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
MLflow
Top pickOpen sourceThe 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 →
What is MLflow? →93sovereignty - 2
DVC
Open sourceGit for data and pipelines. Reproducibility rather than dashboards.
Free, Apache-2.0. You supply the object storage. · in our Weights & Biases comparison →
What is DVC? →94sovereignty - 3
Aim
Open sourceThe tracking UI people actually enjoy. Fast at thousands of runs.
Free, Apache-2.0. · in our Weights & Biases comparison →
What is Aim? →93sovereignty - 4
ClearML
Open sourceThe 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 →
What is ClearML? →90sovereignty - 5
Determined AI
Open sourceDistributed training and hyperparameter search, self-hosted.
Free and Apache-2.0, self-hosted on your own cluster. · in our Weights & Biases comparison →
What is Determined AI? →89sovereignty
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.