Weights & Biases vs MLflow — key differences.

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Answer

$MLflow: open-source, self-hosted, tracking + registry + model packaging (MLmodel format).$
$Free.$
$Feels like scaffolding you build on.$
$W&B: SaaS, generous free tier (100GB); superior UI, reports, comparisons, sweeps, artifacts, media logging (images / audio / 3D).$
$Integrations with everything.$
$Paid for private teams.$
$Modern choice: W&B for research + team collab; MLflow for on-prem / regulated / cost-sensitive.$

Check yourself — multiple choice

Same
MLflow: OSS + self-host + tracking/registry/MLmodel + free scaffolding; W&B: SaaS + superior UI/reports/sweeps/artifacts/media + integrations + paid teams; W&B research + MLflow on-prem regulated
Random
Not real

MLflow OSS self-host vs W&B SaaS superior UI; pick by needs.

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