The Python stub for Delta Live Tables (DLT), which helps with local development by providing API specs, docstring references, and type hints, is available as the databricks-dlt package on PyPI. However, this library only provides interfaces to the DLT Python API and does not include functional implementations to create or run DLT pipelines locally.โ
Regarding updates reflecting new methods in Delta Live Tables, the available information suggests the library is updated with new releases but does not specify exact release dates for when new methods are added to the Python stub. Since Delta Live Tables is a versionless product with automatic runtime upgrades managed by Databricks, the Python stub updates likely follow these runtime enhancements and releases. The most recent documented updates to DLT (e.g., April 2025 and earlier in 2024) typically align with runtime and feature releases on Databricks, but no specific timeline for the Python stub method update was found in the latest public resources.โ
If you need the latest Python stub features, you should keep the databricks-dlt package updated via PyPI, and monitor Databricks release notes or official documentation for announcements regarding Python stub updates corresponding to new DLT capabilities.
In summary:
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The Python stub is maintained as the databricks-dlt package on PyPI.
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Updates to the stub reflect new DLT runtime and feature releases but do not have a publicly documented fixed schedule.
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Monitoring Databricks release notes and updating the package regularly is the recommended approach to getting new methods as they are released.โ
