simpleitk
SimpleITK: a layer built on top of the Insight Toolkit (ITK), intended to simplify and facilitate ITK's use in rapid prototyping, education and interpreted languages.
Science Score: 49.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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✓codemeta.json file
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✓.zenodo.json file
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✓DOI references
Found 6 DOI reference(s) in README -
○Academic publication links
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✓Committers with academic emails
16 of 57 committers (28.1%) from academic institutions -
○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (9.4%) to scientific vocabulary
Keywords
Keywords from Contributors
Repository
SimpleITK: a layer built on top of the Insight Toolkit (ITK), intended to simplify and facilitate ITK's use in rapid prototyping, education and interpreted languages.
Basic Info
- Host: GitHub
- Owner: SimpleITK
- License: apache-2.0
- Language: SWIG
- Default Branch: main
- Homepage: http://www.simpleitk.org
- Size: 24.9 MB
Statistics
- Stars: 989
- Watchers: 36
- Forks: 217
- Open Issues: 64
- Releases: 82
Topics
Metadata Files
Readme.md
SimpleITK
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| release | 
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SimpleITK is an image analysis toolkit with a large number of components supporting general filtering operations, image segmentation and registration. It is built on top of the Insight Segmentation and Registration Toolkit ITK with the intent of providing a simplified interface to ITK. SimpleITK itself is written in C++ but is available for a large number of programming languages. Currently, these include:
Wrapping of the C++ code is accomplished through SWIG, in principle, any language wrapped by SWIG should be applicable to SimpleITK.
Unlike ITK's support of n-dimensional spatio-temporal images, SimpleITK supports 2D, 3D and 4D images. The dimensionality refers to spatio-temporal dimensions, the voxels can be n-dimensional vectors.
SimpleITK is licensed under the Apache License.
Acknowledgments
SimpleITK development has been supported by:
The Intramural Research Program of the National Institutes of Health, National Institute of Allergy and Infectious Diseases.
The US National Library of Medicine under the American Recovery and Reinvestment Act (ARRA) and under the Intramural Research Program of the U.S. National Institutes of Health.
The Insight Software Consortium and the ITK user and developer communities.
License and Copyright
The SimpleITK project is part of the Insight Software Consortium(ISC) a non-profit educational consortium dedicated to promoting and maintaining open-source, freely available software for bio-medical image analysis. The copyright is held by NumFOCUS. The SimpleITK software is distributed under the Apache License 2.0.
How to Cite
If you found SimpleITK useful in your research, support our efforts by citing the relevant publication(s):
R. Beare, B. C. Lowekamp, Z. Yaniv, "Image Segmentation, Registration and Characterization in R with SimpleITK", J Stat Software, 86(8), https://doi.org/10.18637/jss.v086.i08, 2018.
Z. Yaniv, B. C. Lowekamp, H. J. Johnson, R. Beare, "SimpleITK Image-Analysis Notebooks: a Collaborative Environment for Education and Reproducible Research", J Digit Imaging., 31(3): 290-303, https://doi.org/10.1007/s10278-017-0037-8, 2018.
B. C. Lowekamp, D. T. Chen, L. Ibáñez, D. Blezek, "The Design of SimpleITK", Front. Neuroinform., 7:45. https://doi.org/10.3389/fninf.2013.00045, 2013.
Documentation
With massive libraries like SimpleITK, good documentation is a must. The documentation for SimpleITK is split up into multiple levels: 1. API Documentation - This contains class and function documentation. The descriptions for functions and classes are primarily borrowed from the original ITK C++ classes. 2. SimpleITK Documentation - This site contains high-level guides (fundamental SimpleITK concepts, common conventions, etc.), details with respect to the toolkit's binary distributions, instructions for building the toolkit, as well as SimpleITK examples in all supported programming languages. 3. Jupyter Notebook Repository - This repository contains a collection of Jupyter Notebooks illustrating the use of SimpleITK for educational and research activities. The notebooks demonstrate the use of SimpleITK for interactive image analysis using the Python and R programming languages. Recommended reading, if you are starting with SimpleITK.
Support
SimpleITK provides access to most of the ITK components, but not all. If you are looking for something specific and can't find it, open an issue on GitHub or ask for support on the forum.
Report an Issue or Request a Feature
Please use the issue tracker to report problems or request features.
