Probabilistic soft logic (PSL) is a machine learning framework for developing probabilistic models. PSL models are easy and fast: you can define them using a straightforward logical syntax and solve them with fast convex optimization. PSL has produced state-of-the-art results in many areas spanning natural language processing, social-network analysis, and computer vision. The PSL framework is available as an Apache-licensed, open source project on GitHub with an active user group for support. Read our Getting Started guide to begin using PSL or learn more about How it Works!