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Databricks Audit Toolkit

$29

Production-ready audit and inventory toolkit for Databricks workspaces. Runs 12 independent audit modules across security, governance, cost, and configuration with consolidated reporting.

🏷 v1.0.0
Production-ready
✓ Instant download✓ Lifetime updates✓ MIT licensed✓ MIT license✓ Secure checkout (Stripe)

📁 File Structure 31 files

databricks-audit-toolkit/
├── LICENSE
├── README.md
├── audits/
│ ├── __init__.py
│ ├── a01_catalog_inventory.py
│ ├── a02_job_inventory.py
│ ├── a03_access_audit.py
│ ├── a04_secret_inventory.py
│ ├── a05_compute_analysis.py
│ ├── a06_security_findings.py
│ ├── a07_audit_logs.py
│ ├── a08_external_storage.py
│ ├── a09_token_inventory.py
│ ├── a10_query_history.py
│ ├── a11_data_lineage.py
│ ├── a12_table_permissions.py
├── config.py
├── examples/
│ ├── sample_output.json
│ ├── scheduling_guide.md
├── free-sample.zip
├── guide/
│ ├── 01_table-of-contents.md
│ ├── 02_installation.md
│ ├── 03_reports.md
│ ├── 04_security-considerations.md
├── index.html
├── reports/
│ ├── __init__.py
│ ├── html_report.py
│ ├── json_report.py
│ ├── templates/
│ │ ├── audit_report.html
├── requirements.txt
├── run_audit.sh
├── utils.py

📖 Documentation Preview README excerpt

Databricks Audit Toolkit

A comprehensive, production-ready audit and inventory toolkit for Databricks

workspaces. Runs 12 independent audit modules covering security, governance,

compute costs, access control, and data lineage — then generates professional

HTML and JSON reports with risk scores and actionable recommendations.

Built by practitioners who manage large-scale Databricks environments daily.

---

Table of Contents

  • [Features](#features)
  • [Quick Start](#quick-start)
  • [Prerequisites](#prerequisites)
  • [Installation](#installation)
  • [Configuration](#configuration)
  • [Usage](#usage)

    • - [Run All Audits](#run-all-audits)

    - [Run Specific Audits](#run-specific-audits)

    - [Output Formats](#output-formats)

    - [List Available Audits](#list-available-audits)

  • [Audit Modules](#audit-modules)

    • - [01 — Catalog Inventory](#01--catalog-inventory)

    - [02 — Job Inventory](#02--job-inventory)

    - [03 — Access Audit](#03--access-audit)

    - [04 — Secret Inventory](#04--secret-inventory)

    - [05 — Compute Analysis](#05--compute-analysis)

    - [06 — Security Findings](#06--security-findings)

    - [07 — Audit Logs](#07--audit-logs)

    - [08 — External Storage](#08--external-storage)

    - [09 — Token Inventory](#09--token-inventory)

    - [10 — Query History](#10--query-history)

    - [11 — Data Lineage](#11--data-lineage)

    - [12 — Table Permissions](#12--table-permissions)

  • [Reports](#reports)

    • - [HTML Report](#html-report)

    - [JSON Report](#json-report)

    - [Risk Scoring](#risk-scoring)

  • [Architecture](#architecture)

    • - [Project Structure](#project-structure)

    - [BaseAudit Class](#baseaudit-class)

    - [API Client](#api-client)

    - [Finding Severity Levels](#finding-severity-levels)

  • [Customization](#customization)

    • - [Adding a Custom Audit](#adding-a-custom-audit)

    - [Adjusting Risk Thresholds](#adjusting-risk-thresholds)

    - [Custom Report Templates](#custom-report-templates)

  • [Scheduling Automated Audits](#scheduling-automated-audits)
  • [Security Considerations](#security-considerations)
  • [Troubleshooting](#troubleshooting)
  • [License](#license)

    • ---

    Features

  • **12 audit modules** covering Unity Catalog, access control, secrets, compute,

    • tokens, query history, data lineage, external storage, and more


    ... preview truncated, see full README in product download.

    📄 Code Sample .py preview

    config.py""" Databricks Audit Toolkit - Central Configuration All credentials are loaded from environment variables. Never hardcode tokens, URLs, or other secrets in source code. Required environment variables: DATABRICKS_HOST - Your workspace URL (e.g., https://your-workspace.cloud.databricks.com) DATABRICKS_TOKEN - Personal access token or service principal token Optional environment variables: DATABRICKS_WAREHOUSE_ID - SQL warehouse ID for query-based audits AUDIT_OUTPUT_DIR - Output directory (default: ./output) AUDIT_LOG_LEVEL - Logging level: DEBUG, INFO, WARNING, ERROR (default: INFO) AUDIT_MAX_RETRIES - Max API retry attempts (default: 3) AUDIT_REQUEST_TIMEOUT - API request timeout in seconds (default: 60) AUDIT_RATE_LIMIT_RPS - Max requests per second (default: 10) """ import os import sys # --------------------------------------------------------------------------- # Credential configuration (always from environment) # --------------------------------------------------------------------------- DATABRICKS_HOST: str = os.environ.get("DATABRICKS_HOST", "").rstrip("/") DATABRICKS_TOKEN: str = os.environ.get("DATABRICKS_TOKEN", "") if not DATABRICKS_HOST: print( "[ERROR] DATABRICKS_HOST environment variable is not set.\n" " Export it before running the toolkit:\n" " export DATABRICKS_HOST='https://your-workspace.cloud.databricks.com'\n" ) sys.exit(1) if not DATABRICKS_TOKEN: print(

    📅 Changelog

    v1.0.0 — Initial release.

    Purchases include lifetime updates. Check the product page for the latest version.

    📄 Product Preview

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    ❓ Frequently Asked Questions

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