Prodigy
An annotation tool for AI, Machine Learning & NLP.
Overview
Prodigy is a downloadable, scriptable annotation tool created by the makers of the spaCy NLP library. It's designed for data scientists and developers to do annotation themselves, efficiently. Prodigy's key philosophy is active learning, where a machine learning model is in the loop, suggesting labels and prioritizing examples for the annotator to review. This makes the process faster and more engaging than manual labeling.
✨ Key Features
- Scriptable and highly customizable workflows
- Active learning-powered annotation
- Tight integration with spaCy and other ML libraries
- Self-hosted for data privacy
- Simple and efficient user interface
- Supports text, image, and audio annotation
🎯 Key Differentiators
- Developer-first, scriptable approach
- Active learning is a core part of the workflow
- Seamless integration with the popular spaCy library
Unique Value: Enables the creation of training data in a fundamentally more efficient way by putting a model in the loop, turning data labeling into a more dynamic and developer-centric task.
🎯 Use Cases (5)
✅ Best For
- A developer quickly labeling a few thousand text examples to train a custom NER model
- A data scientist correcting the predictions of a sentiment analysis model to improve its accuracy
- Creating a training set for a simple image classification task
💡 Check With Vendor
Verify these considerations match your specific requirements:
- Large teams of non-technical annotators
- Complex, multi-stage annotation projects requiring a GUI for workflow management
- Users who want a cloud-based, managed SaaS solution
🏆 Alternatives
Offers a much more efficient and engaging annotation experience for technical users compared to manual, point-and-click tools.
💻 Platforms
✅ Offline Mode Available
🔌 Integrations
🛟 Support Options
- ✓ Email Support
🔒 Compliance & Security
💰 Pricing
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