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dbl-sat-sdk

Databricks Security Analysis Tool

dbl-sat-sdk v0.1.38 83.3K downloads/30d#14,080 on PyPI
License unclear AGING released

What it is and what it does

dbl-sat-sdk is a Python SDK designed to extract profile and metadata information from Databricks workspace resources. It is built specifically to support the SecurityAnalysisTool notebooks and integrates with Databricks' security analysis workflows. The package depends on requests for HTTP communication and msal for authentication, making it a lightweight wrapper around Databricks profiling APIs.

The package is classified as proprietary and has not been updated in over a year, suggesting it is either stable and complete or no longer actively developed. It supports current Python versions (3.8+) and installs with minimal friction as a pure-Python wheel. Before adopting it, clarify the license terms and confirm that it aligns with your security analysis needs within Databricks.

Use it for:

  • Audit workspace resources and extract their configuration profiles for security compliance reporting.
  • Integrate workspace profiling into automated security analysis pipelines using the SecurityAnalysisTool notebooks.
  • Gather metadata on compute clusters, jobs, and other workspace objects for inventory or risk assessment.
  • Support security teams in identifying resource misconfigurations or policy violations across Databricks workspaces.

Worth the install?

AI-flagged interpretation of the facts on this page — verify before relying

Retrieves profile and metadata information about Databricks workspace resources through a Python SDK, primarily for use by security analysis tooling.

Yes, if you are using Databricks SecurityAnalysisTool notebooks and need programmatic access to workspace resource profiles. The low install friction and absence of known vulnerabilities make it safe to add. However, the aging maintenance status and unclear license terms warrant verification before production use; confirm with Databricks that the package is appropriate for your use case and licensing model.

Install

dbl-sat-sdk on PyPI

pip

pip install dbl-sat-sdk

uv

uv add dbl-sat-sdk

poetry

poetry add dbl-sat-sdk

Installing dbl-sat-sdk

Before you install

Low install friction with a pure-Python wheel and only two runtime dependencies (requests and msal). However, the package is aging—372 days since last release—and maintenance status is unclear; no recent commits or repository activity visible.

License in practice

License treatment is unclear; the package declares itself as proprietary but provides no SPDX identifier or raw license text. Verify licensing terms with Databricks before use in commercial or redistributed contexts.

Quickstart

pip install dbl-sat-sdk

import dbl_sat_sdk
# Use the SDK to query workspace resource profiles

Requires Python 3.8 or later. Authentication via msal (Microsoft Authentication Library) is a runtime dependency; ensure your environment can authenticate to Databricks.

Verify before relying

  • What specific workspace resources can be profiled (compute, jobs, tables, etc.)?
  • Does the SDK require Databricks workspace credentials or environment setup?
  • Is this package actively maintained or in maintenance-only mode?
  • What is the exact scope of the proprietary license and any usage restrictions?

Package facts

License not declared (unclear)
Python support supports the current Python release (>=3.8)
Install friction low — pure-Python wheel
Runtime dependencies 2 — requests, msal
Maintenance aging — 372 days since the last release
First released
Downloads 83,315/month — #14,080 on PyPI (30-day window, as of 2026-08-14)
Known vulnerabilities none known (OSV.dev, checked 2026-08-14)

Evidence: dbl_sat_sdk-0.1.38-py3-none-any.whl

License :: Other/Proprietary LicenseOperating System :: OS IndependentProgramming Language :: Python :: 3

Tags

databricks workspace profilingdatabricks resource metadatadatabricks security analysis sdkworkspace resource informationdatabricks profile tooldatabricks sat sdk
databrickssecurity-analysisworkspace-profiling

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