Head-to-head

EvalGuard vs MLflow. 

Open-source ML lifecycle platform with LLM evalMLflow is Databricks' open-source ML lifecycle platform with recently added LLM evaluation capabilities.

7
EvalGuard wins
·
2
Ties
·
1
MLflow 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 MLflow, by the numbers

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

Attack Plugins
EvalGuard0
MLflow0
Eval Scorers
EvalGuard0
MLflow0
LLM Providers
EvalGuard0
MLflow0
FeatureEvalGuardMLflow
Attack Plugins2490
Eval Scorers188~12
Model RegistryNoYes
Experiment TrackingYesYes
LLM FirewallYesNo
ComplianceEU AI Act + ISONo
Open SourceApache 2.0Apache 2.0
SaaS DashboardYesDatabricks only
Red Team TestingFull suiteNo
LLM Providers91~15

Why choose EvalGuard over MLflow

  • 249 attack plugins — MLflow has zero security testing
  • 188 scorers vs ~12 — 14x more evaluation metrics
  • Standalone SaaS — MLflow SaaS requires Databricks
  • LLM Firewall and compliance dashboard
  • 91 LLM providers vs ~15

Where MLflow leads

  • MLflow has mature model registry and deployment
  • MLflow is deeply integrated with Databricks ecosystem
  • MLflow has massive open-source community

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