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promptfoo

Test your prompts, agents, and RAGs. Red teaming/pentesting/vulnerability scanning for AI. Compare performance of GPT, Claude, Gemini, DeepSeek, and more.

Our verdict

Not reviewed yet

We have not reviewed promptfoo yet

No one at Enterprise DNA has checked this listing against its sources. The description comes from public listings gathered automatically. Any fact below shows where it came from and when it was last checked.

How we review records

From the listing

About promptfoo

promptfoo is a testing framework for evaluating prompts, agents, and RAG systems across multiple LLM providers including GPT, Claude, Gemini, and DeepSeek. It runs comparative benchmarks, red team tests, and vulnerability scans using declarative YAML configs with CLI and CI/CD support.

Best for

Teams building LLM applications who need systematic prompt validation and security testing before deployment

Use cases

  • Compare prompt performance across different LLM models before production
  • Automate security testing and adversarial input scanning for AI applications
  • Integrate prompt evaluation into CI/CD pipelines for continuous quality checks

Notes

21,784 stars on GitHub. Last updated 2026-06-01. Licensed MIT.

Pros

  • Multi-model comparison built in, reducing vendor lock-in risk
  • Red teaming and vulnerability scanning included, not bolted on
  • Declarative config approach makes tests reproducible and version-controllable

Cons

  • Requires familiarity with YAML config syntax and CLI tooling
  • Testing scope limited to prompt and agent behavior, not full application integration
  • Costs scale with API calls to external LLM providers during test runs

Key facts

What we have checked

Latest version
0.125.1 (released 25 Oct 2026)
Checked GitHub
GitHub stars
25,466
Checked github api via nightly crawl, recovered from git history 20e874270887c1008f860ee0198e461a23c9e438

Each value shows when we last confirmed it and where it came from. Values we have not confirmed are left out, never guessed.

Stars and usage

How promptfoo is growing

GitHub stars

21,784 to 25,466

stars. 12 July 2026 to 26 Sept 2026, 2 readings.

Source: github api via nightly crawl, recovered from git history 20e874270887c1008f860ee0198e461a23c9e438. Checked .

Alternatives

Alternatives to promptfoo

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Arize-PhoenixAlternative to thisOpen sourceNamed in the listingNot dated
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GiskardAlternative to thisOpen sourceNamed in the listingNot dated
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OpenAI EvalsAlternative to thisOpen sourceNamed in the listingNot dated
OpikAlternative to thisOpen sourceNamed in the listingNot dated
PromptifyAlternative to thisOpen sourceNamed in the listingNot dated
PromptPerfectAlternative to thisOpen sourceNamed in the listingNot dated
RagasAlternative to thisOpen sourceNamed in the listingNot dated
simple-evalsAlternative to thisOpen sourceNamed in the listingNot dated

Compare

Compare promptfoo side by side

Sources

Where this comes from

  • GitHubOfficial

    Checked · Latest version

  • github api via nightly crawl, recovered from git history 20e874270887c1008f860ee0198e461a23c9e438Registry

    Checked · GitHub stars

A source shows what was published when we checked it. It does not certify security, performance or a working installation. Read our method.

Changelog

What changed

  1. Released 0.125.1

    Source: GitHub

  2. Released 0.125.0

    Source: GitHub

  3. Released code-scan-action-0.2.2

    Source: GitHub

  4. Released 0.124.1

    Source: GitHub

  5. Released code-scan-action-0.2.1

    Source: GitHub

  6. Released 0.124.0

    Source: GitHub

  7. Released 0.123.1

    Source: GitHub

  8. Released 0.123.0

    Source: GitHub

  9. Released code-scan-action-0.2.0

    Source: GitHub

  10. Released 0.122.2

    Source: GitHub

  11. Released 0.122.1

    Source: GitHub

Open-source & AI alternatives

Swap-in tools that solve the same job. Weigh the trade-offs before you commit.

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Arthur Shield

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Open-source toolkit for building, testing, and monitoring AI agents. Version prompts, run experiments, trace workflows, and catch issues before users do.

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Evidently

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Evidently is ​​an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.

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Giskard

Community

🐢 Open-Source Evaluation & Testing library for LLM Agents

★ 5,414
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Guardrails.ai

Community

Learn about Guardrails AI and how it helps build reliable AI applications

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LangWatch

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The platform for LLM evaluations and AI agent testing

★ 3,275
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lm-evaluation-harness

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A framework for few-shot evaluation of language models.

★ 12,772
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OpenAI Evals

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Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.

★ 18,584
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Opik

Community

Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.

★ 19,417
OOSSmediumCatalogue

Promptify

Community

Prompt Engineering | Prompt Versioning | Use GPT or other prompt based models to get structured output. Join our discord for Prompt-Engineering, LLMs and other latest research

★ 4,612
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PromptPerfect

Community

PromptPerfect - AI Prompt Generator and Optimizer

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Ragas

Community

Supercharge Your LLM Application Evaluations 🚀

★ 14,186

Pairs with

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Pairs with10 entries
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