
-
B.
JupyterLab
JupyterLab is a web-based interactive development environment for working with Jupyter notebooks, code, and data.
-
C.
Datalore
Datalore is JetBrains’ collaborative data science and analytics platform that combines notebooks, computation, and team features for working with code and data in the cloud.
-
D.
Project Sourceberg
Project Sourceberg was the original name for Wikisource, a Wikimedia project that provides a free online library of source texts and public domain documents.
-
E.
Project Juno
Project Juno was a privately funded British spaceflight program that sent chemist Helen Sharman to become the first British person in space aboard the Soviet Mir space station in 1991.
- F. None of above. chosen
Statements (64)
| Predicate | Object |
|---|---|
| instanceOf |
interactive computing platform
ⓘ
non-profit organization ⓘ open-source software project ⓘ |
| aimsTo |
enable interactive, reproducible computing
ⓘ
support open science and open education ⓘ |
| associatedWith | NumFOCUS ⓘ |
| develops |
Jupyter Book
ⓘ
Jupyter Notebook ⓘ Jupyter kernels ⓘ Jupyter messaging protocol ⓘ Jupyter protocol ⓘ Jupyter server ⓘ
linked to:
Jupyter Server
Jupyter widgets ⓘ JupyterHub ⓘ JupyterHub for multi-user notebooks ⓘ JupyterLab ⓘ JupyterLite ⓘ nbconvert ⓘ
linked to:
Pandoc
|
| documentation | https://docs.jupyter.org ⓘ |
| field |
data science
ⓘ
education technology ⓘ interactive computing ⓘ scientific computing ⓘ |
| foundedBy |
Brian Granger
ⓘ
Fernando Pérez ⓘ Min Ragan-Kelley ⓘ |
| governingBody | Project Jupyter Steering Council ⓘ |
| hasComponent |
Jupyter Notebook file format .ipynb
ⓘ
Jupyter frontends ⓘ Jupyter kernels ⓘ Jupyter server ⓘ
linked to:
Jupyter Server
JupyterHub ⓘ JupyterLab ⓘ |
| hasStandard |
Jupyter Notebook JSON format
ⓘ
linked to:
Jupyter Notebook
Jupyter kernel protocol ⓘ
linked to:
Jupyter protocol
Jupyter messaging protocol ⓘ
linked to:
Jupyter protocol
|
| inception | 2014 ⓘ |
| inspired |
Azure Notebooks
ⓘ
Google Colab ⓘ many notebook-based platforms ⓘ |
| language | English ⓘ |
| license | BSD-style open-source licenses ⓘ |
| name | Project Jupyter ⓘ |
| openSource | true ⓘ |
| originatedFrom | IPython ⓘ |
| recognition | received the ACM Software System Award (for Jupyter team) in 2017 ⓘ |
| shortName |
Jupyter
ⓘ
linked to:
Project Jupyter
|
| supports |
C++
ⓘ
Julia ⓘ Python ⓘ R ⓘ Scala ⓘ many programming languages via kernels ⓘ multi-language notebooks ⓘ |
| supportsEnvironment |
cloud deployment
ⓘ
high-performance computing clusters ⓘ local installation ⓘ |
| usedFor |
creating computational narratives
ⓘ
data analysis ⓘ machine learning workflows ⓘ reproducible research ⓘ scientific research ⓘ teaching programming ⓘ |
| website |
https://jupyter.org
ⓘ
linked to:
Project Jupyter
|
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: Project Jupyter Description of subject: Project Jupyter is an open-source initiative that develops interactive computing tools and standards, most notably the Jupyter ecosystem for creating and sharing computational notebooks across multiple programming languages.
Referenced by (12)
Full triples — surface form annotated when it differs from this entity's canonical label.
linked to: Project Jupyter
linked to: Project Jupyter
linked to: Project Jupyter