databricks/cli

Databricks CLI

Owned by Databricks

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databricks/cli has 400+ stars and 250+ forks on GitHub, is written in Go, and was last pushed on Oct 18, 2026. Data as of . Signed-in members get hourly updates — create a free account.

Summary Information

Updated 10 minutes ago
Added to GitGenius on October 12th, 2026
Created on May 13th, 2022
Open Issues & Pull Requests: 358 (+0)
GitHub issues: Enabled
Number of forks: 252
Total Stargazers: 408 (+0)
Total Subscribers: 21 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 23.7 hours
Mean response time: 16.5 days
90th percentile: 44.9 days
Tracked items: 472

Maintainer activity

11 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

About 19% of issues opened in the past year have never received a reply. 99% of open issues come from outside the core team, so the backlog reflects real-world use rather than internal planning. Work labelled "Response Requested" is answered fastest, typically in about 17 hours, while "PyDABs" waits about 6 days. 19% of tracked open issues have had no activity in three months. 74% of issues opened in the past year have been closed, leaving a working backlog.

Charts & Analytics

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Issue Activity (beta)

Open issues: 93
New in 7 days: 3
Closed in 7 days: 3
Avg open age: 312 days
Stale 30+ days: 66
Stale 90+ days: 36

Recent activity

Opened in 7 days: 3
Closed in 7 days: 3
Comments in 7 days: 5
Events in 7 days: 21

Top labels

  • DABs (352)
  • Bug (154)
  • Stale (129)
  • CLI (128)
  • Enhancement (121)
  • No Autoclose (60)
  • Response Requested (45)
  • engine/direct (36)

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Detailed Description

Databricks CLI is a command-line interface that enables developers to interact with Databricks workspaces and resources from the terminal.

The tool solves the problem of managing Databricks infrastructure and workflows without leaving the command line. It provides a unified interface for authenticating to Databricks, managing workspace resources, deploying code, and automating common administrative tasks. The CLI communicates with Databricks APIs to perform operations across compute, jobs, notebooks, and other workspace components, allowing developers to script and automate their Databricks interactions.

Developers managing Databricks workspaces should adopt this tool if they prefer terminal-based workflows or need to automate Databricks operations in CI/CD pipelines and scripts. It suits teams that want to version control their infrastructure definitions and integrate Databricks management into their existing command-line tooling. The tool is particularly valuable for those building automation around workspace provisioning, job scheduling, and resource deployment without relying on the web UI.

The project shows consistent development activity with regular commits addressing bug fixes and feature additions. The codebase maintains a focus on stability and reliability, with attention paid to error handling and user experience in command output. The project accepts community contributions and maintains responsiveness to issues and pull requests. Development efforts demonstrate a commitment to expanding CLI capabilities to cover more Databricks API functionality over time.