Qt5Agg
E100299
Qt5Agg is a Matplotlib rendering backend that combines the Qt5 GUI framework with the Anti-Grain Geometry (Agg) engine to display high-quality interactive plots.
All labels observed (4)
How this entity was disambiguated
This entity first appeared as the object of triple T816615 — 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: Qt5Agg Context triple: [Matplotlib, usesBackend, Qt5Agg]
-
A.
TkAgg
TkAgg is a Matplotlib backend that renders plots using the Agg engine and displays them in GUI windows via the Tkinter toolkit.
-
B.
Matplotlib
Matplotlib is a widely used Python plotting library for creating static, animated, and interactive visualizations.
-
C.
Seaborn
Seaborn is a Python data visualization library built on top of Matplotlib that provides a high-level interface for creating attractive and informative statistical graphics.
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D.
MATE desktop environment
MATE desktop environment is a lightweight, traditional-style graphical user interface for Unix-like operating systems, continuing the classic GNOME 2 experience with ongoing updates and support.
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E.
Plotly
Plotly is an interactive, open-source graphing and data visualization library widely used in Python for creating rich, web-based charts and dashboards.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Target entity: Qt5Agg Target entity description: Qt5Agg is a Matplotlib rendering backend that combines the Qt5 GUI framework with the Anti-Grain Geometry (Agg) engine to display high-quality interactive plots.
-
A.
TkAgg
TkAgg is a Matplotlib backend that renders plots using the Agg engine and displays them in GUI windows via the Tkinter toolkit.
-
B.
Matplotlib
Matplotlib is a widely used Python plotting library for creating static, animated, and interactive visualizations.
-
C.
Seaborn
Seaborn is a Python data visualization library built on top of Matplotlib that provides a high-level interface for creating attractive and informative statistical graphics.
-
D.
MATE desktop environment
MATE desktop environment is a lightweight, traditional-style graphical user interface for Unix-like operating systems, continuing the classic GNOME 2 experience with ongoing updates and support.
-
E.
Plotly
Plotly is an interactive, open-source graphing and data visualization library widely used in Python for creating rich, web-based charts and dashboards.
- F. None of above. chosen
Statements (47)
| Predicate | Object |
|---|---|
| instanceOf |
Matplotlib backend
ⓘ
interactive plotting backend ⓘ rendering backend ⓘ |
| abbreviationOf |
Qt5Agg
self-linksurface differs
ⓘ
surface form:
Qt5 + Agg
|
| basedOn | Agg rasterization ⓘ |
| belongsTo | Matplotlib GUI backends ⓘ |
| category |
Agg-based backend
ⓘ
GUI backend ⓘ |
| compatibleWith |
PyQt5 or PySide2
ⓘ
surface form:
PyQt5
PySide2 ⓘ |
| documentationURL | https://matplotlib.org/stable/users/explain/backends.html ⓘ |
| fullName | Qt5Agg backend ⓘ |
| integrates | Matplotlib event loop with Qt5 event loop ⓘ |
| partOf | Matplotlib ⓘ |
| provides | interactive Matplotlib backend for Qt5 ⓘ |
| renderingType | raster ⓘ |
| rendersWith | Anti-Grain Geometry ⓘ |
| requires |
PyQt5 or PySide2
ⓘ
Qt ⓘ
surface form:
Qt5
|
| selectedBy |
MPLBACKEND=Qt5Agg
ⓘ
matplotlib.use("Qt5Agg") ⓘ |
| successorOf |
Qt5Agg
self-linksurface differs
ⓘ
surface form:
Qt4Agg
|
| supports |
event handling
ⓘ
figure windows ⓘ high-quality 2D rendering ⓘ interactive plots ⓘ keyboard interaction ⓘ mouse interaction ⓘ panning ⓘ saving figures ⓘ zooming ⓘ |
| supportsFeature |
high-quality anti-aliased lines
ⓘ
multiple figure windows ⓘ resizable windows ⓘ rubberband zoom ⓘ toolbar controls ⓘ |
| supportsOS |
Linux
ⓘ
Windows ⓘ macOS ⓘ |
| targetLanguage | Python ⓘ |
| usedFor |
displaying Matplotlib figures in Qt5 applications
ⓘ
embedding plots in Qt5 GUIs ⓘ |
| usedIn |
data visualization tools built with Qt5
ⓘ
desktop scientific applications ⓘ |
| usedInLibrary | Matplotlib ⓘ |
| usesGUIFramework |
Qt
ⓘ
surface form:
Qt5
|
| usesRenderingEngine | Agg ⓘ |
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: Qt5Agg Description of subject: Qt5Agg is a Matplotlib rendering backend that combines the Qt5 GUI framework with the Anti-Grain Geometry (Agg) engine to display high-quality interactive plots.
Referenced by (5)
Full triples — surface form annotated when it differs from this entity's canonical label.