Python model-management

Open-source Python projects categorized as model-management | Edit details

Top 3 Python model-management Projects

  • MLflow

    Open source platform for the machine learning lifecycle

    Project mention: [D] Tips for ML workflow on raw data | | 2022-01-21
  • metaflow

    :rocket: Build and manage real-life data science projects with ease!

    Project mention: Netflix Metaflow | | 2022-01-23

    The project predates Facebook’s name-change to Meta. That’s gotta be irksome.

    Project site:

  • OPS

    OPS - Build and Run Open Source Unikernels. Quickly and easily build and deploy open source unikernels in tens of seconds. Deploy in any language to any cloud.

  • BentoML

    The Unified Model Serving Framework 🍱

    Project mention: How to Build a Machine Learning Demo in 2022 | | 2022-01-16

    Using a general-purpose framework such as FastAPI involves writing a lot of boilerplate code just to get your API endpoint up and running. If deploying a model for a demo is the only thing you are interested in and you do not mind losing some flexibility, you might want to use a specialized serving framework instead. One example is BentoML, which will allow you to get an optimized serving endpoint for your model up and running much faster and with less overhead than a generic web framework. Framework-specific serving solutions such as Tensorflow Serving and TorchServe typically offer optimized performance but can only be used to serve models trained using Tensorflow or PyTorch, respectively.

NOTE: The open source projects on this list are ordered by number of github stars. The number of mentions indicates repo mentiontions in the last 12 Months or since we started tracking (Dec 2020). The latest post mention was on 2022-01-23.

Python model-management related posts


What are some of the best open-source model-management projects in Python? This list will help you:

Project Stars
1 MLflow 11,127
2 metaflow 5,217
3 BentoML 3,145
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