databricks-cli
A command line interface for Databricks
Decision gist · record as of 2026-08-14
No. The package is abandoned, explicitly superseded by newer versions and a dedicated SDK, and marked experimental. While it has low install friction and no known vulnerabilities, Databricks actively recommends against using it for new work. Install only if you are maintaining legacy scripts that cannot be migrated; for any new integration, use the recommended CLI 0.200+ or databricks-sdk-py instead.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python >= 3.7; macOS users need a Python build with ssl.PROTOCOL_TLSv1_2 support (system Python may lack it).
- Low install friction with standard dependencies, but the package is abandoned as of 2023-10-05 and explicitly marked experimental.
- Databricks recommends version 0.200 and above instead.
License · maintenance · safety
Apache License 2.0 (permissive) — Apache License 2.0 (permissive) — you can use, modify, and distribute freely with attribution and no warranty.
last release 2023-10-05 (1044 days) · last repo commit 2023-10-05 · 397 stars · archived
0 known vulnerabilities (OSV.dev, 2026-08-14) · 14,675,631 downloads/mo, #1,218 on PyPI
Alternatives
Verify before relying
pip install databricks-cli==0.18.0
databricks configure --token
# Enter hostname and auth token at prompt
databricks workspace ls- Whether the package's 0.18.0 release works reliably with current Databricks API versions despite being abandoned.
- Compatibility with Databricks workspaces created after the package's final release date.
- Whether authentication via ~/.databrickscfg persists across newer Databricks platform changes.
What it is and what it does
databricks-cli is a command-line tool that wraps Databricks REST APIs, allowing you to manage workspaces, jobs, clusters, and files from the terminal. It handles authentication via token or username/password, storing credentials in ~/.databrickscfg, and supports multiple connection profiles. The tool depends on click, requests, oauthlib, pyjwt, tabulate, six, and urllib3 to provide a lightweight CLI layer over HTTP calls.
However, this package is no longer actively maintained—the repository is archived, the last commit was 2023-10-05, and Databricks explicitly recommends migrating to CLI versions 0.200 and above or the dedicated Python SDK (databricks-sdk-py) for new work. It is marked as experimental and receives no bug fixes or feature updates.
Use it for
- Scripting workspace operations (listing, creating, deleting directories) in shell automation or CI/CD pipelines.
- Managing Databricks jobs and clusters from the command line during development or testing.
- Uploading or downloading files to Databricks file systems in batch workflows.
- Quick ad-hoc queries or cluster management when GUI access is unavailable.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
No.
The package is abandoned, explicitly superseded by newer versions and a dedicated SDK, and marked experimental. While it has low install friction and no known vulnerabilities, Databricks actively recommends against using it for new work. Install only if you are maintaining legacy scripts that cannot be migrated; for any new integration, use the recommended CLI 0.200+ or databricks-sdk-py instead.
Install
databricks-cli on PyPI
Before you install
Low install friction with standard dependencies, but the package is abandoned as of 2023-10-05 and explicitly marked experimental. Databricks recommends version 0.200 and above instead.
Requires Python >= 3.7; macOS users need a Python build with ssl.PROTOCOL_TLSv1_2 support (system Python may lack it).
License in practice
Apache License 2.0 (permissive) — you can use, modify, and distribute freely with attribution and no warranty.
Quickstart
pip install databricks-cli==0.18.0
databricks configure --token
# Enter hostname and auth token at prompt
databricks workspace lsVerify before relying
- Whether the package's 0.18.0 release works reliably with current Databricks API versions despite being abandoned.
- Compatibility with Databricks workspaces created after the package's final release date.
- Whether authentication via ~/.databrickscfg persists across newer Databricks platform changes.
Package facts
| License | Apache License 2.0 permissive |
| Python support | Supports the current Python release >=3.7 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 7 packagesclickpyjwtoauthlibrequeststabulatesixurllib3 |
| Maintenance | Abandoned 1,044 days since the last release |
| Last repo commit | repository archived |
| First released | |
| Downloads | 14,675,631 / month, #1,218 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Intended Audience :: DevelopersIntended Audience :: System AdministratorsLicense :: OSI Approved :: Apache Software LicenseProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.7Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9 |
Evidence: databricks_cli-0.18.0-py2.py3-none-any.whl
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See also databricks-sdk · databricks-api · dbx · brickflows · databricks-connect · dbl-sat-sdk · databricks-labs-blueprint · pulumi-databricks · databricksapi · azure-mgmt-databricks