dbl-sat-sdk
Databricks Security Analysis Tool
Decision gist · record as of 2026-08-14
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.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.8 or later.
- Authentication via msal (Microsoft Authentication Library) is a runtime dependency; ensure your environment can authenticate to Databricks.
- Low install friction with a pure-Python wheel and only two runtime dependencies (requests and msal).
License · maintenance · safety
(unclear) — 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.
last release 2025-08-07 (372 days)
0 known vulnerabilities (OSV.dev, 2026-08-14) · 83,315 downloads/mo, #14,080 on PyPI
Alternatives
Verify before relying
pip install dbl-sat-sdk
import dbl_sat_sdk
# Use the SDK to query workspace resource profiles- 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?
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 on it.
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
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.
Requires Python 3.8 or later. Authentication via msal (Microsoft Authentication Library) is a runtime dependency; ensure your environment can authenticate to Databricks.
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 profilesVerify 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 packagesrequestsmsal |
| 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 |
| Classifiers | License :: Other/Proprietary LicenseOperating System :: OS IndependentProgramming Language :: Python :: 3 |
Evidence: dbl_sat_sdk-0.1.38-py3-none-any.whl
Tags
Let your AI agent find packages like this
Example. Real query, live index.
You found this page by searching. An agent finds it by wishing: SkillFed indexes 14,416 PyPI packages by what they can do, searchable in plain language.
wish › “databricks workspace profiling”
- dbl-sat-sdkRetrieves profile and metadata information about Databricks workspace…
- databricks-labs-blueprintProvides Python-native pathlib-like interfaces for Databricks…
- databricksapiA Python wrapper for the Databricks REST API that provides…
Give your agent the search over MCP, or paste the wish link into any chat.
More Security packages
Provides Python bindings to the FreeDesktop.org Secret Service API for securely storing and retrieving passwords and secrets through GNOME Keyring, KWallet, or KeePassXC.
MSAL for Python handles OAuth2 and OpenID Connect authentication with Microsoft identity services, managing token acquisition, caching, and refresh for applications integrating with Microsoft Entra ID, Microsoft Accounts, and Azure AD B2C.
joserfc implements JOSE standards (JWS, JWE, JWK, JWT, and related RFCs) for signing, encrypting, and managing JSON-based cryptographic tokens in Python.
Authlib provides a complete implementation of OAuth 1.0, OAuth 2.0, and OpenID Connect 1.0 for building both authentication clients and servers, with built-in support for JWS, JWK, JWA, and JWT standards.
Provides low-level CFFI bindings to the official Argon2 password hashing algorithm for use by libraries and applications that need direct access to Argon2 without higher-level abstractions.
ADAL for Python authenticates applications with Azure Active Directory to obtain tokens for accessing Azure AD-protected resources.
Install only if maintaining existing code that already depends on it, and plan a migration.
See also databricks-sdk · databricks-labs-blueprint · databricks-cli · azure-mgmt-databricks · sqlalchemy-databricks · databricksapi · databricks-connect · databricks-api · databricks-agents · pulumi-databricks