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Iterative removes friction from managing datasets and ML models and introduces seamless data scientists collaboration. Reviews and details

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Reimagining DevOps for ML by Elle O'Brien,


  1. Ryan avatar

    The people at are special.

    Its hard to describe quickly, but if you're a potential client or employee--you could easily go your entire career unaware that groups like this exist.

    Their tools (like DVC) are exceptional, but I write this review because one need only interact with the people there to understand why they're execptional.

    The culture there is one that can only exist when the founding talent is top-tier. The experience you'll have, though, is so much more than that.

    Recommend whole-heatedly.

    ๐Ÿ‘ Pros:    Constantly improving|Quality|Community

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Social recommendations and mentions

We have tracked the following product recommendations or mentions on various public social media platforms and blogs. They can help you see what people think about and what they use it for.
  • Work with Google Drive files locally
    PyDrive2 is am open-source python package maintained by the awesome people at Iterative. And it is very easy to install:. - Source: / about 1 year ago
  • Any MLOps platform you use?
    These three are made by, and seem like very clean implementations of MLOps tooling - especially if you aren't dealing with massive data. Source: about 1 year ago
  • How does your data science team collaborate?
    For what it's worth. (Full disclosure: I'm the community manager at Iterative (DVC, Just wanted to make you aware of our online course (free) that we created specifically for Data Scientists ( We know that bridging the gap between prototype to production/ jupyter notebook to reproducible/software engineering compatible, is a challenge. That's why we created the course. To also... Source: almost 2 years ago
  • Advice about Infra and IaC
    What do you think of tools like dvc or cml? I have no direct experience, but I am looking at setting up something similar to what you need for a personal project. Source: almost 2 years ago
  • TPI - Terraform provider for ML/AI & self-recovering spot-instances
    Hey all, we (at are launching TPI - Terraform Provider Iterative Source: about 2 years ago
  • [D] Why doesnโ€™t your team use an experiment tracking tool?
    In general, I'm pretty impressed with what the folks at have done. I would also give CML a try if it was fully compatible with bitbucket but it isn't yet, unfortunately. Source: over 2 years ago

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