Labelbox vs Prodigy
Labelbox
labelbox.comProdigy
prodigy.aiSide by side
| Figure | Labelbox | Prodigy |
|---|---|---|
| Price from | — | — |
| Free plan | — | — |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | — | Yes |
| API | Yes | Yes |
| Self-hosted | — | Yes |
| Plans published | 0 | 2 |
| Spec score · AI Image Annotation Tools | 7.5 (#16) | 8.4 (#6) |
| Spec score · AI Data Labeling Tools | 7.4 (#15) | 8.3 (#6) |
| Founded | 2018 | 2016 |
| Headquarters | San Francisco, California, United States | Berlin, Germany |
| Integrations | Examples of connected apps shown include Slack, GitHub, Linear, Salesforce, Databricks, Google Drive, Box, and Jira. | Prodigy has first-class support for spaCy, plugins for Hugging Face models, and out-of-the-box integrations with major LLM API providers. |
| Security controls | Labelbox says hosted labeled data, metadata, and private user information are encrypted at rest with AES-256 and in transit with TLS 1.2 or later. | Company licenses include HTTP authentication and OpenID Connect SSO, while personal licenses include basic HTTP authentication. |
| Support | The Foundry guide directs users with workflow questions or feedback to submit a support ticket. | The product includes documentation and access to a support forum; company licenses also include priority forum and email support. |
| What it does | Labelbox builds reinforcement learning environments for AI labs and provides Recursion, a platform for enterprises to run fleets of agents. | Prodigy is a developer-oriented annotation tool for creating training and evaluation data for machine-learning systems. |
Plans
In their own words
Labelbox
Labelbox provides tools for AI training data, reinforcement learning environments, evaluations, annotation, and enterprise agent workflows. Its Recursion platform can run fleets of agents across connected applications. Work can start from schedules, alerts, events, or API calls; agents can plan jobs, run specialist agents in parallel, use sandboxes, and return graded results with evidence. Shown integrations include Slack, GitHub, Linear, Salesforce, Databricks, Google Drive, Box, and Jira. Horizon supplies reinforcement-learning environments and evaluations for reasoning, tool use, and computer use. Labelbox Annotate offers more than 10 editors for multimodal chat, LLM evaluation, prompt and response generation, computer vision, and natural language processing. Expert services cover RLHF, supervised fine-tuning, preference ranking, red teaming, and coding or agent tasks. The company says its experts span over 200 domains and 30 languages. A free tier includes 10,000 Labelbox units before card charging. Pricing is otherwise directed to contact.
Prodigy
Prodigy is a downloadable developer tool and Python library for creating training and evaluation data for machine-learning models. Its built-in recipes cover named entity recognition, text classification, computer vision, audio and video annotation, transcription, and model training and evaluation. A customizable web application offers 23 interfaces for work with text, images, audio, video, relations, multiple choice, HTML and conflict resolution. Users can define workflows with Python recipes and create interfaces using HTML, CSS and JavaScript. Prodigy supports spaCy, plugins for Hugging Face models and integrations with major LLM API providers. Data can be stored in SQLite, MySQL or PostgreSQL and exported to JSON. It runs on the user's own machines without connecting to the maker's or third-party servers, including on air-gapped machines. The standard Python web server and app can be deployed in the cloud or on-premise. Personal licensing costs $390, paid once, excluding tax; Company licensing costs $490, paid once per seat in packs of five, excluding tax.