h5py
E459725
h5py is a Python library that provides a high-level, NumPy-friendly interface for reading and writing HDF5 files used for storing large numerical datasets.
All labels observed (2)
How this entity was disambiguated
This entity first appeared as the object of triple T4599958 — 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: h5py Context triple: [Python scientific stack, hasComponent, h5py]
-
A.
HDF
HDF is the acronym for the Hungarian Defence Forces, the unified military organization responsible for Hungary’s national defense and participation in international security operations.
-
B.
Dask
Dask is an open-source parallel computing library for Python that enables scalable, distributed data processing and analytics using familiar interfaces like NumPy, pandas, and scikit-learn.
-
C.
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.
-
D.
HJSON
HJSON is a human-friendly extension of JSON that relaxes its strict syntax to allow comments, unquoted keys, and other conveniences for easier configuration editing.
-
E.
Matplotlib
Matplotlib is a widely used Python plotting library for creating static, animated, and interactive visualizations.
- 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: h5py Target entity description: h5py is a Python library that provides a high-level, NumPy-friendly interface for reading and writing HDF5 files used for storing large numerical datasets.
-
A.
HDF
HDF is the acronym for the Hungarian Defence Forces, the unified military organization responsible for Hungary’s national defense and participation in international security operations.
-
B.
Dask
Dask is an open-source parallel computing library for Python that enables scalable, distributed data processing and analytics using familiar interfaces like NumPy, pandas, and scikit-learn.
-
C.
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.
-
D.
HJSON
HJSON is a human-friendly extension of JSON that relaxes its strict syntax to allow comments, unquoted keys, and other conveniences for easier configuration editing.
-
E.
Matplotlib
Matplotlib is a widely used Python plotting library for creating static, animated, and interactive visualizations.
- F. None of above. chosen
Statements (50)
| Predicate | Object |
|---|---|
| instanceOf |
Python library
ⓘ
open-source software ⓘ |
| availableOn |
PyPI
ⓘ
linked to:
Python Package Index
|
| compatibleWith | NumPy ⓘ |
| designedFor |
large numerical datasets
ⓘ
reading HDF5 files ⓘ writing HDF5 files ⓘ |
| documentationURL | https://docs.h5py.org ⓘ |
| ecosystem | Python scientific stack ⓘ |
| feature |
attribute access via dictionary-like interface
ⓘ
automatic conversion to NumPy arrays ⓘ group and dataset creation with dictionary-like syntax ⓘ lazy loading of data slices ⓘ memory-mapped style access to datasets ⓘ |
| fileFormat |
HDF5
ⓘ
linked to:
HDF
|
| hostedOn | GitHub ⓘ |
| implements | interface to HDF5 ⓘ |
| interoperatesWith |
HDF5 C library
ⓘ
linked to:
HDF
|
| license | BSD license ⓘ |
| oftenUsedWith |
Keras
ⓘ
NumPy ⓘ SciPy ⓘ TensorFlow ⓘ |
| packageName | h5py ⓘ |
| programmingLanguage | Python ⓘ |
| provides | NumPy-like interface to HDF5 datasets ⓘ |
| repositoryURL | https://github.com/h5py/h5py ⓘ |
| requires |
HDF5 library
ⓘ
linked to:
HDF
|
| supportsDataType |
compound data types
ⓘ
floating-point arrays ⓘ integer arrays ⓘ string data ⓘ variable-length strings ⓘ |
| supportsFeature |
attributes
ⓘ
chunked storage ⓘ compression ⓘ datasets ⓘ hierarchical groups ⓘ parallel HDF5 (MPI) in some builds ⓘ variable-length data ⓘ |
| supportsLanguage |
Python 3
ⓘ
linked to:
Python 3.x
|
| supportsOS |
Linux
ⓘ
Windows ⓘ macOS ⓘ |
| targetUser |
data scientists
ⓘ
engineers ⓘ scientists ⓘ |
| usedFor |
high-performance I/O of array data
ⓘ
machine learning data storage ⓘ scientific computing ⓘ |
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: h5py Description of subject: h5py is a Python library that provides a high-level, NumPy-friendly interface for reading and writing HDF5 files used for storing large numerical datasets.
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.