Adala
Autonomous Data Labeling Agent framework for efficient data labeling.
Pricing
Free tier
Flat rate
Adoption
→StableLicense
Open Source
Data freshness
Verified · Jul 12, 2026Overview
What is Adala?
Adala is an Autonomous DAta (Labeling) Agent framework designed to automate the process of data labeling, making it easier and more efficient for developers and data scientists to prepare datasets for machine learning tasks.
Key differentiator
“Adala stands out as an open-source, flexible framework specifically designed to automate data labeling processes, offering a unique solution for developers and data scientists looking to streamline their machine learning workflows.”
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 limited official support for other languages
GitHub issues have slow response times from maintainers; fewer contributors compared to larger projects
Fit analysis
Who is it for?
✓ Best for
Teams working on large-scale projects requiring extensive and accurate data labeling.
Projects where manual data labeling is time-consuming or impractical.
Developers looking to integrate automated data labeling into their machine learning pipelines.
✕ Not a fit for
Small datasets that can be labeled manually without significant effort.
Use cases requiring highly specialized or domain-specific knowledge for accurate labeling.
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
Alternatives
Next step
Get Started with Adala
Step-by-step setup guide with code examples and common gotchas.