{"id":37131686,"url":"https://github.com/epistimio/orion","last_synced_at":"2026-01-14T15:16:13.432Z","repository":{"id":37484250,"uuid":"102697867","full_name":"Epistimio/orion","owner":"Epistimio","description":"Asynchronous Distributed Hyperparameter Optimization.","archived":false,"fork":false,"pushed_at":"2025-11-26T15:54:11.000Z","size":53537,"stargazers_count":300,"open_issues_count":224,"forks_count":51,"subscribers_count":13,"default_branch":"develop","last_synced_at":"2026-01-12T02:24:46.378Z","etag":null,"topics":["auto-ml","deep-learning","deep-neural-networks","hyperparameter-optimization","machine-learning","research"],"latest_commit_sha":null,"homepage":"https://orion.readthedocs.io","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"other","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/Epistimio.png","metadata":{"files":{"readme":"README.rst","changelog":null,"contributing":"CONTRIBUTING.md","funding":null,"license":"LICENSE","code_of_conduct":"CODE_OF_CONDUCT.md","threat_model":null,"audit":null,"citation":"CITATION.bib","codeowners":null,"security":null,"support":null,"governance":null,"roadmap":"ROADMAP.md","authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null,"notice":null,"maintainers":null,"copyright":null,"agents":null,"dco":null,"cla":null}},"created_at":"2017-09-07T06:05:21.000Z","updated_at":"2025-11-28T22:28:02.000Z","dependencies_parsed_at":"2024-01-13T10:40:47.605Z","dependency_job_id":"3c27370a-e90e-4f3b-aae1-46d8b267bbfb","html_url":"https://github.com/Epistimio/orion","commit_stats":{"total_commits":3406,"total_committers":43,"mean_commits":79.20930232558139,"dds":0.6194950088079859,"last_synced_commit":"1b20511cc0394a42573922807dc08096922031e9"},"previous_names":[],"tags_count":29,"template":false,"template_full_name":null,"purl":"pkg:github/Epistimio/orion","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Epistimio%2Forion","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Epistimio%2Forion/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Epistimio%2Forion/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Epistimio%2Forion/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Epistimio","download_url":"https://codeload.github.com/Epistimio/orion/tar.gz/refs/heads/develop","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Epistimio%2Forion/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":28424102,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-01-14T13:30:50.153Z","status":"ssl_error","status_checked_at":"2026-01-14T13:29:08.907Z","response_time":107,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.5:443 state=error: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"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":["auto-ml","deep-learning","deep-neural-networks","hyperparameter-optimization","machine-learning","research"],"created_at":"2026-01-14T15:16:12.676Z","updated_at":"2026-01-14T15:16:13.418Z","avatar_url":"https://github.com/Epistimio.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"*****\nOríon\n*****\n\n|pypi| |py_versions| |license| |doi|\n|rtfd| |codecov| |github-actions|\n\n.. |pypi| image:: https://img.shields.io/pypi/v/orion.svg\n    :target: https://pypi.python.org/pypi/orion\n    :alt: Current PyPi Version\n\n.. |py_versions| image:: https://img.shields.io/pypi/pyversions/orion.svg\n    :target: https://pypi.python.org/pypi/orion\n    :alt: Supported Python Versions\n\n.. |license| image:: https://img.shields.io/badge/License-BSD%203--Clause-blue.svg\n    :target: https://opensource.org/licenses/BSD-3-Clause\n    :alt: BSD 3-clause license\n\n.. |doi| image:: https://zenodo.org/badge/102697867.svg\n   :target: https://zenodo.org/badge/latestdoi/102697867\n   :alt: DOI\n\n.. |rtfd| image:: https://readthedocs.org/projects/orion/badge/?version=stable\n    :target: https://orion.readthedocs.io/en/stable/?badge=stable\n    :alt: Documentation Status\n\n.. |codecov| image:: https://codecov.io/gh/Epistimio/orion/branch/master/graph/badge.svg\n    :target: https://codecov.io/gh/Epistimio/orion\n    :alt: Codecov Report\n\n.. |github-actions| image:: https://github.com/Epistimio/orion/workflows/build/badge.svg?branch=master\u0026event=pull_request\n    :target: https://github.com/Epistimio/orion/actions?query=workflow:build+branch:master+event:schedule\n    :alt: Github actions tests\n\n.. image:: _static/logos/orion_logo_grid_150ppi.png\n  :width: 400\n  :alt: Oríon\n\nOríon is an asynchronous framework for black-box function optimization.\n\nIts purpose is to serve as a meta-optimizer for machine learning models\nand training, as well as a flexible experimentation\nplatform for large scale asynchronous optimization procedures.\n\nCore design value is the minimum disruption of a researcher's workflow.\nIt allows fast and efficient tuning, providing minimum simple non-intrusive\n(not even necessary!) helper *client* interface for a user's script.\n\nSo if ``./run.py --mini-batch=50`` looks like what you execute normally,\nnow what you have to do looks like this:\n\n``orion -n experiment_name ./run.py --mini-batch~'randint(32, 256)'``\n\nCheck out our `getting started guide`_ or `this presentation\n\u003chttps://bluejeans.com/playback/s/4WUezzFCmb9StHzYgB0RjVbTUCKnRcptBvzBMP7t2UpLyKuAq7Emieo911BqEMnI\u003e`_\nfor an overview, or our `scikit-learn example`_ for a more hands-on experience. Finally we\nencourage you to browse our `documentation`_.