Prodigy
Data annotation and labeling platform for machine learning and NLP
- Also known as
- prodigy
What is Prodigy?
Prodigy is a downloadable developer tool that helps teams efficiently annotate training data and build machine learning models. It runs entirely on user infrastructure, integrates with spaCy and other Python libraries, and supports customizable automated workflows and human-in-the-loop annotation processes.
Prodigy pricing
We don't have Prodigy's full plan breakdown yet (its pricing page resisted automated reading). Here's what we could confirm. Always check live pricing for exact numbers.
Lifetime license, pay once, use forever
Platform & deployment
Independently observed- CLI
- Web
- Cloud / SaaS
- On-premise
- Self-hosted
Integrations (3)
Independently observed- spaCy
- OpenAI
- PyTorch
Prodigy alternatives
Other data labeling we track, ranked by the same independent score.
- Scale AIDataset preparation and AI model assurance platform for enterprise systemslow · 45%
- CVATA comprehensive data annotation platform designed for computer vision teams to convert raw visual data into training-ready datasetslow · 26%
- iMeritData labeling and model fine-tuning platformlow · 14%
- AppenDeliver human-validated data to train advanced AI systems with nuance and contextual understanding at scalelow · 13%
- Kili TechnologyPlatform for building high-quality training datasets through collaborative annotation and labelingmedium · 55%
- Amazon SageMaker Ground TruthService that helps organizations customize AI models through human feedback and expert guidance to improve accuracy and performance for specific use casesmedium · 54%
The Vioscale score: one lens on the evidence
Not user reviews and not a paid placement: a confidence-weighted blend of the independent signals below (adoption, activity, security posture, and more), which you can sort and re-weight yourself. Vendors can correct their listing but can never move their rank, and stars are weighted low as a vanity metric. It is one way to read the evidence for Prodigy, not the verdict.
| Signal | Score | Weight | Contribution | Evidence |
|---|---|---|---|---|
| Integrations | 17 | 0.04 | 0.7 | ✓ |
| Price level | 0 | 0.05 | 0.0 | - |
| Reliability | 0 | 0.07 | 0.0 | - |
| Capabilities | 0 | 0.05 | 0.0 | - |
| Security posture | 0 | 0.07 | 0.0 | - |
| Pricing transparency | 0 | 0.08 | 0.0 | ✓ |
Computed . Re-weight it by intent, or see the full method.
All data & sourcesshow ↓
Every value we hold, with its source, retrieval date, and confidence. This is the evidence behind the score: don't trust it, verify it.