lys
lys: interactive multi-dimensional data analysis and visualization platform - Published in JOSS (2023)
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
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
✓DOI references
Found 6 DOI reference(s) in README and JOSS metadata -
✓Academic publication links
Links to: joss.theoj.org -
✓Committers with academic emails
2 of 12 committers (16.7%) from academic institutions -
○Institutional organization owner
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✓JOSS paper metadata
Published in Journal of Open Source Software
Scientific Fields
Repository
Interactive multi-dimensional data analysis and visualization
Basic Info
Statistics
- Stars: 9
- Watchers: 1
- Forks: 1
- Open Issues: 5
- Releases: 4
Metadata Files
README.md
lys: interactive multi-dimensional data analysis and visualization platform
lys is an interactive multi-dimensional data analysis and visualization platform based on several popular libraries such as numpy, scipy, dask, and matplotlib. lys enables users to intuitive, flexible, parallelized, low-code, and extendable data analysis.

Publication: A. Nakamura. Journal of Open Source Software, 8(92), 5869 (2023).
Check out for the documentation for more information.
Installation
See the install documentation. System requirements are also found in this page.
Contributing
Please read documentation for details on our code of conduct, and the process for submitting pull requests to us.
License
This project is licensed under the GPLv3 License - see the LICENSE.md file for details
Owner
- Login: lys-devel
- Kind: user
- Repositories: 1
- Profile: https://github.com/lys-devel
JOSS Publication
lys: interactive multi-dimensional data analysis and visualization platform
Tags
dask matplotlib multi-dimensional dataGitHub Events
Total
- Watch event: 2
- Push event: 8
- Pull request event: 2
- Create event: 3
Last Year
- Watch event: 2
- Push event: 9
- Pull request event: 2
- Create event: 3
Committers
Last synced: 7 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| Asuka | f****n@g****m | 377 |
| Nakamura | N****a@R****N | 244 |
| lys-devel | l****l@g****m | 23 |
| kanahebiouzi | k****i@g****m | 22 |
| Nakamura-RIKEN | a****a@r****p | 22 |
| Asuka | l****v@g****m | 14 |
| Hidenori Tsuji | h****t@g****m | 6 |
| jun_koga | k****0@g****p | 6 |
| Your Name | y****u@e****m | 1 |
| han | h****n@h****a | 1 |
| Yusuke | y****i@s****p | 1 |
| Nakamura_master | a****a@h****a | 1 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 6 months ago
All Time
- Total issues: 19
- Total pull requests: 6
- Average time to close issues: 11 days
- Average time to close pull requests: about 5 hours
- Total issue authors: 4
- Total pull request authors: 3
- Average comments per issue: 1.89
- Average comments per pull request: 0.0
- Merged pull requests: 3
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 3
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 1
- Average comments per issue: 0
- Average comments per pull request: 0.0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- kuadrat (6)
- pr4deepr (5)
- lys-devel (4)
- mirrormatrix (1)
Pull Request Authors
- a-tock (5)
- emdupre (1)
- danielskatz (1)
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 1
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Total downloads:
- pypi 17 last-month
- Total dependent packages: 0
- Total dependent repositories: 0
- Total versions: 4
- Total maintainers: 1
pypi.org: lys-python
Interactive multi-dimensional data analysis and visualization
- Homepage: https://github.com/lys-devel/lys
- Documentation: https://lys-python.readthedocs.io/
- License: GNU GPLv3
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Latest release: 0.3.3
published about 2 years ago
Rankings
Maintainers (1)
Dependencies
- actions/checkout v3 composite
- actions/upload-artifact v1 composite
- openjournals/openjournals-draft-action master composite
- PyQt5 >=5.15.6
- QtPy >=2.0.1
- autopep8 >=1.6.0
- dask >=2021.3.0
- dask-image >=2021.12.0
- distributed >=2021.3.0
- matplotlib >=3.3.4
- numpy >=1.19.5
- opencv-python-headless >=4.5.5.64
- pyqtgraph >=0.11.1
- scipy >=1.5.4
