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Databricks Workspace Toolkit

$29

Automate Databricks workspace management including clusters, jobs, secrets, and permissions.

📁 17 files🏷 v1.0.0

Production-ready

✓ Instant download✓ Lifetime updates✓ MIT licensed✓ MIT license✓ Secure checkout (Stripe)

📋 What's Inside 17 files

✓ README.md—
✓ manifest.json—
✓ LICENSE—
✓ src/workspace_manager.py—
✓ src/cluster_manager.py—
✓ src/job_manager.py—
✓ src/secret_manager.py—
✓ src/unity_catalog_setup.py—
✓ src/permissions_manager.py—
✓ configs/cluster_policies.json—
✓ configs/workspace_config.yaml—
✓ configs/job_templates/etl_job.json—
✓ configs/job_templates/ml_training_job.json—
✓ scripts/setup_workspace.sh—
✓ scripts/export_workspace.sh—

📁 File Structure 17 files

databricks-workspace-toolkit/
├── README.md
├── manifest.json
├── LICENSE
├── src/
│ ├── workspace_manager.py
│ ├── cluster_manager.py
│ ├── job_manager.py
│ ├── secret_manager.py
│ ├── unity_catalog_setup.py
│ ├── permissions_manager.py
├── configs/
│ ├── cluster_policies.json
│ ├── workspace_config.yaml
│ ├── job_templates/
│ │ ├── etl_job.json
│ │ ├── ml_training_job.json
├── scripts/
│ ├── setup_workspace.sh
│ ├── export_workspace.sh
├── notebooks/
│ ├── admin_dashboard.py
├── guides/
│ ├── workspace-management.md

📖 Documentation Preview README excerpt

Databricks Workspace Toolkit

Automate Databricks workspace management — clusters, jobs, secrets, Unity Catalog, and permissions.

> Stop clicking through the UI. Manage your entire Databricks workspace programmatically with production-ready Python wrappers around the Databricks REST APIs.

---

What You Get

**Workspace management** — List, create, delete, import/export notebooks programmatically

**Cluster automation** — Create clusters, resize, manage pools, enforce auto-termination policies

**Job orchestration** — Create multi-task workflows, manage schedules, configure notifications

**Secret management** — Create scopes, store secrets, manage ACLs for secure credential handling

**Unity Catalog setup** — Bootstrap catalogs, schemas, tables, grants, and external locations

**Permissions manager** — Configure RBAC for clusters, jobs, notebooks, and SQL warehouses

**Cluster policies** — Cost control templates with instance type restrictions and spot pricing

**Job templates** — Ready-to-use ETL and ML training job definitions

**Shell scripts** — Bootstrap workspace setup and backup/export notebooks

**Admin dashboard** — Databricks notebook showing cluster usage, job status, and costs

File Tree


databricks-workspace-toolkit/
├── README.md
├── manifest.json
├── LICENSE
├── src/
│   ├── workspace_manager.py       # Notebook CRUD, import/export
│   ├── cluster_manager.py         # Cluster lifecycle, pools, policies
│   ├── job_manager.py             # Jobs API: create, run, notifications
│   ├── secret_manager.py          # Secret scopes and ACLs
│   ├── unity_catalog_setup.py     # UC bootstrap: catalogs, schemas, grants
│   └── permissions_manager.py     # RBAC for workspace resources
├── configs/
│   ├── cluster_policies.json      # Cost control cluster policies
│   ├── workspace_config.yaml      # Environment configuration
│   └── job_templates/
│       ├── etl_job.json           # Multi-task ETL pipeline job
│       └── ml_training_job.json   # ML training with GPU cluster
├── scripts/
│   ├── setup_workspace.sh         # Bootstrap workspace setup
│   └── export_workspace.sh        # Backup notebooks and configs
├── notebooks/
│   └── admin_dashboard.py         # Admin overview dashboard
└── guides/
    └── workspace-management.md    # Best practices guide


Getting Started

1. Configure Your Workspace


configs/workspace_config.yaml
workspace:
  host: "https://adb-1234567890.12.azuredatabricks.net"
  token_env_var: "DATABRICKS_TOKEN"

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

`📄 Code Sample .py preview`

src/workspace_manager.py"""
Databricks Workspace Manager
=============================

Python wrapper around the Databricks Workspace API for managing notebooks,
directories, and workspace objects programmatically.

Datanest Digital | https://datanest.dev
"""

from __future__ import annotations

import base64
import logging
import os
from dataclasses import dataclass, field
from pathlib import PurePosixPath
from typing import Optional

import requests
import yaml

logger = logging.getLogger(__name__)


@dataclass
class WorkspaceConfig:
    """Configuration for connecting to a Databricks workspace."""

    host: str
    token: str
    timeout: int = 30

    @classmethod
    def from_yaml(cls, config_path: str) -> WorkspaceConfig:
        """Load workspace config from a YAML file.

        Args:
            config_path: Path to the workspace_config.yaml file.

`📅 Changelog`

v1.0.0 — Initial release.

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

`📄 Product Preview`

Try the interactive reader and demo tools below, or get the full product with all content unlocked.

📖 Interactive Reader (Free Preview)⚙ Try Demo Tools📦 Download Free Sample

`❓ Frequently Asked Questions`

What license is this under?

MIT License. You can use it in commercial, client, and internal projects. See our license terms page for details.

How do I download after purchase?

Immediately after purchase, you'll be redirected to a download page. A download link is also sent to your email.

Do I get updates?

Yes. All products include lifetime updates at no extra cost. Re-download anytime for the latest version.

What if it doesn't work for me?

DM @DatanestDigital on X and we'll make it right.

Can I get a refund?

DM @DatanestDigital on X with your order number and we'll help.

Is there support?

DM @DatanestDigital on X. We respond within 1-2 business days.



      
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