Owner
- Name: SimpleITK
- Login: SimpleITK
- Kind: organization
- Repositories: 25
- Profile: https://github.com/SimpleITK
GitHub Events
Total
- Create event: 11
- Release event: 54
- Issues event: 32
- Watch event: 84
- Delete event: 7
- Member event: 1
- Issue comment event: 130
- Push event: 128
- Pull request review comment event: 47
- Pull request review event: 178
- Pull request event: 253
- Fork event: 16
Last Year
- Create event: 11
- Release event: 54
- Issues event: 32
- Watch event: 84
- Delete event: 7
- Member event: 1
- Issue comment event: 130
- Push event: 128
- Pull request review comment event: 47
- Pull request review event: 178
- Pull request event: 253
- Fork event: 16
Committers
Last synced: 9 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| Bradley Lowekamp | b****p@m****v | 4,807 |
| Dave Chen | d****n@m****v | 265 |
| Gabe Hart | g****t@k****m | 193 |
| Daniel Blezek | b****l@m****u | 188 |
| Ziv Yaniv | z****v@n****v | 135 |
| Luis Ibanez | l****z@k****m | 114 |
| Richard Beare | R****e@g****m | 72 |
| Matt McCormick | m****k@k****m | 41 |
| Brad King | b****g@k****m | 31 |
| Seungkyoon Bong | s****g@y****u | 24 |
| Hans Johnson | h****n@u****u | 18 |
| Mike Bopf | m****f@m****v | 16 |
| Kasper Marstal | k****l@g****m | 16 |
| Dan Mueller | d****l@g****m | 14 |
| Jean-Christophe Fillion-Robin | j****r@k****m | 10 |
| Ben Boeckel | b****l@k****m | 10 |
| David Cole | d****e@k****m | 9 |
| Niels Dekker | N****r@l****l | 9 |
| Jens-Peter Tuppatsch | t****h@g****e | 6 |
| Justin Johnson | j****5@n****v | 6 |
| Ghislain Antony Vaillant | g****l | 5 |
| Philip MacMenamin | p****n@n****v | 5 |
| gram | m****l@o****v | 4 |
| Kevin Mader | k****r | 4 |
| Iain Morton | i****0@g****m | 4 |
| Addison Elliott | a****t@g****m | 3 |
| Boo Irizarry | b****y@L****v | 3 |
| zhangkai | z****i@n****v | 2 |
| Robert Maynard | r****d@k****m | 2 |
| Kenneth Moreland | k****l@s****v | 2 |
| and 27 more... | ||
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 6 months ago
All Time
- Total issues: 142
- Total pull requests: 621
- Average time to close issues: 4 months
- Average time to close pull requests: 16 days
- Total issue authors: 103
- Total pull request authors: 16
- Average comments per issue: 2.84
- Average comments per pull request: 0.57
- Merged pull requests: 482
- Bot issues: 0
- Bot pull requests: 4
Past Year
- Issues: 26
- Pull requests: 292
- Average time to close issues: 15 days
- Average time to close pull requests: 4 days
- Issue authors: 23
- Pull request authors: 10
- Average comments per issue: 2.04
- Average comments per pull request: 0.43
- Merged pull requests: 215
- Bot issues: 0
- Bot pull requests: 4
Top Authors
Issue Authors
- blowekamp (18)
- zivy (9)
- dstansby (4)
- DrDryg (2)
- PatrikBrynolfsson (2)
- SaluRamos (2)
- Czaki (2)
- sushant097 (2)
- dyollb (2)
- cookpa (2)
- NirutaDhimal (2)
- makarovNick (2)
- chris-rapson-formus (2)
- tanjia123456 (2)
- sdiebolt (1)
Pull Request Authors
- blowekamp (504)
- zivy (55)
- dave3d (20)
- mbopfNIH (11)
- jwj019 (7)
- dependabot[bot] (4)
- richardbeare (4)
- dyollb (3)
- chris-rapson-formus (2)
- hjmjohnson (2)
- cornking2020 (2)
- didididi2001 (2)
- fepegar (2)
- jhlegarreta (1)
- wbzyl (1)
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 4
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Total downloads:
- pypi 392,341 last-month
- Total docker downloads: 3,983
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Total dependent packages: 72
(may contain duplicates) -
Total dependent repositories: 261
(may contain duplicates) - Total versions: 111
- Total maintainers: 4
pypi.org: simpleitk
SimpleITK is a simplified interface to the Insight Toolkit (ITK) for image registration and segmentation
- Homepage: http://simpleitk.org/
- Documentation: https://simpleitk.readthedocs.io/en/release/
- License: Apache
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Latest release: 2.5.2
published 8 months ago
Rankings
Maintainers (3)
pypi.org: simpleitk-simpleelastix
SimpleITK is a simplified interface to the Insight Toolkit (ITK) for image registration and segmentation
- Homepage: http://simpleitk.org/
- Documentation: https://simpleitk.readthedocs.io/en/release/
- License: Apache
-
Latest release: 2.5.0.dev49
published over 1 year ago
Rankings
Maintainers (1)
proxy.golang.org: github.com/SimpleITK/SimpleITK
- Documentation: https://pkg.go.dev/github.com/SimpleITK/SimpleITK#section-documentation
- License: apache-2.0
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Latest release: v2.5.2+incompatible
published 8 months ago
Rankings
proxy.golang.org: github.com/simpleitk/simpleitk
- Documentation: https://pkg.go.dev/github.com/simpleitk/simpleitk#section-documentation
- License: apache-2.0
-
Latest release: v2.5.2+incompatible
published 8 months ago
Rankings
Dependencies
- cartopy
- matplotlib
- numpy
- pandas
- requests
- cmake *
- sphinx ==3.0.0
- sphinx-tabs *
- sphinx_rtd_theme *
- ubuntu 20.04 build
- ubuntu 18.04 build