{"library":"sagemaker-datawrangler","type":"library","category":null,"description":"Amazon SageMaker Data Wrangler is a feature within Amazon SageMaker Studio Classic (and now integrated into SageMaker Canvas) that provides a visual interface for end-to-end data preparation for machine learning. It allows users to import, prepare, transform, featurize, and analyze data with little to no coding, offering over 300 built-in transformations. Users build 'data flows' graphically, which can then be exported as Python code, SageMaker Pipelines, or Data Wrangler jobs for automated ML workflows. The current PyPI version is 0.4.3, and it typically releases new features and updates aligned with SageMaker Studio and Canvas releases.","language":"python","status":"active","version":"0.4.3","tags":["aws","sagemaker","data-preparation","etl","machine-learning","cloud"],"install":[{"cmd":"pip install sagemaker-datawrangler","imports":["from sagemaker.processing import Processor\nfrom sagemaker.processing import ScriptProcessor\n# Or, if using the high-level Data Wrangler specific processor (depends on export method)\n# from sagemaker.analytics import DataWranglerProcessor"]}],"homepage":null,"github":null,"docs":null,"changelog":null,"pypi":"https://pypi.org/project/sagemaker-datawrangler/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":50,"avg_install_s":29.9,"avg_import_s":null,"wheel_type":"sdist"},"url":"https://checklist.day/v1/registry/sagemaker-datawrangler/compatibility"},"provenance":{"verified_status":"install_fail","verified_at":"Sun Jun 28","last_verified":"Sun Jun 28","next_check":"Thu Jul 09","install_tag":null}}