Mayavi
E459728
Mayavi is a 3D scientific data visualization library for Python, widely used for interactive plotting and analysis of complex numerical data.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Mayavi canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T4599961 — 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: Mayavi Context triple: [Python scientific stack, hasComponent, Mayavi]
-
A.
Miro
Miro is a common Finnish given name, often used for males and sometimes derived from longer names like Miroslav.
-
B.
Matplotlib
Matplotlib is a widely used Python plotting library for creating static, animated, and interactive visualizations.
-
C.
Blender
Blender is a free and open-source 3D creation suite widely used for modeling, animation, rendering, and visual effects in film, games, and design.
-
D.
Jinja
Jinja is a major town in southeastern Uganda, known as a key industrial center and a popular tourist destination near the source of the Nile River.
-
E.
Jinja
Jinja is a popular and powerful templating engine for Python, widely used for generating dynamic HTML in web applications and frameworks like Flask.
- 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: Mayavi Target entity description: Mayavi is a 3D scientific data visualization library for Python, widely used for interactive plotting and analysis of complex numerical data.
-
A.
Miro
Miro is a common Finnish given name, often used for males and sometimes derived from longer names like Miroslav.
-
B.
Matplotlib
Matplotlib is a widely used Python plotting library for creating static, animated, and interactive visualizations.
-
C.
Blender
Blender is a free and open-source 3D creation suite widely used for modeling, animation, rendering, and visual effects in film, games, and design.
-
D.
Jinja
Jinja is a major town in southeastern Uganda, known as a key industrial center and a popular tourist destination near the source of the Nile River.
-
E.
Jinja
Jinja is a popular and powerful templating engine for Python, widely used for generating dynamic HTML in web applications and frameworks like Flask.
- F. None of above. chosen
Statements (50)
| Predicate | Object |
|---|---|
| instanceOf |
3D visualization library
ⓘ
Python library ⓘ data visualization tool ⓘ software library ⓘ |
| basedOn | VTK NERFINISHED ⓘ |
| genre |
3D computer graphics
ⓘ
interactive visualization ⓘ scientific visualization ⓘ |
| hasFeature |
GUI-based pipeline editor
ⓘ
animation support ⓘ integration with TraitsUI ⓘ interactive 3D scene navigation ⓘ multiple rendering backends via VTK ⓘ off-screen rendering ⓘ saving visualizations to 3D scenes ⓘ saving visualizations to images ⓘ scripting interface in Python ⓘ |
| isFree | true ⓘ |
| isOpenSource | true ⓘ |
| license | BSD license NERFINISHED ⓘ |
| programmingLanguage | Python ⓘ |
| repositoryPlatform | GitHub NERFINISHED ⓘ |
| supports |
NumPy arrays
ⓘ
image data ⓘ mesh data ⓘ point data ⓘ structured grids ⓘ unstructured grids ⓘ |
| supportsEnvironment |
IPython
NERFINISHED
ⓘ
Jupyter Notebook NERFINISHED ⓘ Qt-based applications ⓘ wxPython-based applications ⓘ |
| supportsLanguage | Python ⓘ |
| supportsPlatform |
Linux
ⓘ
Windows ⓘ macOS ⓘ |
| typicalDomain |
computational physics
ⓘ
data analysis ⓘ engineering ⓘ scientific computing ⓘ |
| usedFor |
3D scientific data visualization
ⓘ
interactive plotting ⓘ isosurface visualization ⓘ scalar field visualization ⓘ scientific computing workflows ⓘ surface rendering ⓘ vector field visualization ⓘ visual analysis of numerical data ⓘ volume rendering ⓘ |
| usesLibrary | VTK NERFINISHED ⓘ |
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: Mayavi Description of subject: Mayavi is a 3D scientific data visualization library for Python, widely used for interactive plotting and analysis of complex numerical data.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.