Software

spaCy

  • 590m+ downloads
  • 33k+ GitHub stars
  • 139k+ GitHub projects
  • 680+ contributors

Website GitHub

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

  • 12k+ users
  • 1000+ companies

Website Live Demo

Prodigy is a modern annotation tool for creating training data for machine learning models. It’s 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.

Ellf

  • private beta opened in 2026
  • 10+ workflow modules

Website Waitlist

Ellf is an interactive AI-powered assistant for Natural Language Processing (NLP) and machine learning projects. It integrates with your coding assistant like Claude Code and makes it proficient at planning and developing NLP solutions. The platform lets you plug in your own data-private cluster and makes it easy to execute annotation tasks, auto-annotation agents, training experiments and more, and collaborate on development with your team.

Demos

Demos and visualizations aren’t just eye candy — they’re an essential part of explaining and exploring AI technologies, especially during development. A good visualization lets you understand your model’s behavior and catch obvious problems early.

displaCy Dependency Visualizer

Visualize spaCy’s guess at the syntactic structure of a sentence. Arrows point from children to heads, and are labelled by their relation type.

Prodigy Annotation Tool

Whether you’re working on entity recognition, intent detection or image classification, Prodigy can help you train and evaluate your models faster.

displaCy Named Entity Visualizer

Visualize spaCy’s guess at the named entities in the document. You can filter the displayed types, to only show the annotations you’re interested in.

spaCy v3.0 Trained Pipeline Explorer

Test and compare spaCy’s trained pipelines interactively with widgets for their components, powered by our Streamlit add-on, which you can use to build your own spaCy apps.

Rule-based Matcher Explorer

Test spaCy’s rule-based Matcher by creating token patterns interactively and running them over your text. Explore how spaCy processes your text – and why your pattern matches, or doesn’t.

sense2vec: Semantic Analysis of the Reddit Hivemind

We parsed every comment posted to Reddit in 2015 and 2019, and trained different word2vec models for each year.