Overview
Prodigy is a developer-focused annotation tool designed to streamline the process of creating training and evaluation data for machine learning models. It emphasizes customization and control, allowing users to define custom data feeds, interfaces, and workflows using Python. Prodigy integrates tightly with spaCy and offers plugins for Hugging Face models, supporting a range of tasks from named entity recognition to text classification. It provides a self-hosted environment, ensuring data privacy and enabling operation on air-gapped machines. The tool facilitates active learning, enabling models to assist in the annotation process, which can significantly increase annotation efficiency. The 'recipes' feature allows developers to define custom workflows and integrate third-party libraries. Data is stored in open formats like SQLite, MySQL, or PostgreSQL, ensuring no vendor lock-in.