{"categories":[{"label":"Software Development","url":"https://skillfed.io/packages/category/software-development/4"}],"enrichment":{"capability":"Provides type hints, API specs, and IDE autocomplete support for developing Databricks Delta Live Tables pipelines locally without functional runtime implementation.","skillfed_tags":["databricks","type-stubs","local-development"],"use_cases":["Enable IDE autocomplete and type hints when writing DLT pipeline code in your local development environment before deployment.","Perform static type checking on DLT pipeline code using tools like mypy or pyright without needing a live Databricks connection.","Reference DLT Python API docstrings and method signatures locally during development to reduce context switching to external documentation.","Catch API usage errors early in development by leveraging Python type annotations before pushing code to Databricks.","Support team development workflows where developers write and review pipeline code locally with full IDE support."],"what_it_does":"databricks-dlt is a Python stub library that provides type hints, API specifications, and docstring references for the Databricks Delta Live Tables (DLT) Python API. It is designed to improve the local development experience by enabling IDE autocomplete and type checking in your code editor when writing DLT pipeline code, without providing any functional runtime implementation.\n\nThe package depends on databricks-connect and is intended as a development aid only. It does not allow you to create or run DLT pipelines locally; actual pipeline execution requires deployment to Databricks Services. The library's sole purpose is to make writing pipeline code in your local environment more productive by offering the same API surface and type information you would see when running on Databricks.","worth_installing":"Yes, if you are actively developing Databricks DLT pipelines and want IDE autocomplete and type checking in your local environment. The low install friction and lack of known vulnerabilities make it a safe addition to your development setup. However, maintenance is dormant, so type hints may lag behind the current DLT API. The proprietary license restricts use to Databricks Services; verify compliance with your organization's licensing terms before adopting."},"id":"databricks-dlt","links":{"html":"https://skillfed.io/packages/databricks-dlt","md":"https://skillfed.io/packages/databricks-dlt.md","pypi":"https://pypi.org/project/databricks-dlt/"},"maintenance":{"status":"dormant"},"meta":{"latest_release":"2024-11-27","license_spdx":null,"license_treatment":"unclear","name":"databricks-dlt","python_support":"supports_current","summary":"Databricks DLT Library"},"popularity":{"monthly_downloads":2097339,"position":3298,"tier":"top_5000"},"security":{"n_vulnerabilities":0},"version":"0.3.0"}