Jupyter community
E426664
The Jupyter community is an open, collaborative group of developers, researchers, and educators who build and maintain the Jupyter ecosystem for interactive computing and data science.
All labels observed (2)
| Label | Occurrences |
|---|---|
| Jupyter Developers | 1 |
| Jupyter community canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T4276946 — 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.
Target entity: Jupyter community Context triple: [Jupyter Notebook, hasDeveloper, Jupyter community]
-
A.
Python community
The Python community is the global network of developers, users, and contributors who collaboratively build, maintain, and advance the Python programming language and its ecosystem.
-
B.
JupyterLab
JupyterLab is a web-based interactive development environment for working with Jupyter notebooks, code, and data.
-
C.
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.
-
D.
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.
-
E.
Python Consortium
The Python Consortium was an early industry-backed organization that coordinated corporate support and development for the Python programming language before its role was taken over by the Python Software Foundation.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Target entity: Jupyter community Target entity description: The Jupyter community is an open, collaborative group of developers, researchers, and educators who build and maintain the Jupyter ecosystem for interactive computing and data science.
-
A.
Python community
The Python community is the global network of developers, users, and contributors who collaboratively build, maintain, and advance the Python programming language and its ecosystem.
-
B.
JupyterLab
JupyterLab is a web-based interactive development environment for working with Jupyter notebooks, code, and data.
-
C.
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.
-
D.
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.
-
E.
Python Consortium
The Python Consortium was an early industry-backed organization that coordinated corporate support and development for the Python programming language before its role was taken over by the Python Software Foundation.
- F. None of above. chosen
Statements (49)
| Predicate | Object |
|---|---|
| instanceOf |
open source community
ⓘ
software development community ⓘ technical community ⓘ |
| aimsTo |
make interactive computing accessible
ⓘ
support education and research ⓘ |
| associatedWith | Project Jupyter NERFINISHED ⓘ |
| collaboratesWith |
NumFOCUS
NERFINISHED
ⓘ
open source data science projects ⓘ scientific Python community ⓘ |
| communicatesVia |
GitHub repositories
ⓘ
chat platforms ⓘ community forums ⓘ mailing lists ⓘ |
| composedOf |
data scientists
ⓘ
developers ⓘ educators ⓘ open source contributors ⓘ researchers ⓘ students ⓘ |
| contributesTo | Jupyter ecosystem ⓘ |
| focusesOn |
data science
ⓘ
interactive computing ⓘ open science ⓘ reproducible research ⓘ scientific computing ⓘ |
| governedBy | Jupyter governance model ⓘ |
| licenseModel | open source licenses ⓘ |
| maintains |
Jupyter Notebook
NERFINISHED
ⓘ
Jupyter documentation ⓘ Jupyter kernels ⓘ Jupyter widgets NERFINISHED ⓘ JupyterHub NERFINISHED ⓘ JupyterLab NERFINISHED ⓘ nbconvert NERFINISHED ⓘ |
| organizes |
community meetings
ⓘ
conference sessions ⓘ sprints ⓘ workshops ⓘ |
| produces |
documentation
ⓘ
educational materials ⓘ tutorials ⓘ |
| promotes |
open source software
ⓘ
open standards ⓘ reproducible workflows ⓘ |
| supports |
Julia
NERFINISHED
ⓘ
Python NERFINISHED ⓘ R NERFINISHED ⓘ Scala NERFINISHED ⓘ multiple programming languages ⓘ |
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.
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.
Subject: Jupyter community Description of subject: The Jupyter community is an open, collaborative group of developers, researchers, and educators who build and maintain the Jupyter ecosystem for interactive computing and data science.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.