BasicAI vs Prodigy
BasicAI
basic.aiProdigy
prodigy.aiSide by side
| Figure | BasicAI | Prodigy |
|---|---|---|
| Price from | $550/mo | — |
| Free plan | — | — |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | — | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 2 |
| Spec score · AI Image Annotation Tools | 8.0 (#10) | 8.4 (#6) |
| Spec score · AI Data Labeling Tools | 7.9 (#10) | 8.3 (#6) |
| Deployment | BasicAI offers on-premise deployment options, with professional deployment and maintenance services and data kept within the customer’s systems. | The standard Python web server and application can be deployed on any cloud provider or entirely on-premise. |
| Headquarters | Irvine, California, USA | Berlin, Germany |
| Integrations | The platform page says users can import and export data from AWS, Google Drive, and Dropbox. | Prodigy has first-class support for spaCy, plugins for Hugging Face models, and out-of-the-box integrations with major LLM API providers. |
| Product | BasicAI provides a multimodal data annotation platform and managed data annotation services for AI training data. | Prodigy is a downloadable developer tool and Python library for creating training and evaluation data for machine learning models. |
| Support | The company provides technical support and offers a dedicated support plan with its private-cloud deployment. | The product includes documentation and access to a support forum; company licenses also include priority forum and email support. |
Plans
In their own words
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.