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 FAQ
Common questions about Prodigy, answered from independent, dated evidence.
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. It is indexed under Data Labeling.
Source: https://prodi.gy
What platforms does Prodigy support?
Prodigy supports the web and a command-line interface. Platforms we have not confirmed are simply not listed here rather than ruled out.
Source: https://prodi.gy
Can Prodigy be self-hosted?
Yes. Prodigy can be deployed cloud / SaaS, on-premise and self-hosted, so it does not have to run on the vendor's infrastructure.
Source: https://prodi.gy
What does Prodigy integrate with?
We have confirmed 3 integrations for Prodigy, including spaCy, OpenAI and PyTorch. This is what we could verify from public sources, so the vendor may support others we have not indexed.
Source: https://prodi.gy
Prodigy alternatives
Other data labeling we track, ranked by the same independent score.
- Amazon SageMaker Ground Truthmedium · 71%
- iMeritPlatform for AI training data preparation and model evaluationlow · 26%
- Kili TechnologyA collaborative platform for building and managing high-quality training datasets with AI assistancemedium · 73%
- Scale AIEvaluation infrastructure and benchmarking tools for AI modelslow · 45%
- SuperviselyA collaborative data annotation platform for computer vision and machine learning with AI-assisted labeling.medium · 74%
- AppenCurated human-annotated datasets and AI evaluation services for developing advanced AI systemslow · 39%
Compare Prodigy
Side by side against other data labeling, attribute by attribute, with a source on every value.
The vioscaleAI 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 | 0.8 | ✓ |
| Price level | 0 | 0.04 | 0.0 | - |
| Reliability | 0 | 0.07 | 0.0 | - |
| Capabilities | 0 | 0.04 | 0.0 | - |
| Security posture | 0 | 0.12 | 0.0 | - |
| Pricing transparency | 0 | 0.05 | 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.
Is Prodigy the right choice for you?
Tell us the job, the constraints and what you weigh most, and we will rank Prodigy against the rest of the data labeling we index, using the same dated evidence weighted your way.
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Is this your product?
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