databricks-dlt
Databricks DLT Library
Decision gist · record as of 2026-08-14
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.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.9 or later.
- This package provides only type stubs and API specs—it cannot run or execute DLT pipelines locally; actual pipeline execution requires Databricks Services.
- Low install friction with a single runtime dependency on databricks-connect.
License · maintenance · safety
Databricks Proprietary License (unclear) — Licensed under Databricks Proprietary License (not SPDX-standardized). Use is restricted to connection with Databricks Services under their Master Cloud Services Agreement; redistribution is permitted only under the same terms and with proper attribution.
last release 2024-11-27 (625 days)
0 known vulnerabilities (OSV.dev, 2026-08-14) · 2,097,339 downloads/mo, #3,298 on PyPI
Alternatives
Verify before relying
pip install databricks-dlt
import dlt
# Access DLT module for type hints and autocomplete in your local IDE- Whether dormant maintenance status reflects intentional stability or active abandonment.
- Compatibility with recent versions of databricks-connect and whether breaking changes have occurred.
- Whether type hints cover the full current DLT Python API or only a subset as of the last release.
What it is and 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.
The 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.
Use it for
- 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.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
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.
Install
databricks-dlt on PyPI
Before you install
Low install friction with a single runtime dependency on databricks-connect. Maintenance status is dormant; the package has not been updated since its latest release on 2024-11-27.
Requires Python 3.9 or later. This package provides only type stubs and API specs—it cannot run or execute DLT pipelines locally; actual pipeline execution requires Databricks Services.
License in practice
Licensed under Databricks Proprietary License (not SPDX-standardized). Use is restricted to connection with Databricks Services under their Master Cloud Services Agreement; redistribution is permitted only under the same terms and with proper attribution.
Quickstart
pip install databricks-dlt
import dlt
# Access DLT module for type hints and autocomplete in your local IDEVerify before relying
- Whether dormant maintenance status reflects intentional stability or active abandonment.
- Compatibility with recent versions of databricks-connect and whether breaking changes have occurred.
- Whether type hints cover the full current DLT Python API or only a subset as of the last release.
Package facts
| License | Databricks Proprietary License unclear |
| Python support | Supports the current Python release >=3.9 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 1 packagedatabricks-connect |
| Maintenance | Dormant 625 days since the last release |
| First released | |
| Downloads | 2,097,339 / month, #3,298 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
Evidence: databricks_dlt-0.3.0-py3-none-any.whl
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See also dlt-meta · databricks-feature-engineering · dbt-databricks · dlt · dbldatagen · dlthub · dbl-discoverx · definite-sdk · databricks-zerobus-ingest-sdk · databricks-agents