Aligned
The DBT of ML for managing data dependencies and reducing technical debt in ML systems.
Pricing
Free tier
Flat rate
Adoption
→StableLicense
Open Source
Data freshness
Verified · Jul 12, 2026Overview
What is Aligned?
Aligned describes data dependencies in ML systems to reduce technical debt, similar to how DBT works for data warehouses. It helps streamline the management of complex data pipelines and feature stores.
Key differentiator
“Aligned offers a unique approach inspired by DBT to manage data dependencies in machine learning systems, making it stand out from other feature store solutions that focus solely on serving features.”
Capability profile
Capability Radar
Honest assessment
Strengths & Weaknesses
↑ Strengths
↓ Weaknesses
API requires Python-specific patterns, TypeScript SDK is community-maintained
v0.1 to v0.2 migration required rewriting chain definitions
Primary development and maintenance focus is on Python, with minimal official support for other languages
GitHub issues often take weeks to receive a response from maintainers
Fit analysis
Who is it for?
✓ Best for
Teams building complex ML pipelines who need to manage data dependencies effectively.
Organizations looking to reduce technical debt in their machine learning systems.
Developers working on large-scale projects where collaboration and dependency management are critical.
✕ Not a fit for
Projects with simple, straightforward data pipelines that do not require extensive dependency management.
Teams who prefer a more manual approach to managing ML dependencies without the need for additional tools.
Cost structure
Pricing
Free Tier
Available
Open source — free to use
Starts at
$0
Model
Flat rate
Enterprise
None
Performance benchmarks
How Fast Is It?
Ecosystem
Relationships
Works well with
Next step
Get Started with Aligned
Step-by-step setup guide with code examples and common gotchas.