Kogito Runtimes is a cloud-native business automation technology for building cloud-ready business applications
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Updated
Feb 20, 2026 - Java
Kogito Runtimes is a cloud-native business automation technology for building cloud-ready business applications
REST web service for the true real-time scoring (<1 ms) of Scikit-Learn, R and Apache Spark models
Apache KIE Examples repository with showcases on how to use Kogito, Drools, SonataFlow
Nyoka is a Python library that helps to export ML models into PMML (PMML 4.4.1 Standard).
Serving AI/ML models in the open standard formats PMML and ONNX with both HTTP (REST API) and gRPC endpoints
Go Scoring API for PMML
flink-jpmml is a fresh-made library for dynamic real time machine learning predictions built on top of PMML standard models and Apache Flink streaming engine
Python PMML scoring library
A library to parse and convert PMML models into Scikit-learn estimators.
Ruby Scoring API for PMML
Code and presentation for Strata Model Serving tutorial
PMML scoring library for Scala
An umbrella project for multiple implementations of model serving
JPMML-SparkML plugin for converting LightGBM-Spark models to PMML
Apache KIE documentation repository for Kogito
cPMML is C++ library for scoring machine learning models serialized with the Predictive Model Markup Language (PMML)
Titus 2 : Portable Format for Analytics (PFA) implementation for Python 3.4+
PMML scoring library for Spark as SparkML Transformer
Python PMML scoring library for PySpark as SparkML Transformer
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