{"data":{"slug":"microsoft-archai","name":"archai","tagline":"Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research.","github_url":"https://github.com/microsoft/archai","owner":"microsoft","repo":"archai","owner_avatar_url":"https://avatars.githubusercontent.com/u/6154722?v=4","primary_language":"Python","stars":485,"forks":93,"topics":["automated-machine-learning","automl","darts","deep-learning","hyperparameter-optimization","machine-learning","model-compression","nas","neural-architecture-search","petridish","python","pytorch"],"archived":false,"github_pushed_at":"2025-11-24T03:14:04+00:00","maintenance_label":"Slowing","url":"https://www.graphcanon.com/tools/microsoft-archai","markdown_url":"https://www.graphcanon.com/tools/microsoft-archai.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/microsoft-archai","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=microsoft-archai","description":"Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research.","homepage_url":"https://microsoft.github.io/archai","license":"MIT","open_issues":4,"watchers":25,"ai_summary":"Archai is a tool designed to streamline the process of Neural Architecture Search (NAS) by providing fast, reproducible, and modular capabilities for researchers in automated machine learning and deep learning domains.","readme_excerpt":"## Installation\n\nArchai can be installed through various methods, however, it is recommended to utilize a virtual environment such as `conda` or `pyenv` for optimal results.\n\nTo install Archai via PyPI, the following command can be executed:\n\n```bash\npip install archai\n```\n\n**Archai requires Python 3.8+ and PyTorch 1.7.0+ to function properly.**\n\nFor further information, please consult the [installation guide](https://microsoft.github.io/archai/getting_started/installation.html).\n\n---\n\n### License\n\nThis project is released under the MIT License. Please review the [file](https://github.com/microsoft/archai/blob/main/LICENSE) for more details.","github_created_at":"2020-03-05T00:54:29+00:00","created_at":"2026-07-11T23:32:34.285335+00:00","updated_at":"2026-07-12T00:53:08.845953+00:00","categories":[{"slug":"model-training","name":"Model Training","url":"https://www.graphcanon.com/categories/model-training","markdown_url":"https://www.graphcanon.com/categories/model-training.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/model-training"}],"tags":[{"slug":"automated-machine-learning","name":"automated-machine-learning"},{"slug":"automl","name":"automl"},{"slug":"darts","name":"darts"},{"slug":"deep-learning","name":"deep-learning"},{"slug":"hyperparameter-optimization","name":"hyperparameter-optimization"},{"slug":"machine-learning","name":"machine-learning"},{"slug":"model-compression","name":"model-compression"},{"slug":"nas","name":"nas"}],"trust":{"provenance":{"is_fork":false,"github_id":245036506,"owner_type":"Organization","methodology":"github_public_v1","parent_repo":null,"near_duplicate_slugs":[]},"computed_at":"2026-07-11T23:32:38.353Z","maintenance":{"label":"Slowing","score":36,"methodology":"github_public_v1","releases_90d":0,"days_since_push":229,"last_release_at":"2023-09-15T18:08:17Z"},"security_summary":{"status":"no_lockfile","scanner":null,"low_count":0,"high_count":0,"last_scan_at":"2026-07-11T23:32:38.919Z","medium_count":0,"scan_profile":"none","critical_count":0}},"capability_facts":{"scan":{"source":"repo_scan","observed_at":"2026-07-12T00:53:08.772Z"},"languages":{"value":["python"],"source":"github.language+pyproject.toml","observed_at":"2026-07-12T00:53:08.772Z"},"license_spdx":{"value":"MIT","source":"github.license","observed_at":"2026-07-12T00:53:08.772Z"}}}}