JOSS: https://github.com/pysal/splot
Score: 19.869414305427146
Last synced: about 5 hours ago
JSON representation
Repository metadata:
Lightweight plotting for geospatial analysis in PySAL
- Host: GitHub
- URL: https://github.com/pysal/splot
- Owner: pysal
- License: bsd-3-clause
- Created: 2017-04-20T23:00:42.000Z (about 9 years ago)
- Default Branch: main
- Last Pushed: 2025-06-20T00:45:36.000Z (about 1 year ago)
- Last Synced: 2026-06-16T20:04:31.151Z (6 days ago)
- Language: Jupyter Notebook
- Size: 76.7 MB
- Stars: 100
- Watchers: 21
- Forks: 27
- Open Issues: 21
-
Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG.md
- Contributing: .github/CONTRIBUTING.md
- License: LICENSE.txt
Owner metadata:
- Name: Python Spatial Analysis Library
- Login: pysal
- Email:
- Kind: organization
- Description:
- Website:
- Location:
- Twitter:
- Company:
- Icon url: https://avatars.githubusercontent.com/u/3769919?v=4
- Repositories: 37
- Last Synced at: 2024-04-16T01:04:32.528Z
- Profile URL: https://github.com/pysal
GitHub Events
Total
- Fork event: 1
- Issue comment event: 14
- Issues event: 9
- Pull request event: 2
- Push event: 1
- Watch event: 4
- Total: 31
Last Year
- Watch event: 3
- Total: 3
Committers metadata
Last synced: 2 days ago
Total Commits: 3,381
Total Committers: 53
Avg Commits per committer: 63.792
Development Distribution Score (DDS): 0.665
Commits in past year: 0
Committers in past year: 0
Avg Commits per committer in past year: 0.0
Development Distribution Score (DDS) in past year: 0.0
| Name | Commits | |
|---|---|---|
| Serge Rey | s****y@g****m | 1133 |
| Phil Stephens | p****s@g****m | 399 |
| Stefanie Lumnitz | s****z@g****m | 320 |
| Charles Schimdt | s****c@g****m | 260 |
| Taylor Oshan | t****n@g****m | 241 |
| Jay | j****a@a****u | 149 |
| Dani Arribas-Bel | d****l@g****m | 142 |
| ljwolf | l****f@g****m | 103 |
| ljwolf | l****2@a****u | 101 |
| David Folch | d****h@g****m | 91 |
| Myhungha Hwang | m****4@g****m | 87 |
| Dani Arribas | d****e@g****m | 57 |
| James Gaboardi | j****i@g****m | 50 |
| Nick Malizia | n****a@g****m | 44 |
| pedrovma | p****a@g****m | 39 |
| Luc Anselin | l****n@g****m | 26 |
| Wei Kang | w****9@g****m | 24 |
| Martin Fleischmann | m****n@m****t | 18 |
| Qunshan | q****o@a****u | 10 |
| Marynia | m****k@g****m | 10 |
| James Gaboardi | j****i@f****u | 10 |
| renanxcortes | r****s@g****m | 8 |
| Xinyue Ye | x****e@g****m | 7 |
| Andrew Winslow | a****w@g****m | 6 |
| David Folch | d****h@t****l | 5 |
| kritin sai | k****1@g****m | 4 |
| Stuart Lynn | s****n@g****m | 3 |
| Serge Rey | s****y@g****m | 2 |
| bohumul | b****a@a****u | 2 |
| Sergio Rey | s****e@b****l | 2 |
| and 23 more... | ||
Issue and Pull Request metadata
Last synced: 4 days ago
Total issues: 63
Total pull requests: 65
Average time to close issues: over 1 year
Average time to close pull requests: 23 days
Total issue authors: 21
Total pull request authors: 8
Average comments per issue: 3.13
Average comments per pull request: 2.37
Merged pull request: 59
Bot issues: 0
Bot pull requests: 0
Past year issues: 2
Past year pull requests: 3
Past year average time to close issues: about 1 hour
Past year average time to close pull requests: about 1 hour
Past year issue authors: 1
Past year pull request authors: 1
Past year average comments per issue: 0.0
Past year average comments per pull request: 0.67
Past year merged pull request: 3
Past year bot issues: 0
Past year bot pull requests: 0
Top Issue Authors
- jGaboardi (21)
- slumnitz (12)
- martinfleis (8)
- knaaptime (4)
- ljwolf (2)
- LuYan5203 (1)
- olenaboiko303 (1)
- sjsrey (1)
- stevenlis (1)
- Babakjfard (1)
- digital-idiot (1)
- alsace-research (1)
- LSYS (1)
- darribas (1)
- SamComber (1)
Top Pull Request Authors
- slumnitz (34)
- jGaboardi (15)
- martinfleis (8)
- weikang9009 (4)
- MgeeeeK (1)
- arfon (1)
- sjsrey (1)
- tirkarthi (1)
Top Issue Labels
