{"data":{"slug":"agnostiqhq-covalent","name":"covalent","tagline":"Pythonic tool for orchestrating workflows in diverse compute environments","github_url":"https://github.com/AgnostiqHQ/covalent","owner":"AgnostiqHQ","repo":"covalent","owner_avatar_url":"https://avatars.githubusercontent.com/u/83542680?v=4","primary_language":"Python","stars":868,"forks":113,"topics":["covalent","data-pipeline","data-science","deep-learning","hacktoberfest","hpc","hpc-applications","machine-learning","machinelearning","machinelearning-python","orchestration","parallelization","pipelines","python","quantum","quantum-computing","quantum-machine-learning","workflow","workflow-automation","workflow-management"],"archived":false,"github_pushed_at":"2026-08-31T17:12:26+00:00","maintenance_label":"Active","stars_delta_30d":1,"url":"https://www.graphcanon.com/tools/agnostiqhq-covalent","markdown_url":"https://www.graphcanon.com/tools/agnostiqhq-covalent.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/agnostiqhq-covalent","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=agnostiqhq-covalent","description":"Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute environments.","homepage_url":"https://www.covalent.xyz","license":"Apache-2.0","open_issues":103,"watchers":21,"ai_summary":"AgnostiqHQ/covalent offers functionality to orchestrate machine-learning, high-performance computing, and quantum-computing workflows across heterogeneous environments.","readme_excerpt":"### Installation\n\nCovalent is developed using Python on Linux and macOS. The easiest way to install Covalent is by using the PyPI package manager.\n\n```\npip install covalent --upgrade\n```\n\nFor other methods of installation, please [check the docs.](https://docs.covalent.xyz/docs/get-started/install/)\n\n**Deployments**\n\n<div>\nCovalent offers flexible deployment options, from Docker image/AMIs for self-hosting to pip package for local installations, accommodating various use cases\n</div>\n\n</br>\n\n<div align=\"center\">\n\n<a href=\"https://docs.covalent.xyz/docs/user-documentation/server-deployment\"><img src=\"./doc/source/_static/local-laptop.svg\" alt=\"divider\"></a>\n<a href=\"https://docs.covalent.xyz/docs/user-documentation/sd-docker\"><img src=\"./doc/source/_static/onprem_hosted.svg\" alt=\"divider\"></a>\n<a href=\"https://docs.covalent.xyz/docs/user-documentation/sd-systemd\"><img src=\"./doc/source/_static/cloud_hosted.svg\" alt=\"divider\"></a>\n\n</div>\n\n</br>\n</div>\n\n---\n\n### License\n\nCovalent is licensed under the Apache 2.0 License. See the [LICENSE](https://github.com/AgnostiqHQ/covalent/blob/master/LICENSE) file or contact the [support team](mailto:support@aqnostic.ai) for more details.\n\nFor a detailed history of changes and new features, see the [Changelog](https://github.com/AgnostiqHQ/covalent/blob/master/CHANGELOG.md).","github_created_at":"2021-11-03T14:02:07+00:00","created_at":"2026-07-15T10:53:29.6159+00:00","updated_at":"2026-09-20T04:47:18.831032+00:00","categories":[{"slug":"developer-tools","name":"Developer Tools","url":"https://www.graphcanon.com/categories/developer-tools","markdown_url":"https://www.graphcanon.com/categories/developer-tools.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/developer-tools"}],"tags":[{"slug":"covalent","name":"covalent"},{"slug":"data-pipeline","name":"data-pipeline"},{"slug":"machine-learning","name":"machine-learning"},{"slug":"quantum-computing","name":"quantum-computing"}],"trust":{"provenance":{"is_fork":false,"github_id":424247027,"owner_type":"Organization","methodology":"github_public_v1","parent_repo":null,"near_duplicate_slugs":[]},"computed_at":"2026-09-20T04:47:16.113Z","maintenance":{"label":"Active","score":82,"methodology":"github_public_v1","releases_90d":0,"days_since_push":19,"last_release_at":"2026-04-23T15:40:50Z","stars_delta_30d":1,"open_issues_delta_30d":3},"security_summary":{"status":"no_lockfile","scanner":null,"low_count":0,"high_count":0,"last_scan_at":"2026-07-15T10:53:30.874Z","medium_count":0,"scan_profile":"none","critical_count":0}},"capability_facts":{"scan":{"source":"repo_scan","observed_at":"2026-09-20T04:47:17.165Z"},"deploy":{"source":"dockerfile:Dockerfile","self_host":true,"observed_at":"2026-09-20T04:47:17.165Z","managed_saas":false},"languages":{"value":["python"],"source":"github.language+pyproject.toml","observed_at":"2026-09-20T04:47:17.165Z"},"has_docker":{"value":true,"source":"dockerfile:Dockerfile","observed_at":"2026-09-20T04:47:17.165Z"},"license_spdx":{"value":"Apache-2.0","source":"github.license","observed_at":"2026-09-20T04:47:17.165Z"}},"decision_facts":{"hosting":null,"pricing":null,"requirements":null,"constraints":null,"when_to_use":["When developing machine-learning pipelines that must run in various heterogeneous compute environments.","If you require automation of high-performance computing tasks with a focus on Pythonic syntax.","For orchestrating workflows involving quantum computing applications within your software."],"when_not_to_use":["In scenarios where the primary programming language is not Python, as Covalent heavily relies on its features and ecosystem for workflow development.","If your workflow orchestration needs are limited to a single compute environment without any requirement for cross-platform execution."],"source":"enrich:decision_facts","observed_at":"2026-07-17T09:22:23.542Z"},"constraint_facets":null,"decision_summary":[{"label":"Adopt for","value":"Covalent is designed for orchestrating workflows across multiple computing environments including machine learning, high-performance computing, and quantum computing using Python."}]}}