Snorkel
Generate training data with weak supervision quickly.
Pricing
Free tier
Flat rate
Adoption
→StableLicense
Open Source
Data freshness
Aging · Jun 8, 2026Overview
What is Snorkel?
Snorkel is a system for rapidly creating labeled training datasets using weak supervision techniques. It allows users to label data programmatically, making it easier and faster to generate high-quality training sets without manual labeling.
Key differentiator
“Snorkel stands out as an efficient tool for automating the creation of labeled datasets, reducing the time and effort required to prepare training data for machine learning models.”
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
Complex scenarios and best practices are not well-documented in official guides
Processing time increases exponentially with the size of input data, leading to long wait times for results
Fit analysis
Who is it for?
✓ Best for
Teams needing to quickly generate training datasets without extensive manual effort
Projects with limited labeled data but a need for rapid model development
✕ Not a fit for
Scenarios requiring real-time labeling or interaction with live data streams
Applications where the quality of manually curated labels is critical and cannot be compromised by automated methods
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
Next step
Get Started with Snorkel
Step-by-step setup guide with code examples and common gotchas.