VAST
VAST: the Void Analysis Software Toolkit - Published in JOSS (2022)
Science Score: 95.0%
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
Found .zenodo.json file -
✓DOI references
Found 4 DOI reference(s) in README and JOSS metadata -
✓Academic publication links
Links to: zenodo.org -
✓Committers with academic emails
6 of 26 committers (23.1%) from academic institutions -
○Institutional organization owner
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✓JOSS paper metadata
Published in Journal of Open Source Software
Scientific Fields
Repository
Void Analysis Software Toolkit
Basic Info
- Host: GitHub
- Owner: DESI-UR
- License: bsd-3-clause
- Language: Jupyter Notebook
- Default Branch: main
- Homepage: https://vast.readthedocs.io/en/latest/
- Size: 32.4 MB
Statistics
- Stars: 11
- Watchers: 3
- Forks: 8
- Open Issues: 18
- Releases: 4
Metadata Files
README.md
VAST: Void Analysis Software Toolkit
The Void Analysis Software Toolkit, or VAST, provides pure Python implementations of two popular classes of void-finding algorithms in galaxy catalogs:
- Void identification by growing spherical voids.
- Void identification using watershed algorithms.
Our docs can be found here: https://vast.readthedocs.io/en/latest/
VoidFinder
VoidFinder is an algorithm which utilizes a sphere-growing method on a grid
search and a unionization of the sufficiently large spheres. The VoidFinder
directory contains the package, which includes an efficient Multi-Process
Cythonized version of VoidFinder (from vast.voidfinder import find_voids), as
well as an OpenGL based visualization for the output of VoidFinder (the
vast.voidfinder.viz package).
See here for 3D OpenGL-based visualization of VoidFinder's voids in SDSS DR7!
V2
V2 is a voronoi-tesselation-based algorithm for finding the void
regions, based on the ZOBOV algorithm. ZOBOV uses the gradient of the volume of
adjacent voronoi cells to flow multiple cells together into large void regions.
The Vsquared directory contains the package, which includes five different
methods for building void regions from voronoi cells, as well as an OpenGL based
visualization for the output of V2 (the vast.vsquared.viz package).
Owner
- Name: DESI-UR
- Login: DESI-UR
- Kind: organization
- Repositories: 5
- Profile: https://github.com/DESI-UR
JOSS Publication
VAST: the Void Analysis Software Toolkit
Authors
Tags
astronomy voids large-scale structure redshift surveyGitHub Events
Total
- Issues event: 12
- Watch event: 1
- Delete event: 10
- Issue comment event: 49
- Push event: 78
- Pull request review comment event: 1
- Pull request event: 18
- Pull request review event: 12
- Create event: 8
Last Year
- Issues event: 12
- Watch event: 1
- Delete event: 10
- Issue comment event: 49
- Push event: 78
- Pull request review comment event: 1
- Pull request event: 18
- Pull request review event: 12
- Create event: 8
Committers
Last synced: 5 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| Kelly | k****7@d****u | 223 |
| Segev BenZvi | s****i@i****u | 153 |
| Stephen W. O'Neill Jr | s****l@l****m | 111 |
| Dylan Veyrat | d****t@u****u | 66 |
| Hernan Rincon | h****2@g****m | 44 |
| Micahaela Guzzetti | m****i@n****y | 39 |
| Segev BenZvi | s****i | 32 |
| QuiteAFoxtrot | s****5@g****m | 32 |
| Hernan | h****2@g****m | 7 |
| Fatima Zaidouni | 4****i | 5 |
| Hernan Benjamin Rincon | h****n@l****v | 4 |
| Hernan Benjamin Rincon | h****n@l****v | 3 |
| ChangHoon Hahn | c****n@p****u | 2 |
| Hernan Benjamin Rincon | h****n@l****v | 2 |
| Hernan Benjamin Rincon | h****n@l****v | 2 |
| Segev BenZvi | s****i@r****u | 2 |
| Fatima | F****a@H****l | 1 |
| Hernan Benjamin Rincon | h****n@l****v | 1 |
| Hernan Benjamin Rincon | h****n@l****v | 1 |
| Hernan Benjamin Rincon | h****n@l****v | 1 |
| Hernan Benjamin Rincon | h****n@l****v | 1 |
| Hernan Benjamin Rincon | h****n@l****v | 1 |
| Hernan Benjamin Rincon | h****n@l****v | 1 |
| KELLY DOUGLASS | k****7@b****u | 1 |
| Michaela Guzzetti | 4****i | 1 |
| Dan Foreman-Mackey | d****m@d****o | 1 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 4 months ago
All Time
- Total issues: 48
- Total pull requests: 76
- Average time to close issues: 7 months
- Average time to close pull requests: about 1 month
- Total issue authors: 11
- Total pull request authors: 8
- Average comments per issue: 1.71
- Average comments per pull request: 0.7
- Merged pull requests: 62
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 9
- Pull requests: 18
- Average time to close issues: 24 days
- Average time to close pull requests: 13 days
- Issue authors: 5
- Pull request authors: 3
- Average comments per issue: 2.11
- Average comments per pull request: 1.78
- Merged pull requests: 10
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- QuiteAFoxtrot (15)
- kadglass (10)
- lavaux (6)
- hbrincon (5)
- sybenzvi (4)
- o-curtis (2)
- gideonkmc (2)
- changhoonhahn (1)
- dveyrat (1)
- ANSalcedo (1)
- mrhossen38 (1)
Pull Request Authors
- QuiteAFoxtrot (23)
- sybenzvi (22)
- hbrincon (13)
- kadglass (13)
- dveyrat (3)
- changhoonhahn (2)
- fzaidouni (1)
- dfm (1)
Top Labels
Issue Labels
Pull Request Labels
Dependencies
- Cython >=0.29.21
- PyOpenGL >=3.1.5
- PyOpenGL-accelerate >=3.1.5
- astropy >=4.1
- h5py >=3.1.0
- healpy >=1.15.0
- matplotlib >=3.3.3
- numpy >=1.19.4
- psutil >=5.7.3
- pyopengltk *
- pytest >=6.1.2
- scikit-learn >=0.23.2
- vispy >=0.6.5
- actions/checkout v2 composite
- actions/setup-python v2 composite
