{"id":20780741,"url":"https://github.com/farrajota/automl_toolbox","last_synced_at":"2026-04-18T10:07:19.406Z","repository":{"id":53664052,"uuid":"150416387","full_name":"farrajota/automl_toolbox","owner":"farrajota","description":"Toolbox for building automatic Data Science solutions","archived":false,"fork":false,"pushed_at":"2021-03-20T00:08:40.000Z","size":74,"stargazers_count":0,"open_issues_count":1,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-03-11T22:34:17.373Z","etag":null,"topics":["automatic","automl","data-science","machine-learning","python3","toolbox"],"latest_commit_sha":null,"homepage":null,"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/farrajota.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}},"created_at":"2018-09-26T11:32:13.000Z","updated_at":"2019-06-10T13:57:16.000Z","dependencies_parsed_at":"2022-09-10T01:42:13.813Z","dependency_job_id":null,"html_url":"https://github.com/farrajota/automl_toolbox","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/farrajota/automl_toolbox","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/farrajota%2Fautoml_toolbox","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/farrajota%2Fautoml_toolbox/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/farrajota%2Fautoml_toolbox/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/farrajota%2Fautoml_toolbox/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/farrajota","download_url":"https://codeload.github.com/farrajota/automl_toolbox/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/farrajota%2Fautoml_toolbox/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":28000524,"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","status":"online","status_checked_at":"2025-12-24T02:00:07.193Z","response_time":83,"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":["automatic","automl","data-science","machine-learning","python3","toolbox"],"created_at":"2024-11-17T13:39:01.586Z","updated_at":"2025-12-24T10:16:18.923Z","avatar_url":"https://github.com/farrajota.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# AutoML toolbox - PROJECT DEPRECATED\n\n[![Python 3.6](https://img.shields.io/badge/python-3.6-blue.svg)](https://www.python.org/downloads/release/python-360/)\n\nThe **Auto**matic **M**achine **L**earning (AutoML) toolbox is a collection of methods with a simple API which can assist you in your Data Science tasks by providing boilerplate code in a form of simple functions ready to be used. You can use it as your personal Data Science assistant / wizard for creating ETL processes and/or a fully automated machine learning pipelines in a simple and quick way.\n\nThis library is intended to be used as a testing playground for a bunch of wrapper methods to serve as high-level APIs to a bunch of common tasks like:\n\n- data profiling\n- cleaning missing values\n- detecting outliers\n- performing feature engineering\n- hyper-parameter optimization\n- evaluating machine learning models\n- creating ensembles of such models\n- etc.\n\n## Warning\n\nThis code base is in heavy development for now. Once it reaches `v0.1.0` you may then try it, but for now you are at your own risk.\n\n## Installation\n\nFor now, to install this package you must build it from source. To do that, just run the following command in the terminal:\n\n```bash\npython setup.py install\n```\n\n\u003e Note: once this package reaches `v0.1.0` it will be possible to install it via pip.\n\n## Key Libraries used\n\nThis toolbox integrates the following packages in its core for doing most of its work. Basically, you can think of this package as a wrapper for a bunch functions you would uneed like cross-validation, hyperparameter optimization, etc., but with a nice, high-level API.\n\n- Numpy\n- Pandas\n- pandas-profiling (data profiler)\n- Scikit-learn (collection of ML libs)\n- xgboost (ML lib)\n- lightgbm (ML lib)\n- Hyperopt (hyperparam optim - bo)\n- HpBandSter (hyperparam optim - hyperband + bo)\n\n### Libraries to be integrated in the future\n\n- dask (distributed computing / big data)\n- keras (DL lib)\n- feature-tools (automatic feature engineering)\n- [pygdf](https://github.com/rapidsai/pygdf) (GPU DataFrame)\n\n## TODO\n\nFuncionalities intended to be added to the toolbox:\n\n- [x] basic data profiler\n- [ ] automatic analysis / benchmarking and filling of missing values\n- [ ] automatic analysis / benchmarking and cleaning of outliers\n- [ ] automatic feature transformations / normalization\n- [ ] automatic feature engineering\n- [ ] automatic feature selection\n- [ ] automatic model selection\n- [ ] automatic model optimization (hyper-parameter optimization)\n- [ ] automatic model ensembling\n- [ ] pre-defined parameter list of the most popular ML models in scikit-learn\n- [ ] distributed computing (integrate Dask)\n- [ ] pipeline generation\n\n## License\n\n[MIT](LICENSE)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ffarrajota%2Fautoml_toolbox","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ffarrajota%2Fautoml_toolbox","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ffarrajota%2Fautoml_toolbox/lists"}