databricks/databricks-sdk-py

Databricks SDK for Python (Beta)

databricks/databricks-sdk-py has 550+ stars and 200+ forks on GitHub, is written in Python, and was last pushed on Oct 15, 2026. Data as of Oct 18, 09:37 UTC. Signed-in members get hourly updates — create a free account.

Summary Information

Updated 10 minutes ago

Type:Library / SDKCategory(s):API Development Tools Data Pipelines & ETL/ELT Developer Tools

Added to GitGenius on October 12th, 2026

Created on June 21st, 2022

Open Issues & Pull Requests: 340 (+0)

GitHub issues: Enabled

Number of forks: 225

Total Stargazers: 573 (+0)

Total Subscribers: 26 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 6.8 days

Mean response time: 60.0 days

90th percentile: 170.1 days

Tracked items: 135

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Maintainer activity

2 people did triage or write work on this repository in the last 12 months.

Counts unlabeled, assigned, unassigned, milestoned, demilestoned, locked, unlocked over the last 12 months. These are issue and pull request events that require triage or write permission. Commits and code review are not counted. labeled and renamed are excluded because GitHub issue forms record the issue author as the actor. Figures from October 18, 2026. This count is not comparable across projects: each project's automation decides which of these events a person emits. How this is counted.

How this project is maintained

Around half of the issues opened in the past year never receive a reply. 100% of open issues come from outside the core team, so the backlog reflects real-world use rather than internal planning. Work labelled "codegen" is answered fastest, typically in about 7 hours, while "Feature Request" waits about 7 days. 75% of tracked open issues have had no activity in three months, so the open count overstates what is actively being worked. Only 14% of issues opened in the past year have been closed.

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Issue Activity (beta)

Open issues: 206

New in 7 days: 0

Closed in 7 days: 0

Avg open age: 640 days

Stale 30+ days: 198

Stale 90+ days: 190

Recent activity

Opened in 7 days: 0

Closed in 7 days: 0

Comments in 7 days: 0

Events in 7 days: 0

Top labels

Triaged (135)
Feature Request (70)
codegen (24)
documentation (22)
OpenAPI (6)
Bug (5)
Work as intended (2)
discussion (1)

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Detailed Description

Databricks SDK for Python is a Python client library that enables programmatic interaction with Databricks workspaces and services.

The SDK solves the problem of integrating Databricks functionality into Python applications by providing a unified interface to Databricks APIs. Rather than making raw HTTP requests or managing authentication manually, developers use the SDK's object-oriented methods to interact with Databricks resources, execute queries, manage clusters, and perform other workspace operations. The library handles authentication, request formatting, and response parsing automatically.

Teams building Python applications that need to interact with Databricks should consider this SDK. It suits projects ranging from data engineering pipelines to analytics automation to administrative tooling. The SDK is particularly valuable for developers who want to avoid the complexity of direct API calls and prefer working with Python objects and methods that map naturally to Databricks concepts.

The project maintains active development with regular updates addressing user feedback and expanding API coverage. The maintainers respond to issues and pull requests consistently, indicating ongoing commitment to the library's stability and feature completeness. Documentation is kept current alongside code changes, supporting developers integrating the SDK into their workflows.