{"id":16325896,"url":"https://github.com/madhums/ds101","last_synced_at":"2026-05-06T01:31:33.097Z","repository":{"id":222820885,"uuid":"758466363","full_name":"madhums/ds101","owner":"madhums","description":"A small boilerplate/project with docker for data science.","archived":false,"fork":false,"pushed_at":"2024-03-15T20:21:32.000Z","size":159,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":2,"default_branch":"main","last_synced_at":"2025-02-17T06:31:54.953Z","etag":null,"topics":["data-science","docker","jupyter-notebook","machine-learning"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/madhums.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"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":"2024-02-16T11:36:43.000Z","updated_at":"2024-02-16T11:38:06.000Z","dependencies_parsed_at":null,"dependency_job_id":"488d0b8e-7a75-4536-bca7-ff0392aba99e","html_url":"https://github.com/madhums/ds101","commit_stats":null,"previous_names":["madhums/ds101"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/madhums%2Fds101","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/madhums%2Fds101/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/madhums%2Fds101/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/madhums%2Fds101/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/madhums","download_url":"https://codeload.github.com/madhums/ds101/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":254235701,"owners_count":22036964,"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":["data-science","docker","jupyter-notebook","machine-learning"],"created_at":"2024-10-10T23:06:57.275Z","updated_at":"2026-05-06T01:31:33.018Z","avatar_url":"https://github.com/madhums.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"## ds101\n\nA small boilerplate/project with docker for data science.\n\n### Getting started\n\n```sh\ncp config/.env.jupyter.example .env.jupyter\ncp config/.env.minio.example .env.minio\ncp config/.env.postgres.example .env.postgres\ncp config/.env.airflow.example .env.airflow\ncp config/.env.database.example .env.database\n```\n\nProvide appropriate values in the .env files and then run\n\n```sh\ndocker-compose up -d\n```\n\nif you want to persist jupyter settings, make sure to commit the container before taking it down. So\n\n```sh\ndocker commit jupyter\n# and then\ndocker-compose down\n```\n\nOtherwise you can simply stick to `docker-compose start` and `stop`.\n\n**Services:**\n\n- `jupyterlab`: Jupyter notebooks and jupyter lab where you can do fancy stuff ([localhost:8888](http://localhost:8888))\n- `minio`: A key value file store like aws ([localhost:9001](http://localhost:9001))\n- `postgres`: Database store\n- `metabase`: Cool data science stuff\n- `superset`: Another cool visualisations service\n- `airflow`: Scheduler and task runner ([localhost:8080](http://localhost:8080))\n\n**Structure:**\n\n- `config`: Contains environment variables, keys, secrets etc\n- `jupyter`: Contains notebooks\n- `dags`: Task runners\n\nData folders:\n- `data`: Contains data which is mounted on to minio\n- `db_data`: Postgres database persistant volumne\n- `metabase_data`: Metabase data persistant volume\n\n---\n\nInspired by [data-science-stack](https://github.com/jgoerner/data-science-stack-cookiecutter)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmadhums%2Fds101","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmadhums%2Fds101","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmadhums%2Fds101/lists"}