SetVis
SetVis: Visualizing Large Numbers of Sets and Intersections - Published in JOSS (2024)
Science Score: 98.0%
This score indicates how likely this project is to be science-related based on various indicators:
-
○CITATION.cff file
-
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
✓DOI references
Found 7 DOI reference(s) in README and JOSS metadata -
✓Academic publication links
Links to: joss.theoj.org -
✓Committers with academic emails
4 of 8 committers (50.0%) from academic institutions -
✓Institutional organization owner
Organization alan-turing-institute has institutional domain (turing.ac.uk) -
✓JOSS paper metadata
Published in Journal of Open Source Software
Keywords
Scientific Fields
Repository
A tool for visualising set membership and patterns of missingness in data
Basic Info
- Host: GitHub
- Owner: alan-turing-institute
- License: apache-2.0
- Language: Python
- Default Branch: main
- Homepage: https://setvis.readthedocs.io
- Size: 3.73 MB
Statistics
- Stars: 4
- Watchers: 10
- Forks: 0
- Open Issues: 14
- Releases: 2
Topics
Metadata Files
README.md
setvis
Setvis is a python library for visualising set membership and patterns of missingness in data.
The plotting and interactive workflow of Setvis is designed for use within a Jupyter notebook (although it is possible to run outside Jupyter). The other components of Setvis can be used interactively or programmatically. The interactive plots are powered by Bokeh widgets.
It operates on data using a memory efficient architecture, and supports loading data from flat files, Pandas dataframes, and directly from a Postgres database.
Documentation
The setvis documentation is hosted on Read the Docs.
Installation (quick start)
For the complete installation instructions, consult the installation page of the documentation, which includes information on some extra installation options and setting up a suitable environment on several platforms.
We recommend installing setvis in a python virtual environment or Conda environment.
To install setvis, most users should run:
pip install 'setvis[notebooks]'
This will include everything to run setvis in a notebook, and to run the tutorial examples that do not need a database connection.
The Bokeh plots produced by setvis require the package notebook >= 6.4 to display properly. This will be included when installing setvis using the command above.
Tutorials
For basic examples, please see the two example notebooks: - Missingness example - Set example
Additionally, there is a series of Tutorials notebooks, starting with Tutorial 1.
After installing setvis, to follow theses tutorials interactively you will need to clone or download this repository. Then start jupyter from within it:
python -m jupyter notebook notebooks
Notice
The setvis software is released under the Apache Licence, version 2.0. See LICENCE for details.
The data files ./examples/datasets/simpsons - Format 1.csv and ./examples/datasets/simpsons - Format 2.csv, are based on a data file included in UpSet, copyright Visual Computing Group, Harvard, and distributed here under the terms of the MIT Licence.
The other data files in ./examples/datasets/ are released under the Creative Commons Attribution 4.0 International Licence (CC-BY-4.0).
Citing setvis
bibtex
@article{Ruddle2024, doi = {10.21105/joss.06925}, url = {https://doi.org/10.21105/joss.06925}, year = {2024}, publisher = {The Open Journal}, volume = {9}, number = {103}, pages = {6925}, author = {R.a. Ruddle and L. Hama and P Wochner and O.t. Strickson}, title = {SetVis: Visualizing Large Numbers of Sets and Intersections}, journal = {Journal of Open Source Software} }
Acknowledgements
The development of the setvis software was supported by funding from the Engineering and Physical Sciences Research Council (EP/N013980/1; EP/R511717/1) and the Alan Turing Institute.
Owner
- Name: The Alan Turing Institute
- Login: alan-turing-institute
- Kind: organization
- Email: info@turing.ac.uk
- Website: https://turing.ac.uk
- Repositories: 477
- Profile: https://github.com/alan-turing-institute
The UK's national institute for data science and artificial intelligence.
JOSS Publication
SetVis: Visualizing Large Numbers of Sets and Intersections
Authors
University of Leeds, Leeds, United Kingdom, Alan Turing Institute, London, United Kingdom
University of Leeds, Leeds, United Kingdom
Alan Turing Institute, London, United Kingdom
Alan Turing Institute, London, United Kingdom
Editor
Marcel Stimberg
Tags
set visualization setsGitHub Events
Total
- Create event: 5
- Issues event: 1
- Release event: 1
- Watch event: 1
- Delete event: 3
- Issue comment event: 12
- Push event: 19
- Pull request event: 12
- Fork event: 1
Last Year
- Create event: 5
- Issues event: 1
- Release event: 1
- Watch event: 1
- Delete event: 3
- Issue comment event: 12
- Push event: 19
- Pull request event: 12
- Fork event: 1
Committers
Last synced: 5 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| Oliver Strickson | o****n@t****k | 260 |
| Layik Hama | l****a@g****m | 78 |
| pwochner | p****r@t****k | 39 |
| Roy Ruddle | 5****e | 18 |
| Marcel Stimberg | m****g@s****r | 5 |
| pwochner | 7****r | 3 |
| Iain | 2****S | 1 |
| Roy Ruddle | s****r@l****k | 1 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 4 months ago
All Time
- Total issues: 37
- Total pull requests: 76
- Average time to close issues: 6 months
- Average time to close pull requests: 2 days
- Total issue authors: 4
- Total pull request authors: 6
- Average comments per issue: 1.46
- Average comments per pull request: 1.07
- Merged pull requests: 68
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 3
- Pull requests: 10
- Average time to close issues: 20 days
- Average time to close pull requests: 4 days
- Issue authors: 2
- Pull request authors: 4
- Average comments per issue: 3.67
- Average comments per pull request: 1.3
- Merged pull requests: 8
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- ots22 (26)
- layik (5)
- pwochner (4)
- royruddle (1)
- ChristinaLast (1)
Pull Request Authors
- ots22 (42)
- layik (26)
- pwochner (7)
- royruddle (5)
- mstimberg (1)
- Iain-S (1)
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 1
-
Total downloads:
- pypi 30 last-month
- Total dependent packages: 0
- Total dependent repositories: 0
- Total versions: 3
- Total maintainers: 1
pypi.org: setvis
Visualize set membership and missing data
- Homepage: https://github.com/alan-turing-institute/setvis
- Documentation: https://setvis.readthedocs.io/en/latest/
- License: Apache-2.0
-
Latest release: 0.1rc5
published about 1 year ago
Rankings
Maintainers (1)
Dependencies
- actions/checkout v2 composite
- actions/setup-python v2 composite
- 129 dependencies
- Bottleneck ^1.3
- Sphinx ^4.3
- bokeh ^2.3
- matplotlib ^3.4.3
- notebook ^6.4
- numexpr ^2.7
- numpy ^1.21
- pandas ^1.3
- psycopg2 ^2.9
- pydantic ^1.8
- pydata-sphinx-theme ^0.7
- pytest ^6.2
- python >=3.8,<3.12
- scikit-learn >=0.2
- scipy ^1.7
- tomli ^2.0