databricks-bundles
Python support for Declarative Automation Bundles
Decision gist · record as of 2026-08-14
Yes, if you are already using Databricks and need to define jobs and pipelines programmatically. The package is actively maintained, has low install friction, and fills a clear gap for Python-based infrastructure-as-code on Databricks. The unclear license status warrants verification before adoption in proprietary projects, and you must have the Databricks CLI 1.12.1+ installed and authenticated first.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Databricks CLI version 1.12.1 or above installed and workspace authentication configured via `databricks configure`
- Low install friction with a pure Python wheel.
- Active maintenance with a release 2 days old.
License · maintenance · safety
(unclear) — License treatment is unclear; the package itself has no declared SPDX license, though use is subject to the Databricks License and Privacy Notice per the documentation.
last release 2026-08-12 (2 days)
0 known vulnerabilities (OSV.dev, 2026-08-14) · 985,302 downloads/mo, #4,574 on PyPI
Alternatives
Verify before relying
# Install Databricks CLI 1.12.1 or above, then:
pip install databricks-bundles
# Authenticate and initialize a bundle:
databricks configure
databricks bundle init pydabs
# Define jobs/pipelines in Python within the bundle project- Whether the package is published under an open-source license or proprietary terms
- Compatibility with Databricks CLI versions beyond 1.12.1
- Support for Python versions older than 3.10
What it is and what it does
databricks-bundles is a Python extension for Databricks Declarative Automation Bundles that lets you define, generate, and modify Databricks jobs and pipelines using Python code instead of (or alongside) YAML. It integrates with the Databricks CLI to manage bundle deployment and supports dynamic job creation from metadata, making infrastructure-as-code workflows more flexible and programmatic.
The package requires Python 3.10 or later and the Databricks CLI 1.12.1 or above as an external prerequisite. It has no runtime dependencies beyond the CLI itself, making it lightweight to install. Use it when you need to automate job definitions, apply conditional logic to pipeline configurations, or manage Databricks workflows as code within a Python-first development workflow.
Use it for
- Define Databricks jobs and pipelines as Python code instead of YAML for programmatic control and version management
- Generate jobs and pipelines dynamically from metadata or configuration without manual YAML editing
- Coexist Python-defined jobs alongside existing YAML-defined jobs in the same bundle
- Modify job and pipeline configurations during bundle deployment based on environment or runtime conditions
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you are already using Databricks and need to define jobs and pipelines programmatically.
The package is actively maintained, has low install friction, and fills a clear gap for Python-based infrastructure-as-code on Databricks. The unclear license status warrants verification before adoption in proprietary projects, and you must have the Databricks CLI 1.12.1+ installed and authenticated first.
Install
databricks-bundles on PyPI
Before you install
Low install friction with a pure Python wheel. Active maintenance with a release 2 days old. Requires Databricks CLI version 1.12.1 or above as a prerequisite external tool.
Requires Databricks CLI version 1.12.1 or above installed and workspace authentication configured via `databricks configure`
License in practice
License treatment is unclear; the package itself has no declared SPDX license, though use is subject to the Databricks License and Privacy Notice per the documentation.
Quickstart
# Install Databricks CLI 1.12.1 or above, then:
pip install databricks-bundles
# Authenticate and initialize a bundle:
databricks configure
databricks bundle init pydabs
# Define jobs/pipelines in Python within the bundle projectVerify before relying
- Whether the package is published under an open-source license or proprietary terms
- Compatibility with Databricks CLI versions beyond 1.12.1
- Support for Python versions older than 3.10
Package facts
| License | Not declared unclear |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | None |
| Maintenance | Actively maintained 2 days since the last release |
| First released | |
| Downloads | 985,302 / month, #4,574 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
Evidence: databricks_bundles-1.12.1-py3-none-any.whl
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See also dbx · dlt-meta · brickflows · databricks-connect · dagster-databricks · pulumi-databricks · databricks-feature-engineering · databricks-sdk · apache-airflow-providers-databricks · dspy-ai