Aligned

What it is

Aligned is a tool designed to manage data dependencies in machine learning systems, aiming to reduce technical data debt. It is inspired by DBT but focuses on machine learning operations (MLOps). The tool is implemented in Python and provides a framework for defining and managing data contracts, feature engineering, and feature storage. Despite its potential, Aligned is still in its early stages, with limited adoption and community engagement.

Focuses on managing data dependencies specifically for ML systems.

When it fits — and when it doesn’t

Known weaknesses

Each one links to the public issue, changelog or docs page it came from, where we have one.

1. 01

   Low adoption

   Only 61 stars and 2 forks on GitHub.

2. 02

   Limited documentation

   No homepage or repository documentation found.

3. 03

   Early stage development

   Latest version is 0.1.0 with only two total versions.

What it does well

• Focus on ML data dependencies

  Described as 'The DBT of ML' in its GitHub description.

• Open source

  Available on GitHub with an open license.

• Supports feature engineering

  Listed as a topic on GitHub.

Pricing

Free tier

Yes

Paid from

—

Model

N/A

Enterprise plan

No

Pricing last confirmed Sep 27, 2026.