- enhancement (9)
- maintenance (9)
- discussion (5)
- priority: high (5)
- bug (4)
- level: expert (4)
- testing/CI (4)
- wishlist (4)
- doc (3)
- rough edge (3)
- roadmap (2)
- level: novice (2)
- GitHub Actions (2)
- maint/infra (2)
- question (1)
- priority: medium (1)
- help wanted (1)
- JOSS paper (1)
- WIP (1)
- priority: low (1)
Top Pull Request Labels
- testing/CI (9)
- bug (8)
- JOSS paper (4)
- doc (3)
- GitHub Actions (3)
- priority: high (2)
- WIP (2)
- maint/infra (2)
- rough edge (1)
- maintenance (1)
- roadmap (1)
- enhancement (1)
- blocked (1)
Package metadata
- Total packages: 3
-
Total downloads:
- pypi: 66,086 last-month
- Total docker downloads: 218
- Total dependent packages: 7 (may contain duplicates)
- Total dependent repositories: 73 (may contain duplicates)
- Total versions: 17
- Total maintainers: 3
pypi.org: splot
Visual analytics for spatial analysis with PySAL.
- Homepage: https://github.com/pysal/splot
- Documentation: https://splot.readthedocs.io/
- Licenses: 3-Clause BSD
- Latest release: 1.1.7 (published almost 2 years ago)
- Last Synced: 2026-06-20T22:00:25.880Z (2 days ago)
- Versions: 9
- Dependent Packages: 4
- Dependent Repositories: 49
- Downloads: 66,086 Last month
- Docker Downloads: 218
-
Rankings:
- Docker downloads count: 1.845%
- Dependent repos count: 2.102%
- Downloads: 2.317%
- Dependent packages count: 2.364%
- Average: 3.924%
- Stargazers count: 7.249%
- Forks count: 7.666%
- Maintainers (3)
conda-forge.org: splot
splot connects spatial analysis done in PySAL to different popular visualization toolkits like matplotlib. The splot package allows you to create both static plots ready for publication and interactive visualizations for quick iteration and spatial data exploration. The primary goal of splot is to enable you to visualize popular PySAL objects and gives you different views on your spatial analysis workflow.
- Homepage: http://pysal.org
- Licenses: BSD-3-Clause
- Latest release: 1.1.4 (published almost 5 years ago)
- Last Synced: 2026-04-01T03:22:14.711Z (3 months ago)
- Versions: 5
- Dependent Packages: 3
- Dependent Repositories: 12
-
Rankings:
- Dependent repos count: 10.155%
- Dependent packages count: 15.649%
- Average: 23.307%
- Forks count: 33.624%
- Stargazers count: 33.799%
anaconda.org: splot
splot connects spatial analysis done in PySAL to different popular visualization toolkits like matplotlib. The splot package allows you to create both static plots ready for publication and interactive visualizations for quick iteration and spatial data exploration. The primary goal of splot is to enable you to visualize popular PySAL objects and gives you different views on your spatial analysis workflow.
- Homepage: https://pysal.org
- Licenses: BSD-3-Clause
- Latest release: 1.1.7 (published 10 months ago)
- Last Synced: 2026-04-01T01:57:59.603Z (3 months ago)
- Versions: 3
- Dependent Packages: 0
- Dependent Repositories: 12
-
Rankings:
- Dependent repos count: 36.726%
- Stargazers count: 43.461%
- Average: 44.012%
- Forks count: 44.669%
- Dependent packages count: 51.193%
Dependencies
- esda *
- geopandas >=0.4.0
- giddy *
- libpysal *
- mapclassify *
- matplotlib *
- numpy *
- seaborn *
- spreg *
- bokeh * development
- codecov * development
- coverage * development
- ipywidgets * development
- jupyter * development
- nbconvert * development
- numpydoc * development
- pytest * development
- pytest-cov * development
- sphinx >=1.4.3 development
- sphinx_bootstrap_theme * development
- sphinxcontrib-bibtex * development
- actions/checkout v3 composite
- actions/github-script v6 composite
- actions/setup-python v3 composite
- pypa/gh-action-pypi-publish master composite
- actions/checkout v3 composite
- actions/setup-python v4 composite
- codecov/codecov-action v2 composite
- mamba-org/provision-with-micromamba main composite
- pre-commit/action v3.0.0 composite