Prodigy

Scriptable annotation tool with active learning for efficient ML training data creation.

Best for: Best-in-class active learning Not ideal for: Expensive for individuals
Price From $490/mo
Free plan No
For Researchers
Level Beginner
Updated Mar 2026
Category AI Research
01

Why choose Prodigy

Modern annotation tool by Explosion (makers of spaCy) for creating training data for machine learning models. Scriptable and efficient, using active learning to focus annotation efforts on the most impactful examples for NLP, CV, and more.

  • +Best-in-class active learning
  • +Deep spaCy integration
  • +Highly scriptable
  • +One-time license fee
02

Where it falls short

  • Expensive for individuals
  • Steep learning curve
  • Command-line focused
  • Single-user by default
03

Best for these users

👤
Target audience
Researchers, academics, knowledge workers
📌
Best for
Best-in-class active learning
Skip if you need
Expensive for individuals
04

Pricing overview

Paid From $490/mo Free plan: No

Personal license at $490 one-time. Company license at $9,900. Academic discounts available.

Check current pricing →
05

Key features

Active learning
NLP annotation
Computer vision labeling
Custom workflows
spaCy integration
Scriptable recipes
07

Alternatives to Prodigy

Scale AI

Enterprise data platform providing high-quality AI training data with human-AI labeling.

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Encord

AI data platform for CV teams with automated labeling, quality metrics, and active learning.

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Label Studio

Open-source multi-format data labeling platform for ML with configurable interfaces.

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Labelbox

AI data engine for collaborative training data pipelines with model-assisted labeling.

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Snorkel AI

Programmatic data labeling platform using labeling functions instead of manual annotation.

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08

Related comparisons

09

The verdict

Prodigy Paid

Prodigy is a solid choice for researchers who need best-in-class active learning. At starting at $490/mo, it delivers good value. Main caveat: expensive for individuals. Compare with alternatives before committing.