MLflow vs Promptfoo

Side-by-side comparison of features, pricing, and ratings

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At a glance

DimensionMLflowPromptfoo
PricingFree open source (no usage limits)Free community (10k probes/mo) + Enterprise
Primary FocusAI engineering & MLOps platformAutomated red teaming & vulnerability detection
DeploymentSelf-hosted (open source)SaaS & self-hosted
ObservabilityOpenTelemetry tracing & automatic issue detectionSecurity monitoring & guardrails
Best ForAI engineering teamsEnterprise security teams
Latest News2026-05-29: v3.13.0 with RBAC & trace archival2026-03-09: 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.

MLflow
MLflow

Open source AI engineering platform for agents, LLMs, and models.

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Promptfoo
Promptfoo

Automated red teaming to find and fix LLM vulnerabilities in development

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Pricing
Free
Freemium
Plans
$0/mo
$0/mo
Custom
Custom
Popularity
5.9k views
3.4k views
Skill Level
Advanced
Intermediate
API Available
Platforms
WebAPICLI
CLIAPI
Categories
⚙️ Developer Infrastructure
🔒 Security & Privacy
Features
LLM agent observability with OpenTelemetry tracing
Automatic issue detection in traces
Multimodal tracing for images, audio, and files
50+ built-in evaluation metrics and LLM judges
Prompt Registry with versioning and optimization
AI Gateway for unified LLM API access with guardrails
Agent Server for one-command production deployment
Role-Based Access Control (RBAC) with Admin UI
Automatic trace archival to object storage
Experiment tracking and hyperparameter tuning
Model Registry with lineage and deployment
Model evaluation and comparison
Integration with 100+ tools and frameworks
One-click coding agent onboarding
Support for Python, TypeScript/JavaScript, Java, R
Automated red teaming for agents and RAGs
Context-aware attack generation (injections, jailbreaks, PII leaks)
Real-time guardrails against adversarial attacks
CI/CD integration (GitHub, GitLab, Jenkins)
Code scanning in IDE (VS Code, JetBrains) and CI/CD
Model security testing and monitoring
MCP proxy for secure model communication
Evaluations for prompts, models, and RAG pipelines
Remediation guidance in pull requests
SaaS and self-hosted deployment (on-premise available)
Real-time fact-checking with web search in assertions
Red teaming for web-browsing agents (indirect prompt injection)
Scalable from 1 to 100+ applications
Supports 50+ vulnerability types
Community edition with 10k probes/month
Integrations
LangChain
OpenAI
PyTorch
TensorFlow
Scikit-learn
Hugging Face
Transformers
FastAPI
Claude (via AI Gateway)
OpenHands
Hermes Agent
OpenTelemetry
Docker
Google Cloud Storage
GitHub
GitLab
Jenkins
Anthropic
MCP (Model Context Protocol)
Slack (via guardrails)
Jira (via PR remediation)
VS Code (IDE scanning)
JetBrains (IDE scanning)

Feature-by-feature

Promptfoo excels at automated red teaming for agents and RAGs, covering 50+ vulnerability types including injections, jailbreaks, PII leaks, and insecure tool use. It integrates security scanning into CI/CD (GitHub, GitLab, Jenkins) and IDEs (VS Code, JetBrains), provides real-time guardrails, and offers remediation guidance in PRs. Recent news (2026-02-06) adds indirect prompt injection testing for web-browsing agents. MLflow, on the other hand, is a full AI engineering platform with LLM agent observability via OpenTelemetry tracing (including multimodal for images/audio), automatic issue detection (2026-03-24), Prompt Registry for versioning, AI Gateway with guardrails (2026-04-09), and Agent Server for one-command deployment. It also supports traditional ML workflows like experiment tracking and model registry. While Promptfoo focuses on security validation, MLflow provides broader lifecycle management. Both have evaluation capabilities: Promptfoo for security and model evaluations, MLflow with 50+ built-in metrics and LLM judges.

Pricing compared

Promptfoo offers a freemium model: a free Community edition with 10,000 probes per month and Enterprise tiers with higher limits, self-hosted on-premise, and additional support. MLflow is fully free and open source under the Linux Foundation, with no usage limits or feature restrictions. MLflow's tracing and AI Gateway are also free, though self-hosted infrastructure costs apply. For small teams or individual developers, MLflow's unlimited free tier is more attractive. For enterprises needing automated security testing at scale, Promptfoo's paid tiers may be justified by its specialized red teaming and compliance features (e.g., FINRA-aligned). Note that Promptfoo's acquisition by OpenAI (2026-03-09) may signal future pricing changes, but the open-source project continues.

Who should pick which

  • Enterprise security team in finance
    Pick: 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 agents
    Pick: MLflow

    MLflow offers observability with OpenTelemetry tracing, automatic issue detection, and one-click agent deployment via Agent Server.

  • Solo developer prototyping LLM apps
    Pick: MLflow

    MLflow is fully free with no usage limits, making it ideal for experimentation without cost concerns.

  • Security researcher testing LLM vulnerabilities
    Pick: Promptfoo

    Promptfoo's community edition provides 10k probes/month for automated red teaming and injection testing.

  • Team needing ML experiment tracking + LLM support
    Pick: MLflow

    MLflow unifies traditional ML and LLM workflows, including experiment tracking, model registry, and prompt optimization.

Frequently Asked Questions

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.

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