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SPECIFICTION
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garak vs Promptfoo

garak

garak.ai

Promptfoo

promptfoo.dev

Side by side

FiguregarakPromptfoo
Price fromFreeFree
Free planYesYes
Free trial——
Open source—Yes
Web—Yes
WindowsYesYes
macOSYesYes
LinuxYesYes
API—Yes
Self-hostedYesYes
Plans published13
Spec score · AI Red Teaming Tools7.9 (#9)8.6 (#4)
Spec score · LLM Evaluation Tools7.8 (#12)8.4 (#6)
Spec score · AI Security Testing Tools7.8 (#15)8.5 (#6)
Deploymentgarak is a command-line tool developed in Linux and OSX and can be installed with pip or from source.The Community plan can run locally or be self-hosted, while Enterprise includes managed cloud deployment and On-Premise supports deployment on the customer’s infrastructure.
IntegrationsThe project lists support for OpenAI, Hugging Face, Cohere, Replicate, AWS Bedrock, LiteLLM, REST-accessible models, and custom Python integrations.Documented integrations include LangChain, LangGraph, CrewAI, MCP, Splunk, Burp Suite, GitHub Actions, GitLab, Jenkins, CircleCI, Azure Pipelines, and Bitbucket Pipelines.
SupportThe project points users to its user guide, reference documentation, Discord, GitHub issues, and an NVIDIA email address for support.Community support is provided through chat and GitHub issues, while Enterprise includes professional services and dedicated Slack support.

Plans

garak

  • FreeFree

garak pricing →

Promptfoo

  • CommunityFree
  • EnterprisePriced on request
  • On-PremisePriced on request

Promptfoo pricing →

In their own words

garak

garak is a command-line scanner for probing language models and systems that use them for security weaknesses. Its checks cover issues such as hallucination, data leakage, prompt injection, misinformation, toxicity generation, and jailbreaks. Probes try to elicit failures, while detectors inspect responses for patterns such as unsafe content or a failure to refuse. A standard scan can run without supervision and produce a report, with scan settings available for customization. Integrations include OpenAI, Hugging Face, Cohere, Replicate, AWS Bedrock, LiteLLM, REST-accessible models, and custom Python integrations. Hugging Face models can run locally or be accessed through an inference API or private endpoint. Output includes screen results, a detailed report log, a hit log, and a debug log. garak assesses text output only. It is developed in Linux and OSX and can be installed with pip or from source; listed platforms include Linux, macOS, Windows, and self-hosted use. It is free, with a free plan and no free trial. Listed capabilities include custom metrics, LLM-as-a-judge, and safety evaluations.

Visit garak.ai

Promptfoo

Promptfoo helps developers and enterprises evaluate prompts and test AI applications for security risks. It compares prompt outputs across multiple models in a web view. Red-team testing simulates users to look for prompt injections, jailbreaks, data leaks, business rule violations and insecure agent tool use. Its getting-started guide lists more than 60 providers, including OpenAI, Anthropic, Google and local models such as Ollama. Integrations include CI systems such as GitHub Actions, GitLab CI, Jenkins, Azure Pipelines, CircleCI and Bitbucket Pipelines, plus Splunk, Burp Suite, Google Sheets and MCP. Installation is available through npm, npx or Homebrew. Promptfoo requires Node.js 22.22.0 or newer and recommends Node.js 24 LTS. The free Community plan includes all LLM evaluation features and 10k red-team probes per month, and can run locally or be self-hosted. Enterprise includes managed cloud deployment; On-Premise runs on customer infrastructure. Promptfoo says it is based in San Francisco, is now part of OpenAI and remains open source.

Visit promptfoo.dev