MLflow vs Promptfoo
Side-by-side comparison of features, pricing, and ratings
At a glance
| Dimension | MLflow | Promptfoo |
|---|---|---|
| Pricing | Free open source (no usage limits) | Free community (10k probes/mo) + Enterprise |
| Primary Focus | AI engineering & MLOps platform | Automated red teaming & vulnerability detection |
| Deployment | Self-hosted (open source) | SaaS & self-hosted |
| Observability | OpenTelemetry tracing & automatic issue detection | Security monitoring & guardrails |
| Best For | AI engineering teams | Enterprise security teams |
| Latest News | 2026-05-29: v3.13.0 with RBAC & trace archival | 2026-03-09: Joining OpenAI |
Choose Promptfoo if your top priority is automated red teaming and LLM vulnerability detection in production—especially for regulated industries. Choose MLflow if you need a comprehensive open-source platform for agent observability, experiment tracking, and model deployment. Both are free to start, but MLflow's open-source model has no usage caps, while Promptfoo's community edition limits probes per month.
Open source AI engineering platform for building, debugging, and monitoring agents, LLMs, and ML models.
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Who should pick which
- Enterprise security team in financePick: Promptfoo
Promptfoo's automated red teaming covers FINRA-aligned security testing for LLM applications, with CI/CD integration and remediation guidance.
- AI engineering team building agentsPick: MLflow
MLflow offers observability with OpenTelemetry tracing, automatic issue detection, and one-click agent deployment via Agent Server.
- Solo developer prototyping LLM appsPick: MLflow
MLflow is fully free with no usage limits, making it ideal for experimentation without cost concerns.
- Security researcher testing LLM vulnerabilitiesPick: Promptfoo
Promptfoo's community edition provides 10k probes/month for automated red teaming and injection testing.
- Team needing ML experiment tracking + LLM supportPick: MLflow
MLflow unifies traditional ML and LLM workflows, including experiment tracking, model registry, and prompt optimization.
Frequently Asked Questions
MLflow vs Promptfoo: which should you choose?
Choose Promptfoo if your top priority is automated red teaming and LLM vulnerability detection in production—especially for regulated industries. Choose MLflow if you need a comprehensive open-source platform for agent observability, experiment tracking, and model deployment. Both are free to start, but MLflow's open-source model has no usage caps, while Promptfoo's community edition limits probes per month.
Which tool is better for LLM security testing?
Promptfoo is specialized for automated red teaming and vulnerability detection, with security scanning in CI/CD and IDE.
Is MLflow free to use?
Yes, MLflow is fully open source and free, with no usage limits. You only pay for infrastructure if self-hosting.
Does Promptfoo have a free tier?
Yes, the Community edition is free and includes 10,000 probes per month.
Can MLflow trace multimodal inputs?
Yes, as of 2026-04-24, MLflow supports tracing for images, audio, and files.
Which tool integrates with CI/CD?
Both do: Promptfoo integrates with GitHub, GitLab, and Jenkins. MLflow integrates via MLflow Pipelines and can be used in any CI/CD.
Does Promptfoo offer guardrails?
Yes, Promptfoo provides real-time guardrails against adversarial attacks in addition to red teaming.
Has Promptfoo been acquired?
Yes, on 2026-03-09, Promptfoo announced it is joining OpenAI; the open-source project continues.
Does MLflow support RBAC?
Yes, MLflow 3.13.0 (2026-05-29) introduced Role-Based Access Control with an Admin UI.
More MLflow or Promptfoo comparisons
If you need a single open-source platform that covers both traditional ML (experiment tracking, model registry) and LLM agents (tracing, prompt versioning, AI Gateway), choose MLflow. If your primary
Choose Promptfoo if your priority is AI security — automated red teaming, guardrails, and CI/CD scanning against 50+ attack types, backed by recent OpenClaw injection analysis and ModelAudit launch. C
If you're an AI engineering team that needs deep observability, evaluation, and lifecycle management for LLM agents, MLflow is the clear winner—especially since the 3.14.0 update adds one-line agent s
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Last reviewed: May 12, 2026