---
id: databricks-automl-runtime
version: "0.2.21"
license: http://www.apache.org/licenses/LICENSE-2.0
license_treatment: permissive
maintenance: aging
---

# databricks-automl-runtime — Databricks AutoML Runtime Package

License: permissive · Maintenance: aging · Downloads: 92.1K/mo

## What it is and what it does

Databricks AutoML Runtime is a support package for Databricks' automated machine learning platform. It provides the runtime components needed to execute AutoML workflows—model training, hyperparameter tuning, and evaluation—within Databricks notebooks and jobs. The package has no external runtime dependencies, making it lightweight to install.

This is a platform-specific tool: it's designed to work within the Databricks ecosystem rather than as a standalone library. With steady adoption among Databricks users, it sees regular use, though its aging maintenance status suggests it is stable but not actively developed. The Apache 2.0 license permits unrestricted use in commercial and open-source contexts.

Use it for:

- Automate model selection and hyperparameter tuning within Databricks notebooks without manual experimentation
- Generate baseline models quickly for classification or regression tasks on structured data in Databricks
- Integrate AutoML workflows into Databricks jobs for scheduled, production model training
- Reduce time-to-model for data scientists working in Databricks environments

## Worth the install?

AI-flagged interpretation of the facts above — verify before relying.

Provides runtime support for Databricks AutoML, enabling automated machine learning model training and evaluation workflows within the Databricks platform.

Yes, if you are actively using Databricks and need automated model training. The low install friction, permissive license, and absence of external dependencies make it safe to add. The aging maintenance status means it is stable but not evolving; install it for established workflows, not as a foundation for new platform investments. No known security vulnerabilities.

## Install

pip install databricks-automl-runtime
uv add databricks-automl-runtime
poetry add databricks-automl-runtime

## Installing databricks-automl-runtime

Before you install: Low install friction with no runtime dependencies. Maintenance is aging—last release was in February 2024, though the repository remains active with a recent commit on 2026-01-23. Suitable for stable, established workflows rather than projects requiring frequent updates.

License in practice: Licensed under Apache 2.0 (permissive), allowing free use, modification, and distribution with minimal restrictions, making it safe for commercial and open-source projects.

Quickstart:

pip install databricks-automl-runtime==0.2.21

from databricks_automl_runtime import ...
# Use within Databricks notebooks or jobs

Designed for use within Databricks platform; standalone utility outside that environment is limited.

Verify before relying:

- Specific AutoML capabilities and supported model types beyond the package name
- Whether this is a runtime-only package or includes training orchestration
- Compatibility with current Databricks platform versions
- Performance characteristics or scalability limits for large datasets

## Package facts

- License: http://www.apache.org/licenses/LICENSE-2.0 (permissive)
- Python support: unspecified
- Install friction: low
- Maintenance: aging
- Downloads: 92.1K/month (top 15,000 on PyPI)
- Known vulnerabilities: none known

## Tags

databricks automl runtime, automated machine learning databricks, automl model training, databricks ml automation, automl runtime support, databricks model generation, databricks-native, automl, model-training

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