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Astropy: Applications & Science
Astropy is a collection of software packages written in the Python programming language and designed for use in astronomy. The software is a single, free, core package for astronomical utilities due to the increasingly widespread usage of Python by astronomers, and to foster interoperability between various extant Python astronomy packages. Astropy is…
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Astropy topic overview
The analysis highlights Applications and Science as prominent areas in the source structure around Astropy.
Related topics
43
Source areas
6
Connected nodes
49
Extracted relationships
70
Related term clusters
25
Bridge connections
49
What this topic covers Research coverage
Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.
Development · 10 topics
Overview · 10 topics
Affiliated packages · 7 topics
Core functionality · 6 topics
Use · 6 topics
Publications · 4 topics
Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.
Key facts & relationships
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Developer
The Astropy Collaboration
License
BSD-new license
Operating system
Cross-platform
Repository
github.com/astropy/astropy
Stable release
8.0.1 / 8 July 2026; 47 days ago (8 July 2026)
Type
Technical computing
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Astropy
10Python programming language · Astronomy · Free software
A structured outline of related entities, concepts and subtopics. Open any item to build a new map centered on it.
Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.
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Advanced semantic analysis
How Astropy connects Entity context
Entity context groups extracted connections by relationship type. Counts show recurrence in the analyzed source; the examples are research signals, not claims about importance.
The extracted context around Astropy shows recurring relationship patterns in the source. For example, Astropy → Allen, ASP Conference Series, Astronomy Conference, Bibcode, Books, Bring, Fourth, Germany, Greenfield, Heidelberg, IM, Increasing Software Visibility, July, Python, Re-use, Robert, Robitaille, Simpson, Tollerud, Unproceedings Another extracted example is Astropy → Among, Analysis Facility, Around, Astronomy, Flexible Image Transport System, Image Reduction, IRAF, Many, Numeric, NumPy, PyFITS, Python, Python-based, SciPy, Since, Space Telescope Science Institute, STScI, The Astropy, Travis Oliphant. Use these groups to spot repeated connection types before inspecting the individual relationships.
Relationships are represented as Subject → Predicate → Object triples. Confidence describes extraction strength, not the real-world importance of a relationship; lower-confidence rows may be contextual rather than explicit.
TTTA extracted 70 structured relationships around Astropy. Examples in this analysis include Astropy → Developer → The Astropy Collaboration and Astropy → License → BSD-new license. The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
Astropy
Developer
The Astropy Collaboration
1.00
infobox
Astropy
License
BSD-new license
1.00
infobox
Astropy
Operating system
Cross-platform
1.00
infobox
Astropy
Repository
github.com/astropy/astropy
1.00
infobox
Astropy
Stable release
8.0.1 / 8 July 2026; 47 days ago (8 July 2026)
1.00
infobox
Astropy
Type
Technical computing
1.00
infobox
Astropy
Website
https://www.astropy.org/
1.00
infobox
Astropy
Written in
Python, C
1.00
infobox
Astropy
is a
collection of software packages written in the Python programming language and designed for use in astronomy
0.90
text
Astropy
related to Affiliated packages
Python
0.60
section
Astropy
related to Affiliated packages
Current
0.60
section
Astropy
related to Affiliated packages
IDL
0.60
section
No triples extracted yet.
Related concept clusters Related term clusters
Related term clusters group terms that sit near one another in the extracted graph. They are useful for discovering adjacent language and context, but proximity does not by itself imply a factual relationship.
The concept neighborhoods around Astropy bring nearby vocabulary together. In this analysis, examples include Python, Astronomy and Project. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Astropy
Python
Astronomy
Project
Package
Packages
Observatory
Publications
Release
Affiliated
Part
Pyfits
Core
astropy
Python
Astronomy
Project
Package
Packages
Observatory
Publications
Release
Affiliated
Part
Pyfits
Core
python programming language
Package
Core
Library
Stsci
Use
Data
Astronomers
Development
Interoperability
Large
Affiliated
Part
astronomy
Python
Astropy
Data
Packages
Astronomers
Core
Software
Use
Package
Free
Al
Development
anaconda python distribution
Package
Core
Library
Stsci
Use
Data
Astronomers
Development
Interoperability
Large
Affiliated
Part
data analysis
Observatory
Analysis
Data
Utilities
Publications
Science
Telescope
Project
Free
Library
Package
Python
python
Package
Core
Library
Stsci
Use
Data
Astronomers
Development
Interoperability
Large
Affiliated
Part
hierarchical data format
Observatory
Analysis
Utilities
Publications
Science
Telescope
Project
Library
Package
Python
Free
Packages
Connections between topic areas Semantic bridges
Semantic bridges connect parts of the graph that would otherwise be more separate. A bridge is a structural signal in this analysis, not a claim that the two topic areas are equivalent.
For Astropy, one of the stronger structural bridges in this analysis connects Astropy with Overview. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.
Astropy
Nodes50
Edges49
Triples70
Avg. degree1.96
Density0.04
Components1
Source & methodology
TTTA analyzes the structure around Astropy to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Applications & Science, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
