Why do so many people think Python is easier to productionize than R?

This page summarizes the projects mentioned and recommended in the original post on /r/datascience

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  • db-benchmark

    reproducible benchmark of database-like ops

  • BentoML

    The most flexible way to serve AI/ML models in production - Build Model Inference Service, LLM APIs, Inference Graph/Pipelines, Compound AI systems, Multi-Modal, RAG as a Service, and more!

  • Also mlflow is not that optimized because it doesnt microbatch like torchserve/tfserving/bentoml. https://github.com/bentoml/BentoML/tree/master/benchmark

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NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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