{"id":13427072,"url":"https://github.com/darribas/gds_env","last_synced_at":"2025-04-04T15:09:23.562Z","repository":{"id":10424147,"uuid":"65582539","full_name":"darribas/gds_env","owner":"darribas","description":"A containerised platform for Geographic Data Science","archived":false,"fork":false,"pushed_at":"2025-03-19T14:50:21.000Z","size":5128,"stargazers_count":140,"open_issues_count":11,"forks_count":41,"subscribers_count":11,"default_branch":"master","last_synced_at":"2025-03-28T14:08:00.034Z","etag":null,"topics":["docker","geographic-data-science","jupyter-lab","latex","python","r"],"latest_commit_sha":null,"homepage":"https://darribas.org/gds_env","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"bsd-3-clause","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/darribas.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":"CONTRIBUTING.md","funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2016-08-12T20:44:11.000Z","updated_at":"2025-03-19T14:50:26.000Z","dependencies_parsed_at":"2024-06-29T08:34:22.404Z","dependency_job_id":"d53bdfa0-196d-4257-a449-db15fa7e39df","html_url":"https://github.com/darribas/gds_env","commit_stats":null,"previous_names":[],"tags_count":14,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/darribas%2Fgds_env","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/darribas%2Fgds_env/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/darribas%2Fgds_env/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/darribas%2Fgds_env/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/darribas","download_url":"https://codeload.github.com/darribas/gds_env/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":247198461,"owners_count":20900080,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["docker","geographic-data-science","jupyter-lab","latex","python","r"],"created_at":"2024-07-31T00:01:52.910Z","updated_at":"2025-04-04T15:09:23.544Z","avatar_url":"https://github.com/darribas.png","language":"Jupyter Notebook","funding_links":[],"categories":["Jupyter Notebook"],"sub_categories":[],"readme":"# A containerised platform for Geographic Data Science: `gds_env`\n\n[![](https://images.microbadger.com/badges/image/darribas/gds:10.0.svg)](https://microbadger.com/images/darribas/gds:10.0 \"Get your own image badge on microbadger.com\")\n[![](https://images.microbadger.com/badges/version/darribas/gds:10.0.svg)](https://microbadger.com/images/darribas/gds:10.0 \"Get your own version badge on microbadger.com\")\n[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/darribas/gds_env/master)\n\n* [Dani Arribas-Bel](http://darribas.org)\n  [[`@darribas`](http://twitter.com/darribas)]\n  \nThe `gds_env` (short for \"GDS environment\") provides a modern platform for Geographic Data Science. The project is a [Jupyter](https://jupyter.org/)-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](https://github.com/darribas/gds_env/blob/master/LICENSE) and the build process is transparent.\n\nThe `gds_env` extends the official [Jupyter Docker Stack](https://jupyter-docker-stacks.readthedocs.io/en/latest/) 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`](stacks/gds_py), [`gds`](stacks/gds) and [`gds_dev`](stacks/gds_dev). Each of them builds on each other and adds further functionality. Please check the [Stacks section](stacks) for more information.\n\nThe 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](https://mybinder.org/)). For more information on how to build or install any of the stacks, check the [Guides section](guides).\n\n## Building blocks\n\nThe `gds_env` stands on the shoulders of giants. Here are the core open technologies it is built with:\n\n \u003cstyle\u003e\n.vertimg {\n  vertical-align: middle;\n}\n\u003c/style\u003e\n\n[\u003cimg src=\"https://upload.wikimedia.org/wikipedia/commons/c/c3/Python-logo-notext.svg\" alt=\"Python\" width=\"75\" height=\"90\" class=\"vertimg\"\u003e](https://www.python.org/)\n[\u003cimg src=\"https://www.r-project.org/logo/Rlogo.svg\" alt=\"R-project\" width=\"95\" height=\"90\" class=\"vertimg\"\u003e](https://www.r-project.org/)\n[\u003cimg src=\"https://upload.wikimedia.org/wikipedia/commons/3/38/Jupyter_logo.svg\" alt=\"Jupyter\" width=\"95\" height=\"90\" class=\"vertimg\"\u003e](https://jupyter.org/)\n[\u003cimg src=\"https://www.docker.com/sites/default/files/d8/2019-07/vertical-logo-monochromatic.png\" alt=\"Docker\" width=\"95\" height=\"90\" class=\"vertimg\"\u003e](https://www.docker.com/)\n[\u003cimg src=\"https://upload.wikimedia.org/wikipedia/commons/d/d5/Virtualbox_logo.png\" alt=\"VirtualBox\" width=\"95\" height=\"90\" class=\"vertimg\"\u003e](https://www.virtualbox.org/)\n\n## Community\n\nThe `gds_env` is an open-source project. To join the conversation, please read through its [community guidelines](contributing).\n\n## Citation\n\n[![DOI](https://zenodo.org/badge/65582539.svg)](https://zenodo.org/badge/latestdoi/65582539)\n\n```bibtex\n@software{gds_env,\n  author = { Dani Arribas-Bel },\n  title = {\\texttt{gds\\_env}: A containerised platform for Geographic Data Science},\n  url = {https://darribas.org/gds_env},\n  version = {10.0},\n  date = {2023-04-11},\n  doi  = {10.5281/zenodo.4642516},\n}\n```\n\n## License\n\nThe code to generate the `gds_env` stacks is released under a BSD License. More details available on the repository's [license document](https://github.com/darribas/gds_env/blob/master/LICENSE).\n\n---\n\n[\u003cimg src=\"https://github.com/darribas/gds_env/raw/master/website/gdsl.png\" width=\"250\"\u003e](https://www.liverpool.ac.uk/geographic-data-science/)\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdarribas%2Fgds_env","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdarribas%2Fgds_env","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdarribas%2Fgds_env/lists"}