https://github.com/darribas/gds_env
A containerised platform for Geographic Data Science
Science Score: 49.0%
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✓.zenodo.json file
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✓DOI references
Found 1 DOI reference(s) in README -
✓Academic publication links
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○Scientific vocabulary similarity
Low similarity (14.1%) to scientific vocabulary
Keywords
Keywords from Contributors
Repository
A containerised platform for Geographic Data Science
Basic Info
- Host: GitHub
- Owner: darribas
- License: bsd-3-clause
- Language: Jupyter Notebook
- Default Branch: master
- Homepage: https://darribas.org/gds_env
- Size: 4.9 MB
Statistics
- Stars: 144
- Watchers: 11
- Forks: 41
- Open Issues: 12
- Releases: 12
Topics
Metadata Files
README.md
A containerised platform for Geographic Data Science: gds_env
The gds_env (short for "GDS environment") provides a modern platform for Geographic Data Science. The project is a Jupyter-based stack that includes state-of-the-art geospatial libraries for Python and R. The gds_env is based on container technology to make it a transferrable platform for reproducibility. The source code is released under an open source license and the build process is transparent.
The gds_env extends the official Jupyter Docker Stack to include geospatial functionality in both Python and R. To offer more flexibility, this extension is provided in three different flavours, or stacks (to ): gds_py, gds and gds_dev. Each of them builds on each other and adds further functionality. Please check the Stacks section for more information.
The goal of the gds_env is to make using Python and R for geospatial easy to set up in a large variety of contexts. The gds_env can support research and teaching activities, but is also suitable for data scientists using Python and R "in the field". The stacks can be used in a range of environments, including: Windows/Mac/Linux laptops and desktops, servers, compute clusters, supercomputers or in the cloud (e.g. you can deploy them on Binder). For more information on how to build or install any of the stacks, check the Guides section.
Building blocks
The gds_env stands on the shoulders of giants. Here are the core open technologies it is built with:
Community
The gds_env is an open-source project. To join the conversation, please read through its community guidelines.
Citation
bibtex
@software{gds_env,
author = { Dani Arribas-Bel },
title = {\texttt{gds\_env}: A containerised platform for Geographic Data Science},
url = {https://darribas.org/gds_env},
version = {10.0},
date = {2023-04-11},
doi = {10.5281/zenodo.4642516},
}
License
The code to generate the gds_env stacks is released under a BSD License. More details available on the repository's license document.
Owner
- Name: Dani Arribas-Bel
- Login: darribas
- Kind: user
- Website: darribas.org
- Repositories: 128
- Profile: https://github.com/darribas
GitHub Events
Total
- Issues event: 1
- Watch event: 7
- Issue comment event: 5
- Push event: 6
- Pull request event: 2
- Fork event: 2
- Create event: 1
Last Year
- Issues event: 1
- Watch event: 7
- Issue comment event: 5
- Push event: 6
- Pull request event: 2
- Fork event: 2
- Create event: 1
Committers
Last synced: 9 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| Dani Arribas-Bel | d****l@g****m | 672 |
| GitHub Action | a****n@g****m | 185 |
| Martin Fleischmann | m****n@m****t | 7 |
| Filipe Fernandes | o****f@g****m | 4 |
| Dani Arribas-Bel | d****i@a****l | 2 |
| Matthew Law | m****w@g****m | 1 |
| Levi John Wolf | l****f@g****m | 1 |
| Jon Reades | j****n@r****m | 1 |
| Francisco Rowe | f****e@g****m | 1 |
| Danny Tobin | d****n@M****l | 1 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 6 months ago
All Time
- Total issues: 63
- Total pull requests: 28
- Average time to close issues: 4 months
- Average time to close pull requests: 4 months
- Total issue authors: 9
- Total pull request authors: 11
- Average comments per issue: 1.9
- Average comments per pull request: 0.86
- Merged pull requests: 22
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 2
- Pull requests: 2
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 2
- Pull request authors: 1
- Average comments per issue: 0.5
- Average comments per pull request: 1.0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- darribas (44)
- martinfleis (7)
- Robinlovelace (3)
- sjsrey (3)
- ljwolf (1)
- paulterinho (1)
- TerryLines (1)
- knaaptime (1)
- anitagraser (1)
Pull Request Authors
- darribas (14)
- martinfleis (9)
- sdesabbata (2)
- ljwolf (1)
- dtobin22 (1)
- ocefpaf (1)
- fcorowe (1)
- Robinlovelace (1)
- jreades (1)
- sjsrey (1)
- matthew-law (1)
Top Labels
Issue Labels
Pull Request Labels
Dependencies
- actions/checkout v2 composite
- ad-m/github-push-action master composite
- conda-incubator/setup-miniconda v2 composite
- actions/checkout v2 composite
- ad-m/github-push-action master composite
- conda-incubator/setup-miniconda v2 composite
- actions/checkout v2 composite
- ad-m/github-push-action master composite
- conda-incubator/setup-miniconda v2 composite
- actions/checkout v2 composite
- ad-m/github-push-action master composite
- conda-incubator/setup-miniconda v2 composite
- darribas/gds 7.0 build
- gds_py test build
- darribas/gds_dev 10.0 build
- gds test build
- jupyter/minimal-notebook 2023-10-17 build