Built something? We create video reels & spotlights for GitHub projects.Promote your project →
databricks
Home / Python / databricks-sdk-py

databricks/databricks-sdk-py

Databricks SDK for Python (Beta)

Python ◇ databricks Apache-2.0
★577STARS
⑂228FORKS
!344ISSUES
🏆#11,533GLOBAL RANK
🔥4DAYS TRENDING
🚀
Maintainer Growth Kit for databricks-sdk-py

Claim this project, add your verified backlink badge to your README, and download milestone cards.

Claim Repo

⚡ Executive Summary & Quick Facts

Authoritative Source

databricks-sdk-py is databricks-sdk-py is an open-source project written in Python: Databricks SDK for Python (Beta)..

Direct Citation for AI & Research:
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), databricks/databricks-sdk-py has accumulated 577 GitHub stars and 228 forks. It is written in Python, licensed under Apache-2.0, and ranks #11,533 globally. It is actively maintained with the latest commit recorded on Nov 9, 2026.”
Repository databricks/databricks-sdk-py ↗
Primary Category databricks
Language & Stack Python
Software License Apache-2.0
Community Traction ★ 577 stars · ⑂ 228 forks · #11,533 globally
Maintenance ● Active (Last commit: Nov 9, 2026) · 344 open issues
Target Audience Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.

🛡️ Repository Maintenance & Health Audit (2026)

Health Score: 92/100 · Grade A
✅
Is databricks-sdk-py actively maintained in 2026?
Verdict: Actively Maintained

Yes, databricks-sdk-py is actively maintained. Continuous telemetry recorded the last code commit on Nov 9, 2026 (4 days ago). Supported by 577 stars and 228 community forks, this repository holds a calculated health index of 92/100, reflecting very active (commits within last 14 days) and active community feedback (344 open).

Commit Recency
Nov 9, 2026
4 days since last push
Issue Backlog
344 Open Issues
Active Community Feedback (344 open)
Community Backing
228 Forks
577 Stars Recorded
Software License
Apache-2.0
Permissive & Inspectable

Star History

Continuous Observations
Interactive star growth chart for databricks/databricks-sdk-py
CSV
⭐ VIRAL README KIT & BACKLINKS

Add Live Star History & Verified Badges to README.md

Keep your repository README looking professional and dynamic. As our continuous crawler records new stars, these official SVG badges update in real time with zero maintenance.

Open README on GitHub ↗
Option 1: Interactive Star History Chart Dynamic SVG

Renders your high-resolution star trajectory chart right inside your GitHub README or project docs.

databricks/databricks-sdk-py Star History Preview
markdown
[![Star History Chart](https://githubrepo.cloud/api/badge/chart/databricks/databricks-sdk-py.svg?theme=dark)](https://githubrepo.cloud/repo/databricks/databricks-sdk-py?utm_source=readme_chart)
Direct SVG Link ↗
Option 2: Verified Live Badges Suite Shields.io Style

Compact badges for your README header. Real-time stars, velocity, health audit, and rank.

Featured badge Stars badge Velocity badge Health badge Rank badge
markdown (all 5 badges)
[![Featured on GitHubRepo.cloud](https://githubrepo.cloud/badge/databricks/databricks-sdk-py.svg?metric=featured)](https://githubrepo.cloud/repo/databricks/databricks-sdk-py?utm_source=readme_badge) [![GitHubRepo Stars](https://githubrepo.cloud/badge/databricks/databricks-sdk-py.svg?metric=stars)](https://githubrepo.cloud/repo/databricks/databricks-sdk-py?utm_source=readme_badge) [![GitHubRepo Velocity](https://githubrepo.cloud/badge/databricks/databricks-sdk-py.svg?metric=velocity)](https://githubrepo.cloud/repo/databricks/databricks-sdk-py?utm_source=readme_badge) [![Maintenance Health](https://githubrepo.cloud/badge/databricks/databricks-sdk-py.svg?metric=health)](https://githubrepo.cloud/repo/databricks/databricks-sdk-py?utm_source=readme_badge) [![Global Rank](https://githubrepo.cloud/badge/databricks/databricks-sdk-py.svg?metric=rank)](https://githubrepo.cloud/repo/databricks/databricks-sdk-py?utm_source=readme_badge)

Momentum

+14

STARS · LAST 30 DAYS

1

PER DAY

#1,586

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+7+14+90
Per day111
Forks gained+1+5+11

databricks-sdk-py gained 14 stars in the last 30 days, about 1 a day, and now has 577. It is about 4 years old and has averaged roughly 144 stars a year. It ranks #1,586 among Python repositories and #11,533 across all languages on GitHubRepo.

