SciPy
E17842
SciPy is an open-source Python library that provides advanced scientific and technical computing tools, including modules for optimization, integration, statistics, signal processing, and linear algebra.
All labels observed (17)
| Label | Occurrences |
|---|---|
| SciPy canonical | 10 |
| Python scientific stack | 1 |
| SciPy conference | 1 |
| scipy.cluster | 1 |
| scipy.constants | 1 |
| scipy.fft | 1 |
| scipy.integrate | 1 |
| scipy.interpolate | 1 |
| scipy.io | 1 |
| scipy.linalg | 1 |
| scipy.ndimage | 1 |
| scipy.odr | 1 |
| scipy.optimize | 1 |
| scipy.signal | 1 |
| scipy.sparse | 1 |
| scipy.spatial | 1 |
| scipy.stats | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T148131 — 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: SciPy Context triple: [Python, dataScienceLibrary, SciPy]
-
A.
NumPy
NumPy is a fundamental Python library that provides efficient multi-dimensional arrays and numerical computing tools widely used in scientific computing and data analysis.
-
B.
scikit-learn
scikit-learn is a widely used open-source Python library that provides efficient tools for data mining, data analysis, and implementing a broad range of machine learning algorithms.
-
C.
Matplotlib
Matplotlib is a widely used Python plotting library for creating static, animated, and interactive visualizations.
-
D.
PyPy
PyPy is a high-performance alternative Python interpreter featuring a Just-In-Time (JIT) compiler designed to significantly speed up the execution of Python programs.
-
E.
Syncopy
Syncopy is a British film production company founded by director Christopher Nolan and producer Emma Thomas, known for backing many of Nolan’s major films.
- 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: SciPy Target entity description: SciPy is an open-source Python library that provides advanced scientific and technical computing tools, including modules for optimization, integration, statistics, signal processing, and linear algebra.
-
A.
NumPy
NumPy is a fundamental Python library that provides efficient multi-dimensional arrays and numerical computing tools widely used in scientific computing and data analysis.
-
B.
scikit-learn
scikit-learn is a widely used open-source Python library that provides efficient tools for data mining, data analysis, and implementing a broad range of machine learning algorithms.
-
C.
Matplotlib
Matplotlib is a widely used Python plotting library for creating static, animated, and interactive visualizations.
-
D.
PyPy
PyPy is a high-performance alternative Python interpreter featuring a Just-In-Time (JIT) compiler designed to significantly speed up the execution of Python programs.
-
E.
Syncopy
Syncopy is a British film production company founded by director Christopher Nolan and producer Emma Thomas, known for backing many of Nolan’s major films.
- F. None of above. chosen
Statements (51)
| Predicate | Object |
|---|---|
| instanceOf |
Python library
ⓘ
numerical analysis library ⓘ open-source software ⓘ scientific computing library ⓘ |
| builtOn | NumPy ⓘ |
| compatibleWith |
Python reference implementation (CPython)
ⓘ
surface form:
CPython
|
| dependsOn | NumPy ⓘ |
| developer |
SciPy Developers
ⓘ
SciPy community ⓘ |
| hasModule |
SciPy
self-linksurface differs
ⓘ
surface form:
scipy.cluster
SciPy self-linksurface differs ⓘ
surface form:
scipy.constants
SciPy self-linksurface differs ⓘ
surface form:
scipy.fft
SciPy self-linksurface differs ⓘ
surface form:
scipy.integrate
SciPy self-linksurface differs ⓘ
surface form:
scipy.interpolate
SciPy self-linksurface differs ⓘ
surface form:
scipy.io
SciPy self-linksurface differs ⓘ
surface form:
scipy.linalg
scipy.linalg.blas ⓘ scipy.linalg.lapack ⓘ SciPy self-linksurface differs ⓘ
surface form:
scipy.ndimage
SciPy self-linksurface differs ⓘ
surface form:
scipy.odr
SciPy self-linksurface differs ⓘ
surface form:
scipy.optimize
SciPy self-linksurface differs ⓘ
surface form:
scipy.signal
SciPy self-linksurface differs ⓘ
surface form:
scipy.sparse
SciPy self-linksurface differs ⓘ
surface form:
scipy.spatial
SciPy self-linksurface differs ⓘ
surface form:
scipy.stats
|
| license | BSD license ⓘ |
| partOf | SciPy ecosystem ⓘ |
| programmingLanguage | Python ⓘ |
| repository | https://github.com/scipy/scipy ⓘ |
| supports |
Fourier analysis
ⓘ
image processing ⓘ interpolation ⓘ linear algebra ⓘ numerical integration ⓘ numerical optimization ⓘ ordinary differential equations ⓘ partial differential equations (limited) ⓘ scientific computing ⓘ signal processing ⓘ sparse matrices ⓘ special functions ⓘ statistics ⓘ technical computing ⓘ |
| usedFor |
data analysis
ⓘ
engineering applications ⓘ scientific research ⓘ |
| usesLanguage | Python ⓘ |
| website | https://scipy.org ⓘ |
| writtenIn |
C
ⓘ
Cython ⓘ Python ⓘ |
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: SciPy Description of subject: SciPy is an open-source Python library that provides advanced scientific and technical computing tools, including modules for optimization, integration, statistics, signal processing, and linear algebra.
Referenced by (26)
Full triples — surface form annotated when it differs from this entity's canonical label.
this entity surface form:
SciPy conference
subject surface form:
Lambert W function