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spaCy is a free, open-source library for advanced Natural Language Processing (NLP) in Python. It's designed specifically for production use and helps you build applications that process and "understand" large volumes of text. It can be used to build information extraction or natural language understanding systems, or to pre-process text for deep learning.
Prodigy is an annotation tool so efficient that data scientists can do the annotation themselves, enabling a new level of rapid iteration. Whether you're working on entity recognition, intent detection or image classification, Prodigy can help you train and evaluate your models faster. Stream in your own examples, update your model in real-time and chain models together to build more complex systems.
Prodigy Teams brings a new web-based interface to our successful Prodigy annotation system, to let you coordinate large or long-running projects. Manage a team of in-house annotators, review their progress, measure inter-annotator consistency, and trigger model training automatically – all while keeping your data fully private, and with full support for custom recipes and custom ETL logic.