Head-to-head

EvalGuard vs Weights & Biases. 

ML experiment tracking platform with LLM featuresWeights & Biases (W&B) is the leading ML experiment tracking platform with recent LLM evaluation features via Weave.

8
EvalGuard wins
·
2
Weights & Biases wins

Competitor data (GitHub stars, downloads, feature counts, funding / acquisition status) verified as of 2026-04-28. EvalGuard's own counts are sourced live from the drift-checked registry.

Coverage at a glance

EvalGuard vs Weights & Biases, by the numbers

Where both platforms publish a number, here's the gap. Our values come straight from the drift-checked registry; Weights & Biases's are quoted as published.

Attack Plugins
EvalGuard0
Weights & Biases0
Eval Scorers
EvalGuard0
Weights & Biases0
FeatureEvalGuardWeights & Biases
Attack Plugins2490
Eval Scorers188~10 (Weave)
Experiment TrackingYesBest-in-class
Model RegistryNoYes
LLM FirewallYesNo
ComplianceEU AI Act + ISONo
Open SourceApache 2.0Partial (Weave)
Red Team TestingFull suiteNo
Prompt RegistryRegistry + DiffNo
Self-HostedHelm + DockerEnterprise only

Why choose EvalGuard over Weights & Biases

  • 249 attack plugins — W&B has zero security testing
  • 188 eval scorers vs ~10 in Weave
  • Compliance dashboard — W&B has none
  • LLM Firewall for production protection
  • Fully open source under Apache 2.0 license

Where Weights & Biases leads

  • W&B has best-in-class experiment tracking and visualization
  • W&B has deeper model registry and artifact management
  • W&B has massive ML community adoption

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