{"id":19060513,"url":"https://github.com/jlehrer1/cookiecutter-minimal-datascience","last_synced_at":"2026-06-19T18:33:21.466Z","repository":{"id":112507368,"uuid":"278787195","full_name":"jlehrer1/cookiecutter-minimal-datascience","owner":"jlehrer1","description":"A cookiecutter project template for simple, competitive data science projects","archived":false,"fork":false,"pushed_at":"2020-08-01T05:54:34.000Z","size":40,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-11-10T09:12:33.106Z","etag":null,"topics":["cookiecutter","data-science","minimal","python"],"latest_commit_sha":null,"homepage":"","language":null,"has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/jlehrer1.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"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":"2020-07-11T04:25:32.000Z","updated_at":"2020-08-01T05:54:36.000Z","dependencies_parsed_at":"2023-05-27T08:21:03.310Z","dependency_job_id":null,"html_url":"https://github.com/jlehrer1/cookiecutter-minimal-datascience","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/jlehrer1/cookiecutter-minimal-datascience","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jlehrer1%2Fcookiecutter-minimal-datascience","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jlehrer1%2Fcookiecutter-minimal-datascience/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jlehrer1%2Fcookiecutter-minimal-datascience/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jlehrer1%2Fcookiecutter-minimal-datascience/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/jlehrer1","download_url":"https://codeload.github.com/jlehrer1/cookiecutter-minimal-datascience/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jlehrer1%2Fcookiecutter-minimal-datascience/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":34544404,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-26T15:22:16.424Z","status":"online","status_checked_at":"2026-06-19T02:00:06.005Z","response_time":61,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"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":["cookiecutter","data-science","minimal","python"],"created_at":"2024-11-09T00:15:46.408Z","updated_at":"2026-06-19T18:33:21.449Z","avatar_url":"https://github.com/jlehrer1.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"# Cookiecutter: Minimal Datascience\n\nSimilar to the default provided by DrivenData, but simplified for casual project usage. \n\nTo use, run\n```\ncookiecutter https://github.com/jlehrer1/cookiecutter-minimal-datascience\n```\n\nI highly recommend aliasing the above command.\n\nThe structure of your project will be as follows\n```\n├── LICENSE\n├── README.md          \u003c- The top-level README for developers using this project.\n├── data\n│   ├── external       \u003c- Data from third party sources.\n│   ├── interim        \u003c- Intermediate data that has been transformed.\n│   ├── processed      \u003c- The final, canonical data sets for modeling.\n│   └── raw            \u003c- The original, immutable data dump.\n│\n├── models             \u003c- Trained and serialized models, model predictions, or model summaries\n│\n├── notebooks          \u003c- Jupyter notebooks. Naming convention is a number (for ordering),\n│                         the creator's initials, and a short `-` delimited description, e.g.\n│                         `1.0-jqp-initial-data-exploration`.\n│\n├── requirements.txt   \u003c- The requirements file for reproducing the analysis environment, e.g.\n│                         created with \"conda env export \u003e environment.yml\"\n│\n├── run.py             \u003c- Script for running the full analysis \n│                         \n├── src                \u003c- Source code for use in this project.\n    ├── __init__.py    \u003c- Makes src a Python module\n    │\n    ├── data           \u003c- Scripts to download or generate data\n    │   └── make_dataset.py\n    │ \n    ├── features       \u003c- Scripts to turn raw data into features for modeling\n    │   └── build_features.py\n    │\n    ├── models         \u003c- Scripts to train models and then use trained models to make\n    │   │                 predictions\n    │   ├── predict_model.py\n    │   └── train_model.py\n    │\n    └── visualization  \u003c- Scripts to create exploratory and results oriented visualizations\n        └── visualize.py\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjlehrer1%2Fcookiecutter-minimal-datascience","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fjlehrer1%2Fcookiecutter-minimal-datascience","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjlehrer1%2Fcookiecutter-minimal-datascience/lists"}