{"data":{"slug":"blobcity-autoai","name":"autoai","tagline":"Python based framework for Automatic AI for Regression and Classification over numerical data. Performs model search, hyper-parameter tuning, and high-quality Jupyter Notebook code generation.","github_url":"https://github.com/blobcity/autoai","owner":"blobcity","repo":"autoai","owner_avatar_url":"https://avatars.githubusercontent.com/u/3654980?v=4","primary_language":"Python","stars":186,"forks":46,"topics":["ai","autoai","automl","codegen","deep-learning","machine-learning","ml","python"],"archived":false,"github_pushed_at":"2025-03-25T01:40:10+00:00","maintenance_label":"Dormant","url":"https://www.graphcanon.com/tools/blobcity-autoai","markdown_url":"https://www.graphcanon.com/tools/blobcity-autoai.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/blobcity-autoai","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=blobcity-autoai","description":"Python based framework for Automatic AI for Regression and Classification over numerical data. Performs model search, hyper-parameter tuning, and high-quality Jupyter Notebook code generation.","homepage_url":null,"license":"Apache-2.0","open_issues":9,"watchers":5,"ai_summary":null,"readme_excerpt":"# Getting Started\n``` shell\npip install blobcity\n```\n\n``` Python\nimport blobcity as bc\nmodel = bc.train(file=\"data.csv\", target=\"Y_column\")\nmodel.spill(\"my_code.py\")\n```\n`Y_column` is the name of the target column. The column must be present within the data provided. \n\nAutomatic inference of Regression / Classification is supported by the framework.\n\nData input formats supported include:\n1. Local CSV / XLSX file\n2. URL to a CSV / XLSX file\n3. Pandas DataFrame \n\n``` Python\nmodel = bc.train(file=\"data.csv\", target=\"Y_column\") #local file\n```\n\n``` Python\nmodel = bc.train(file=\"https://example.com/data.csv\", target=\"Y_column\") #url\n```\n\n``` Python\nmodel = bc.train(df=my_df, target=\"Y_column\") #DataFrame\n```","github_created_at":"2021-08-31T12:15:41+00:00","created_at":"2026-07-11T23:32:41.236326+00:00","updated_at":"2026-07-11T23:32:47.269548+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"},{"slug":"inference-serving","name":"Inference & Serving","url":"https://www.graphcanon.com/categories/inference-serving","markdown_url":"https://www.graphcanon.com/categories/inference-serving.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/inference-serving"}],"tags":[{"slug":"automl","name":"automl"},{"slug":"ml","name":"ml"},{"slug":"deep-learning","name":"deep-learning"},{"slug":"ai","name":"ai"},{"slug":"machine-learning","name":"machine-learning"},{"slug":"codegen","name":"codegen"},{"slug":"python","name":"python"},{"slug":"autoai","name":"autoai"}],"trust":{"provenance":{"is_fork":false,"github_id":401691119,"owner_type":"Organization","methodology":"github_public_v1","parent_repo":null,"near_duplicate_slugs":[]},"computed_at":"2026-07-11T23:32:43.838Z","maintenance":{"label":"Dormant","score":18,"methodology":"github_public_v1","releases_90d":0,"days_since_push":473,"last_release_at":"2021-11-17T19:44:37Z"},"security_summary":{"status":"findings","scanner":"osv@v1","low_count":12,"high_count":0,"last_scan_at":"2026-07-11T23:32:44.293Z","medium_count":0,"scan_profile":"deps","critical_count":0}},"capability_facts":{"scan":{"source":"repo_scan","observed_at":"2026-07-11T23:32:43.583Z"},"languages":{"value":["python"],"source":"github.language+pyproject.toml","observed_at":"2026-07-11T23:32:43.583Z"},"license_spdx":{"value":"Apache-2.0","source":"github.license","observed_at":"2026-07-11T23:32:43.583Z"}}}}