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
| Feature | EvalGuard | MLflow |
|---|---|---|
| Attack Plugins | 249 | 0 |
| Eval Scorers | 198 | ~12 |
| Model Registry | No | Yes |
| Experiment Tracking | Yes | Yes |
| LLM Firewall | Yes | No |
| Compliance | EU AI Act + ISO | No |
| Open Source | Apache 2.0 | Apache 2.0 |
| SaaS Dashboard | Yes | Databricks only |
| Red Team Testing | Full suite | No |
| LLM Providers | 91 | ~15 |
Why choose EvalGuard over MLflow
- 249 attack plugins — MLflow has zero security testing
- 198 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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