{"library":"dlt-meta","type":"library","category":null,"description":"DLT-META is a metadata-driven framework for Databricks Lakeflow Declarative Pipelines, designed to automate the creation and management of bronze and silver data pipelines. It leverages metadata defined in JSON or YAML files to dynamically generate pipeline code, streamlining data engineering workflows. The library is currently at version 0.0.10 and has active, though irregular, release cycles with consistent updates.","language":"python","status":"active","version":"0.0.10","tags":["databricks","delta live tables","dlt","metadata-driven","etl","data pipelines","automation","lakeflow"],"last_verified":"Tue May 26","install":[{"cmd":"pip install dlt-meta","imports":["from dlt_meta import DataflowPipeline"]}],"homepage":null,"github":null,"docs":null,"changelog":null,"pypi":"https://pypi.org/project/dlt-meta/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":100,"avg_install_s":4.9,"avg_import_s":null,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/dlt-meta/compatibility"}}