# databricks-sdk
> Databricks SDK for Python (Beta)
- **URL**: https://www.freshcrate.ai/projects/databricks-sdk
- **Author**: pypi
- **Category**: RAG & Memory
- **Latest version**: `0.103.0` (2026-04-21)
- **License**: Unknown
- **Homepage**: https://pypi.org/project/databricks-sdk/
- **Language**: Python
- **Registry**: pypi (`databricks-sdk`)
- **Tags**: `databricks`, `pypi`, `sdk`
## Description
# Databricks SDK for Python (Beta)
[](https://pypistats.org/packages/databricks-sdk)
[](https://github.com/databricks/databricks-sdk-py/blob/main/LICENSE)
[](https://snyk.io/advisor/python/databricks-sdk)
[](https://codecov.io/gh/databricks/databricks-sdk-py)
[]([https://codecov.io/github/databricks/databricks-sdk-py](https://github.com/databricks/databricks-sdk-py))
[Beta](https://docs.databricks.com/release-notes/release-types.html): This SDK is supported for production use cases,
but we do expect future releases to have some interface changes; see [Interface stability](#interface-stability).
We are keen to hear feedback from you on these SDKs. Please [file issues](https://github.com/databricks/databricks-sdk-py/issues), and we will address them.
| See also the [SDK for Java](https://github.com/databricks/databricks-sdk-java)
| See also the [SDK for Go](https://github.com/databricks/databricks-sdk-go)
| See also the [Terraform Provider](https://github.com/databricks/terraform-provider-databricks)
| See also cloud-specific docs ([AWS](https://docs.databricks.com/dev-tools/sdk-python.html),
[Azure](https://learn.microsoft.com/en-us/azure/databricks/dev-tools/sdk-python),
[GCP](https://docs.gcp.databricks.com/dev-tools/sdk-python.html))
| See also the [API reference on readthedocs](https://databricks-sdk-py.readthedocs.io/en/latest/)
The Databricks SDK for Python includes functionality to accelerate development with [Python](https://www.python.org/) for the Databricks Lakehouse.
It covers all public [Databricks REST API](https://docs.databricks.com/dev-tools/api/index.html) operations.
The SDK's internal HTTP client is robust and handles failures on different levels by performing intelligent retries.
## Contents
- [Getting started](#getting-started)
- [Code examples](#code-examples)
- [Authentication](#authentication)
- [Long-running operations](#long-running-operations)
- [Paginated responses](#paginated-responses)
- [Retries](#retries)
- [Single-sign-on with OAuth](#single-sign-on-sso-with-oauth)
- [User Agent Request Attribution](#user-agent-request-attribution)
- [Error handling](#error-handling)
- [Logging](#logging)
- [Integration with `dbutils`](#interaction-with-dbutils)
- [Interface stability](#interface-stability)
## Getting started
1. Please install Databricks SDK for Python via `pip install databricks-sdk` and instantiate `WorkspaceClient`:
```python
from databricks.sdk import WorkspaceClient
w = WorkspaceClient()
for c in w.clusters.list():
print(c.cluster_name)
```
Databricks SDK for Python is compatible with Python 3.7 _(until [June 2023](https://devguide.python.org/versions/))_, 3.8, 3.9, 3.10, and 3.11.
**Note:** Databricks Runtime starting from version 13.1 includes a bundled version of the Python SDK.
It is highly recommended to upgrade to the latest version which you can do by running the following in a notebook cell:
```python
%pip install --upgrade databricks-sdk
```
followed by
```python
dbutils.library.restartPython()
```
## Code examples
The Databricks SDK for Python comes with a number of examples demonstrating how to use the library for various common use-cases, including
* [Using the SDK with OAuth from a webserver](https://github.com/databricks/databricks-sdk-py/blob/main/examples/flask_app_with_oauth.py)
* [Using long-running operations](https://github.com/databricks/databricks-sdk-py/blob/main/examples/starting_job_and_waiting.py)
* [Authenticating a client app using OAuth](https://github.com/databricks/databricks-sdk-py/blob/main/examples/local_browser_oauth.py)
These examples and more are located in the [`examples/` directory of the Github repository](https://github.com/databricks/databricks-sdk-py/tree/main/examples).
Some other examples of using the SDK include:
* [Unity Catalog Automated Migration](https://github.com/databricks/ucx) heavily relies on Python SDK for working with Databricks APIs.
* [ip-access-list-analyzer](https://github.com/alexott/databricks-playground/tree/main/ip-access-list-analyzer) checks & prunes invalid entries from IP Access Lists.
## Authentication
If you use Databricks [configuration profiles](https://docs.databricks.com/dev-tools/auth.html#configuration-profiles)
or Databricks-specific [environment variables](https://docs.databricks.com/dev-tools/auth.html#environment-variables)
for [Databricks authentication](https://docs.databricks.com/dev-tools/auth.html), the only code required to start
working
## Recent releases
| Version | Date | Urgency | Changes |
| --- | --- | --- | --- |
| `0.103.0` | 2026-04-21 | Low | Imported from PyPI (0.103.0) |
## Citation
- HTML: https://www.freshcrate.ai/projects/databricks-sdk
- Markdown: https://www.freshcrate.ai/projects/databricks-sdk.md
- Dependencies JSON: https://www.freshcrate.ai/api/projects/databricks-sdk/deps
_Generated by freshcrate.ai. Indexes pypi releases for AI-agent ecosystem packages._