databricks-automl-runtime
Databricks AutoML Runtime Package
Decision gist · record as of 2026-08-14
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.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Designed for use within Databricks platform; standalone utility outside that environment is limited.
- 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.
License · maintenance · safety
permissive license (permissive) — Licensed under Apache 2.0 (permissive), allowing free use, modification, and distribution with minimal restrictions, making it safe for commercial and open-source projects.
last release 2024-02-21 (905 days) · last repo commit 2026-01-23 · 27 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 92,115 downloads/mo, #13,479 on PyPI
Alternatives
Verify before relying
pip install databricks-automl-runtime==0.2.21
from databricks_automl_runtime import ...
# Use within Databricks notebooks or jobs- 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
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 on it.
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
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.
Designed for use within Databricks platform; standalone utility outside that environment is limited.
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 jobsVerify 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 | permissive license permissive |
| Python support | Not specified |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | None |
| Maintenance | Aging 905 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 92,115 / month, #13,479 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Programming Language :: Python :: 3Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9 |
Evidence: databricks_automl_runtime-0.2.21-py2.py3-none-any.whl
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