# Dataloop vs Prodigy

| Attribute | Dataloop | Prodigy |
|---|---|---|
| **Vioscale score** | 50.5 (12% (low)) | 5.6 (15% (low)) |
| deployment.options | - | `{"cloud":true,"on_prem":true,"self_hosted":true}` |
| description.long | Dataloop provides end-to-end data management with built-in automation pipelines and annotation tools, designed to help teams prepare and label data for AI model training and deployment. | 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. |
| features.capabilities | `{"programmatic_labeling":true}` | - |
| integrations.count | - | 3 |
| integrations.list | - | `[{"name":"spaCy"},{"name":"OpenAI"},{"name":"PyTorch"}]` |
| platform.support | `{"cli":true,"web":true}` | `{"cli":true,"web":true}` |
| pricing | - | `{"type":"perpetual","summary":"Lifetime license, pay once, use forever","freeTier":false,"sourceUrl":"https://prodi.gy","retrievedAt":"2026-08-20T12:54:09.466Z"}` |
| pricing.free_tier | - | no |
| pricing.model | - | commercial |
| pricing.price_level | - | unknown |
| pricing.transparent | - | no |
| security.iso27001 | yes | - |
| security.soc2 | yes | - |

## Capabilities (Data Labeling)

| Capability | Dataloop | Prodigy |
|---|:--:|:--:|
| **Capabilities** |  |  |
| Model assisted labeling | - | - |
| Programmatic labeling | ✓ | - |
| Rlhf preference data | - | - |
| On prem private cloud | - | - |
| Open source | - | - |
| SOC2 | - | - |

*Source: Vioscale. Generated 2026-09-01T16:55:07.699Z. "-" = undocumented, not absent.*