MLeap is an open source library that allows Spark ML pipelines to be exported to a portable binary format called MLeap models. This enables fast deployment of ML models without Spark. MLeap models can be loaded and used for inference by any system with the MLeap runtime, and they are over 200 times faster for inference than Spark ML pipelines. The MLeap library consists of MLeap-Spark for building pipelines, MLeap-Runtime for loading models, and MLeap-Core which defines the common model format.