\n\n.. _getting started guide: https://orion.readthedocs.io/en/stable/install/gettingstarted.html\n.. _documentation: https://orion.readthedocs.io/\n.. _scikit-learn example: https://orion.readthedocs.io/en/stable/tutorials/scikit-learn.html\n\nWhy Oríon?\n==========\n\n*Effortless to adopt, deeply customizable*\n\n- `Adopt it \u003chttps://orion.readthedocs.io/en/stable/user/script.html\u003e`_ with a single line of code\n- `Natively asynchronous \u003chttps://orion.readthedocs.io/en/stable/code/core.html\u003e`_, thus resilient and easy to parallelize\n- Offers the latest established hyperparameter `algorithms \u003chttps://orion.readthedocs.io/en/stable/user/algorithms.html\u003e`_\n- Elegant and rich `search-space definitions \u003chttps://orion.readthedocs.io/en/stable/user/searchspace.html\u003e`_\n- Comprehensive `configuration \u003chttps://orion.readthedocs.io/en/stable/user/config.html\u003e`_ system with smart defaults\n- Transparent persistence in local or remote `database \u003chttps://orion.readthedocs.io/en/stable/install/database.html\u003e`_\n- `Integrate seamlessly \u003chttps://orion.readthedocs.io/en/stable/plugins/base.html\u003e`_ your own\n  hyper-optimization algorithms\n- `Language \u003chttps://orion.readthedocs.io/en/stable/user/script.html#language-compatibility\u003e`_\n  and `configuration file \u003chttps://orion.readthedocs.io/en/stable/user/searchspace.html#configuration-file\u003e`_ agnostic\n\nInstallation\n============\n\nInstall Oríon by running ``$ pip install orion``. For more information consult the `installation\nguide`_.\n\n.. _installation guide: https://orion.readthedocs.io/en/stable/install/core.html\n\nPresentations\n=============\n\n- 2021-07-14 - SciPy 2021 (`Video \u003chttps://youtu.be/H1jQBQIbQmA\u003e`__) (`Slides \u003chttps://docs.google.com/presentation/d/1Aekt1hKtiT1y7pyvWeRRoVND4cDUYFj53xAzk8Zb8z0/edit?usp=sharing\u003e`__)\n- 2021-05-19 - Dask Summit 2021 (`Video \u003chttps://youtu.be/W5oWdRiSSr8\u003e`__) (`Slides \u003chttps://docs.google.com/presentation/d/1MBy0gjWNV-8GjtEXVLCThN8JddK7znHSg7puycwkBZ4/edit?usp=sharing\u003e`__)\n- 2021-03-16 - AICamp\n  (`Video\n  \u003chttps://www.youtube.com/watch?v=QQ69vxF3LTI\u003e`__)\n  (`Slides\n  \u003chttps://docs.google.com/presentation/d/1Tq3KrWcp66wdlZJtCFaxfq1m5ydyhcPiDCGCOuh_REg/edit?usp=sharing\u003e`__)\n- 2019-11-28 - Tech-talk @ Mila\n  (`Video\n  \u003chttps:/bluejeans.com/playback/s/4WUezzFCmb9StHzYgB0RjVbTUCKnRcptBvzBMP7t2UpLyKuAq7Emieo911BqEMnI\u003e`__)\n  (`Slides\n  \u003chttps://docs.google.com/presentation/d/18g7Q4xRuhMtcVbwmFwDfH7v9gKS252-laOi9HrEQ7a4/edit?usp=sharing\u003e`__)\n\nContribute or Ask\n=================\n\nDo you have a question or issues?\nDo you want to report a bug or suggest a feature? Name it!\nPlease contact us by opening an issue in our repository below and checkout our `contribution guidelines \u003chttps://github.com/Epistimio/orion/blob/develop/CONTRIBUTING.md\u003e`_:\n\n- Issue Tracker: `\u003chttps://github.com/epistimio/orion/issues\u003e`_\n- Source Code: `\u003chttps://github.com/epistimio/orion\u003e`_\n\nStart by starring and forking our Github repo!\n\nThanks for the support!\n\nCitation\n========\n\nIf you use Oríon for published work, please cite our work using the following bibtex entry.\n\n.. code-block:: bibtex\n\n   @software{xavier_bouthillier_2022_0_2_6,\n     author       = {Xavier Bouthillier and\n                     Christos Tsirigotis and\n                     François Corneau-Tremblay and\n                     Thomas Schweizer and\n                     Lin Dong and\n                     Pierre Delaunay and\n                     Fabrice Normandin and\n                     Mirko Bronzi and\n                     Dendi Suhubdy and\n                     Reyhane Askari and\n                     Michael Noukhovitch and\n                     Chao Xue and\n                     Satya Ortiz-Gagné and\n                     Olivier Breuleux and\n                     Arnaud Bergeron and\n                     Olexa Bilaniuk and\n                     Steven Bocco and\n                     Hadrien Bertrand and\n                     Guillaume Alain and\n                     Dmitriy Serdyuk and\n                     Peter Henderson and\n                     Pascal Lamblin and\n                     Christopher Beckham},\n     title        = {{Epistimio/orion: Asynchronous Distributed Hyperparameter Optimization}},\n     month        = august,\n     year         = 2022,\n     publisher    = {Zenodo},\n     version      = {v0.2.6,\n     doi          = {10.5281/zenodo.3478592},\n     url          = {https://doi.org/10.5281/zenodo.3478592}\n   }\n\nRoadmap\n=======\n\nSee `ROADMAP.md \u003chttps://github.com/Epistimio/orion/blob/master/ROADMAP.md\u003e`_.\n\nLicense\n=======\n\nThe project is licensed under the `BSD license \u003chttps://github.com/Epistimio/orion/blob/master/LICENSE\u003e`_.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fepistimio%2Forion","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fepistimio%2Forion","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fepistimio%2Forion/lists"}