Open Source

Embrace open standard and open source

We open source multiple prediction libraries about PMML and ONNX standard model exchange formats on GitHub, which help users to use PMML or ONNX for model deployment in multiple languages (Scala, Java, and Python) and execution environments (Spark):

  • AI-Serving: Inferencing system of PMML and ONNX.
  • PyPMML: Python PMML scoring library.
  • PMML4S: PMML scoring library for Scala.
  • PMML4S-Spark: Python PMML scoring library for PySpark as SparkML Transformer.
  • PyPMML-Spark: PMML scoring library for Spark as SparkML Transformer.

AI-Serving

Inferencing system of PMML and ONNX

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Serving AI/ML models in the open standard formats PMML and ONNX with both HTTP (REST API) and gRPC endpoints.

PMML ONNX PMML REST ONNX REST PMML gPRC ONNX gPRC
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PyPMML

Python PMML scoring library

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PyPMML is a Python PMML scoring library, it really is the Python API for PMML4S.

PMML Python PMML
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PMML4S

PMML scoring library for Scala

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PMML4S is a PMML scoring library for Scala. It provides both Scala and Java Evaluator API for PMML.

PMML Scala PMML Java PMML
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PyPMML-Spark

Python PMML scoring library for PySpark as SparkML Transformer

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PyPMML-Spark is a Python PMML scoring library for PySpark as SparkML Transformer, it really is the Python API for PMML4S-Spark.

PMML PySpark PMML
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PMML4S-Spark

PMML scoring library for Spark as SparkML Transformer

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PMML4S-Spark is a PMML scoring library for Spark as SparkML Transformer.

PMML Spark PMML
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