combust/mleap
MLeap: Deploy ML Pipelines to Production
MLeap helps data scientists and engineers take their machine learning models and data processing steps (pipelines) built in tools like Spark or Scikit-learn, and quickly prepare them for use in production applications. It takes your trained model pipeline and converts it into a lightweight, portable format. This allows developers to easily integrate and run your machine learning predictions without needing the full Spark or Scikit-learn environment, making deployment faster and more efficient.
1,536 stars. Available on PyPI.
Use this if you need to deploy machine learning pipelines trained in Spark or Scikit-learn into production systems as a standalone, lightweight service.
Not ideal if your machine learning models are not built with Spark, Scikit-learn, or TensorFlow, or if you don't intend to deploy them to a production environment.
Stars
1,536
Forks
316
Language
Scala
License
Apache-2.0
Category
Last pushed
Mar 10, 2026
Commits (30d)
0
Dependencies
5
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