databricks-automl-runtime

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 on this page — 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

databricks-automl-runtime on PyPI

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

Evidence: databricks_automl_runtime-0.2.21-py2.py3-none-any.whl

Tags

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