{"library":"stepfunctions","type":"library","category":null,"description":"The AWS Step Functions Data Science SDK is an open-source Python library that allows data scientists to easily create, visualize, and execute machine learning (ML) workflows using Amazon SageMaker and AWS Step Functions. It enables the orchestration of AWS infrastructure at scale directly from Python code or Jupyter notebooks, abstracting away the need to provision and integrate AWS services separately. The library is currently at version 2.3.0 and maintains an active development and release cadence, with several updates per year.","language":"python","status":"active","version":"2.3.0","tags":["aws","step-functions","sagemaker","workflow","data-science","mlops","orchestration","serverless"],"install":[{"cmd":"pip install stepfunctions","imports":["from stepfunctions.workflow import Workflow","from stepfunctions import steps","from stepfunctions.inputs import ExecutionInput","from stepfunctions.steps.sagemaker import TrainingStep"]},{"cmd":"pip install stepfunctions[sagemaker]","imports":[]}],"homepage":null,"github":"https://github.com/aws/aws-step-functions-data-science-sdk-python","docs":null,"changelog":null,"pypi":"https://pypi.org/project/stepfunctions/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":50,"avg_install_s":0.1,"avg_import_s":null,"wheel_type":"sdist"},"url":"https://checklist.day/v1/registry/stepfunctions/compatibility"},"provenance":{"verified_status":"install_fail","verified_at":"Sun Jun 28","last_verified":"Sun Jun 28","next_check":"Thu Jul 09","install_tag":null}}