{"id":15944949,"url":"https://github.com/guiferviz/recipipe","last_synced_at":"2026-03-15T00:07:23.419Z","repository":{"id":95110458,"uuid":"175079454","full_name":"guiferviz/recipipe","owner":"guiferviz","description":"Improved pipelines for data science projects.","archived":false,"fork":false,"pushed_at":"2020-06-11T22:52:01.000Z","size":7229,"stargazers_count":4,"open_issues_count":0,"forks_count":1,"subscribers_count":3,"default_branch":"master","last_synced_at":"2025-01-29T08:11:16.640Z","etag":null,"topics":["data-science","machine-learning","machine-learning-pipelines","pipeline","preprocessing","sklearn"],"latest_commit_sha":null,"homepage":"","language":"Python","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/guiferviz.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":"AUTHORS.md","dei":null,"publiccode":null,"codemeta":null}},"created_at":"2019-03-11T20:32:39.000Z","updated_at":"2022-08-08T22:09:39.000Z","dependencies_parsed_at":"2023-05-26T18:00:10.245Z","dependency_job_id":null,"html_url":"https://github.com/guiferviz/recipipe","commit_stats":null,"previous_names":[],"tags_count":1,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/guiferviz%2Frecipipe","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/guiferviz%2Frecipipe/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/guiferviz%2Frecipipe/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/guiferviz%2Frecipipe/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/guiferviz","download_url":"https://codeload.github.com/guiferviz/recipipe/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":237073088,"owners_count":19251024,"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","machine-learning","machine-learning-pipelines","pipeline","preprocessing","sklearn"],"created_at":"2024-10-07T09:00:30.262Z","updated_at":"2025-10-19T06:30:16.554Z","avatar_url":"https://github.com/guiferviz.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"\n\u003cp align=\"center\"\u003e\n  \u003cimg src=\"https://raw.githubusercontent.com/guiferviz/recipipe/master/doc/_static/logo/logo.png\"\n       alt=\"Recipipe logo. A muffing with a couple of pipes over a green background.\" /\u003e\n\u003c/p\u003e\n\n![Minimun Python version \u003e= 3.6](https://img.shields.io/badge/Python-%3E=3.6-blue?style=flat\u0026logo=python)\n[![PyPI version](https://badge.fury.io/py/recipipe.svg)](https://badge.fury.io/py/recipipe)\n[![Python tests](https://github.com/guiferviz/recipipe/workflows/Python%20tests/badge.svg)](https://github.com/guiferviz/recipipe/actions?query=workflow%3A%22Python+tests%22)\n[![Coverage status](https://coveralls.io/repos/github/guiferviz/recipipe/badge.svg?branch=master)](https://coveralls.io/github/guiferviz/recipipe?branch=master)\n[![Build docs](https://github.com/guiferviz/recipipe/workflows/Build%20Docs/badge.svg)](https://guiferviz.com/recipipe/)\n[![GitHub license](https://img.shields.io/github/license/guiferviz/recipipe.svg)](https://github.com/guiferviz/recipipe/blob/master/LICENSE)\n\n[![Twitter @guiferviz](https://img.shields.io/twitter/follow/guiferviz?style=social)](https://twitter.com/guiferviz)\n\nImproved pipelines for data science projects.\n\n\n# Getting started\n\n\n## Why Recipipe?\n\nIt has cool features, like selecting columns using Unix patterns:\n\n\u003cimg src=\"https://raw.githubusercontent.com/guiferviz/recipipe/master/doc/_static/fnmatch.png\"\n     alt=\"Selecting multiple columns using a '*' in the column name.\" /\u003e\n\nor getting beautiful output column names instead of numeric indexed outputs:\n\n\u003cimg src=\"https://raw.githubusercontent.com/guiferviz/recipipe/master/doc/_static/output_names.png\"\n     alt=\"OneHot encoder returns named output columns.\" /\u003e\n\nor fitting a different transformer per group:\n\n\u003cimg src=\"https://raw.githubusercontent.com/guiferviz/recipipe/master/doc/_static/groupby_minmax.png\"\n     alt=\"A different minmax is fitted per each groupby value.\" /\u003e\n\nRead the tutorials and other examples to learn more.\n\n\n## Install from PyPI\n\n    pip install recipipe\n\nAll the dependencies will be installed automatically.\n\n\n## Install from source\n\nClone the repository and run:\n\n\tpip install .\n\nInstall the package in a dev environment with:\n\n    pip install -e .\n\nAll the dependencies will be installed automatically.\n\n\n## Tutorials and examples\n\n* Explore a notebook with a\n[list of things you can do with Recipipe](examples/features.ipynb).\n* Learn how to [transform Titanic data](examples/titanic.ipynb).\n* Learn how to use Recipipe analyzing data from weird creatures from another\nplanet: [Recipipe getting started tutorial](examples/paranoids.ipynb).\n\n\n## Running the tests\n\nRun all the test using:\n\n    pytest\n\nRun an specific test file with:\n\n    pytest tests/\u003cfilename\u003e\n\nRun tests with coverage using:\n\n    coverage run --source=recipipe -m pytest\n\n\n# What's the meaning of Recipipe?\n\nIt comes from a beautiful R library called [recipes][recipesR] and the concept\nof [pipelines][pipelinesWikipedia].\n\n    recipes + pipelines = recipipe\n\nThat explains the logo of a muffing (recipes) holding some pipes (pipelines).\n\n\u003cp align=\"center\"\u003e\n  \u003cimg src=\"https://raw.githubusercontent.com/guiferviz/recipipe/master/doc/_static/logo/logo.png\"\n       alt=\"Recipipe logo. A muffing with a couple of pipes over a green background.\"\n       width=100 /\u003e\n\u003c/p\u003e\n\n\n# License\n\nThis project is licensed under the **MIT License**, see the\n[LICENSE][license] file for details.\n\n\n# Author\n\n*guiferviz*, contributions are more than welcome.\n\n[![Twitter @guiferviz](https://img.shields.io/twitter/follow/guiferviz?style=social)](https://twitter.com/guiferviz)\n\n\n[license]: https://github.com/guiferviz/recipipe/blob/master/LICENSE\n[recipesR]: https://github.com/tidymodels/recipes\n[pipelinesWikipedia]: https://en.wikipedia.org/wiki/Pipeline_(computing)\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fguiferviz%2Frecipipe","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fguiferviz%2Frecipipe","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fguiferviz%2Frecipipe/lists"}