Trending Record

databricks-sdk-py has maintained a continuous presence across global trending indexes, peaking at #13826. Below is the 30-day activity profile:

💡 Overview

databricks-sdk-py is an open-source project written in Python: Databricks SDK for Python (Beta).

Engineered for speed, consistency, and developer ease, it solves common hurdles in databricks, databricks-sdk, python. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.

⚡ Key Features

1

Optimized execution pipeline written in Python for predictable speed.

2

Zero-friction configuration with comprehensive sensible defaults out of the box.

3

Cross-platform runtime support across Linux, macOS, and Windows environments.

4

Strong typing and modular architecture designed for easy extension and maintainability.

5

Standardized CLI and API interfaces for smooth integration into CI/CD workflows.

6

Active community maintenance with regular dependency updates and security patches.

📥 Installation

terminal
$ pip install databricks-sdk-py

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

databricks-sdk-py coordinates its core functionality through a modular Python pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.

🎯 Production Use Cases

Production System Integration

Embed databricks-sdk-py into Python backend services to handle core application logic.

CI/CD Automated Pipelines

Run automated validation, builds, and integration suites during deployments.

Developer Tooling & Workflows

Accelerate developer onboarding with pre-configured project utilities.

Open Source Extension

Fork and customize internal modules under the repository's open Apache-2.0 license.

🚀 Getting Started

1

Install databricks-sdk-py using your package manager: `pip install databricks-sdk-py`

2

Initialize your project workspace or configuration file for databricks-sdk-py.

3

Import databricks-sdk-py into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `databricks-sdk-py --help` to verify successful setup.

👍 Strengths

Active community backing with 577 GitHub stars and verified adoption.
Permissive open-source distribution under the Apache-2.0 license.
Built in Python for high execution speed and developer familiarity.
Cross-platform compatibility across modern Linux, macOS, and Windows environments.
Clean modular design allowing flexible configuration and pipeline integration.

⚠️ Considerations

Requires familiarity with Python and modern CLI workflows.
Ecosystem extensions may require manual configuration depending on environment constraints.
Active development roadmap means breaking API changes may occur across major versions.

⇄ Alternatives & Direct Competitors

P
public-apis/public-apis ★ 497.3K Python

A collective list of free APIs

Compare ↗
F

:books: Freely available programming books

Compare ↗
P

Curated list of project-based tutorials

Compare ↗
H
NousResearch/hermes-agent ★ 257.2K Python

The agent that grows with you

Compare ↗

👥 Who Should Use This

Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

databricks/databricks-sdk-py is currently ranked #11,533 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#11,523 sveltekit-i18n/lib TypeScript ★ 578 Compare ↗
#11,523 aws-samples/service-screener-v2 Python ★ 578 Compare ↗
#11,523 Mixar-AI/mixar-app Python ★ 578 Compare ↗
#11,523 omdsh-dev/dsh-genui TypeScript ★ 578 Compare ↗
#11,523 jkudish/jev-mcp JavaScript ★ 578 Compare ↗
#11,533 databricks/databricks-sdk-py This Project Python ★ 577
#11,533 cbschuld/Browser.php PHP ★ 577 Compare ↗
#11,533 catatsuy/private-isu Go ★ 577 Compare ↗
#11,533 openstack/openstack-helm Shell ★ 577 Compare ↗
#11,533 AerialScreensaver/Aerial Swift ★ 577 Compare ↗
#11,533 GregTechCEu/GregTech-Modern Java ★ 577 Compare ↗
SPONSORED Trending Developer Tools & Services

Frequently Asked Questions

What does databricks-sdk-py do? +

Databricks SDK for Python (Beta)

Is databricks-sdk-py actively maintained in 2026? +

Yes, databricks-sdk-py is actively maintained. The latest code push was recorded on Nov 9, 2026 (4 days ago). It holds a calculated Maintenance Health Score of 92/100 (A rating) with 577 stars and 344 open issues.

What language is databricks-sdk-py written in? +

The primary language is Python. Topics include: databricks, databricks-sdk, python.

How many stars does databricks-sdk-py have? +

databricks-sdk-py has 577 stars and 228 forks on GitHub.

How does databricks-sdk-py rank among GitHub repositories? +

With 577 stars, databricks/databricks-sdk-py is ranked #11,533 globally across all repositories tracked on GitHubRepo and #1,586 among Python projects.

What license is databricks-sdk-py distributed under? +

The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.

From our network
FOR MAINTAINERS

Built something? Put it in front of millions of developers.

We make a short reel about your project and post it across YouTube, Instagram, Threads, and X. Send a link, we do the rest.

SPONSORED Sponsored Partner