Added Nov 5, 2026
Prodigy
PaidScriptable annotation tool for training NLP, vision and LLM models
What is Prodigy?
Prodigy is a downloadable data annotation tool from Explosion, the makers of spaCy, for building training and evaluation data for text, image, audio and video models. It runs locally under your control, which suits teams with strict privacy requirements.
You label examples in a web interface launched from the command line, with models and LLMs such as GPT-4 suggesting annotations for you to correct. Built-in recipes cover named entity recognition, text classification, object detection, image segmentation and prompt evaluation, and you can train a spaCy pipeline straight from the collected data.
Workflows are written in Python, so teams can define custom recipes and interfaces. Explosion offers it to industries such as finance, healthcare, legal, media and research, and it can be adapted to serve internal infrastructure rather than a hosted cloud.
Features
- Model-assisted annotation
- NER and text classification
- Image and AV labeling
- LLM prompt evaluation
- spaCy training
- Custom Python recipes
Tags
Releases
+ Submit new release- Listed
Prodigy was added to the directory.
Organization
Explosion
🇩🇪 Germany
Listed by kitio.ai · unverified owner
Pricing
- Pricing model
- Paid
- Paid options from
- Not listed
Sponsored
Your AI tool here
A Featured launch puts your tool in this spot and on the home page for a week.
Top Prodigy alternatives
View allData & analytics
Free hosted Jupyter notebooks with GPUs and Gemini built in
Data & analytics
Training data, evaluation and data labeling for frontier AI
Data & analytics
Build, label and deploy computer vision models
Data & analytics
AI-native tool for turning data into shareable Python analytics apps
Compare Prodigy
If you liked Prodigy
- GensimNew
Free Python library for topic modelling and text embeddings
FreeModels & APIsMade in Czechia - spaCyNew
Open-source Python library for production natural language processing
FreeModels & APIsMade in Germany - DeepPavlovNew
Open-source Python library of NLP models for QA, NER and classification
FreeModels & APIsMade in Russia Collaborative data notebooks and apps with AI agents
Freemium · $36/moData & analytics1 viewsMade in United States
Pros and cons
Pros
- Runs fully on your own machines
- Tight integration with spaCy
- Highly scriptable workflows
Cons
- Needs command-line and Python skills
- No free tier
- You manage installation and hosting
Prompts & results
No prompts yet. Add your own prompt and output to help others use this tool.
Share a prompt
Reviews
Q&A
What is Prodigy?
Prodigy is a downloadable data annotation tool from Explosion, the makers of spaCy, for building training and evaluation data for text, image, audio and video models. It runs locally under your control, which suits teams with strict privacy requirements.
Is Prodigy a cloud service?
No. You download it and run it locally or on your own servers, so annotated data stays under your control.
Can Prodigy use LLMs to pre-label data?
Yes. It can call models such as GPT-4 to suggest annotations, which you then accept or correct.
How much does Prodigy cost?
Prodigy is paid.
Is there a free version of Prodigy?
No. Prodigy is a paid tool.
What are the main features of Prodigy?
Model-assisted annotation, NER and text classification, Image and AV labeling, LLM prompt evaluation, spaCy training, Custom Python recipes.
Who makes Prodigy?
Prodigy is made by Explosion.
What are the best alternatives to Prodigy?
Popular alternatives include Google Colab, Scale AI, Roboflow.