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About

How we rank & score
Best of · 5 tools ranked

The best Experiment Tracking & ML Ops

Every option ranked — open-source, self-hostable, and commercial — by our transparent Sovereignty Score, with honest trade-offs so you choose what fits you, not us.

The record of what you trained, on what data, with which hyperparameters, and how it scored. Cheap to add early, painful to reconstruct later, and priced per seat by every managed option.

L4Models & tooling — layer 4 of the AI stack
  1. 1

    MLflow

    Top pickOpen source

    The open standard. Tracking, registry, projects and deployment in one.

    Free, Apache-2.0. Managed versions are sold by the clouds if you want one. · in our Weights & Biases comparison →

    93
    sovereignty
    What is MLflow? →
  2. 2

    DVC

    Open source

    Git for data and pipelines. Reproducibility rather than dashboards.

    Free, Apache-2.0. You supply the object storage. · in our Weights & Biases comparison →

    94
    sovereignty
    What is DVC? →
  3. 3

    Aim

    Open source

    The tracking UI people actually enjoy. Fast at thousands of runs.

    Free, Apache-2.0. · in our Weights & Biases comparison →

    93
    sovereignty
    What is Aim? →
  4. 4

    ClearML

    Open source

    The most complete open platform — tracking, orchestration and data together.

    Free self-hosted, Apache-2.0; a hosted tier with paid plans is also offered. · in our Weights & Biases comparison →

    90
    sovereignty
    What is ClearML? →
  5. 5

    Determined AI

    Open source

    Distributed training and hyperparameter search, self-hosted.

    Free and Apache-2.0, self-hosted on your own cluster. · in our Weights & Biases comparison →

    89
    sovereignty
    What is Determined AI? →

Replacing a specific tool?

Head-to-head comparisons for each popular experiment tracking & ml ops product.

Straight head-to-heads

Two experiment tracking & ml ops tools, side by side — verified facts and a plain verdict.

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