---
id: dbl-sat-sdk
version: "0.1.38"
license: unclear
license_treatment: unclear
maintenance: aging
---

# dbl-sat-sdk — Databricks Security Analysis Tool

License: unclear · Maintenance: aging · Downloads: 83.3K/mo

## 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 above — 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

pip install dbl-sat-sdk
uv add dbl-sat-sdk
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_current
- Install friction: low
- Maintenance: aging
- Downloads: 83.3K/month (top 15,000 on PyPI)
- Known vulnerabilities: none known

## Tags

databricks workspace profiling, databricks resource metadata, databricks security analysis sdk, workspace resource information, databricks profile tool, databricks sat sdk, databricks, security-analysis, workspace-profiling

[View on SkillFed](https://skillfed.io/packages/dbl-sat-sdk) · [View on PyPI](https://pypi.org/project/dbl-sat-sdk/)