Metaflow Alternatives

Similar projects and alternatives to metaflow

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a better metaflow alternative or higher similarity.

metaflow reviews and mentions

Posts with mentions or reviews of metaflow. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-03-25.
  • Needs advice for choosing tools for my team. We use AWS.
    2 projects | | 25 Mar 2023
    1) I've been looking into [Metaflow](, which connects nicely to AWS, does a lot of heavy lifting for you, including scheduling.
  • Selfhosted chatGPT with local contente
    3 projects | | 24 Feb 2023
    even for people who don't have an ML background there's now a lot of very fully-featured model deployment environments that allow self-hosting (kubeflow has a good self-hosting option, as do mlflow and metaflow), handle most of the complicated stuff involved in just deploying an individual model, and work pretty well off the shelf.
  • [OC] Gender diversity in Tech companies
    3 projects | | 16 Jan 2023
    They had to figure out video compression that worked at the volume that they wanted to deliver. They had to build and maintain their own CDN to be able to have a always available and consistent viewing experience. Don’t even get me started on the resiliency tools like hystrix that they were kind enough to open source. I mean, they have their own fucking data science framework and they’re looking into using neural networks to downscale video.. Sound familiar? That’s cause that’s practically the same thing as Nvidia’s DLSS (which upscales instead of downscales).
  • Model artifacts mess and how to deal with it?
    2 projects | | 19 Aug 2022
    Check out Metaflow by Netflix
  • Going to Production with Github Actions, Metaflow and AWS SageMaker
    3 projects | | 13 Aug 2022
    Github Actions, Metaflow and AWS SageMaker are awesome technologies by themselves however they are seldom used together in the same sentence, even less so in the same Machine Learning project.
  • Small to Reasonable Scale MLOps - An Approach to Effective and Scalable MLOps when you're not a Giant like Google
    5 projects | | 28 Jul 2022
    It's undeniable that leadership is instrumental in any company and project success, however I was intrigued with one of their ML tool choices that helped them reach their goal. I was so curious about this choice that I just had to learn more about it, so in this article will be talking about a sound strategy of effectively scaling your AI/ML undertaking and a tool that makes this possible - Metaflow.
  • Building real world recommendation systems at scale
    2 projects | | 11 Apr 2022
  • DevOps Fundamentals for Deep Learning Engineers
    6 projects | | 20 Feb 2022
    MLOps is a HUGE area to explore, and not surprisingly, there are many startups showing up in this space. If you want to get it on the latest trends, then I would look at workflow orchestration frameworks such as Metaflow (started off at Netflix, is now spinning off into its own enterprise business,, Kubeflow (used at Google,, Airflow (used at Airbnb,, and Luigi (used at Spotify, Then you have the model serving itself, so there is Seldon (, Torchserve (, and TensorFlow Serving ( You also have the actual export and transfer of DL models, and ONNX is the most popular here ( Spark ( still holds up nicely after all these years, especially if you are doing batch predictions on massive amount of data. There is also the GitFlow way of doing things and Data Version Control (DVC, is taken a pole position there.
  • Netflix Metaflow
    2 projects | | 23 Jan 2022
    The project predates Facebook’s name-change to Meta. That’s gotta be irksome.

    Project site:

    2 projects | | 23 Jan 2022
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