--- title: "Open-Prompt-Injection vs promptfoo" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/liu00222-open-prompt-injection-vs-promptfoo-promptfoo" tools: ["liu00222-open-prompt-injection", "promptfoo-promptfoo"] --- # Open-Prompt-Injection vs promptfoo *GraphCanon updated Aug 5, 2026* ## Verdict Pick Open-Prompt-Injection if open-Prompt-Injection is a Python-based toolkit for benchmarking prompt injection attacks on LLMs, offering customization through config files and support for various LLM APIs; pick promptfoo if promptfoo aids in evaluating AI prompts, LLM agents, and RAG systems through declarative config testing with CI/CD support. [Open-Prompt-Injection](https://github.com/liu00222/Open-Prompt-Injection) reports 470 GitHub stars, 74 forks, and 14 open issues, last pushed Oct 29, 2025. [promptfoo](https://promptfoo.dev) has 24k stars, 2.1k forks, and 481 open issues, last pushed Aug 1, 2026. Figures are from public GitHub metadata via [Open-Prompt-Injection's repository](https://github.com/liu00222/Open-Prompt-Injection) and [promptfoo's repository](https://github.com/promptfoo/promptfoo). | | [Open-Prompt-Injection](/tools/liu00222-open-prompt-injection.md) | [promptfoo](/tools/promptfoo-promptfoo.md) | | --- | --- | --- | | Tagline | Benchmark and toolkit for prompt injection attacks and defenses in LLMs | Tool for evaluating prompts and AI agents by comparing performance across various models and red teaming. | | Stars | 470 | 23,838 | | Forks | 74 | 2,147 | | Open issues | 14 | 481 | | Language | Python | TypeScript | | Adopt for | Open-Prompt-Injection is a Python-based toolkit for benchmarking prompt injection attacks on LLMs, offering customization through config files and support for various LLM APIs. | promptfoo aids in evaluating AI prompts, LLM agents, and RAG systems through declarative config testing with CI/CD support. | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT | | Categories | Evaluation & Observability, LLM Frameworks | Evaluation & Observability, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [Open-Prompt-Injection](/tools/liu00222-open-prompt-injection.md) | [promptfoo](/tools/promptfoo-promptfoo.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Very active (96%) | | Days since push | 279d | 0d | | Open issues (now) | 14 | 481 | | Owner type | User | Organization | | Full report | [trust report](/tools/liu00222-open-prompt-injection/trust.md) | [trust report](/tools/promptfoo-promptfoo/trust.md) | ## Shared compatibility - **Python**: [Open-Prompt-Injection](/tools/liu00222-open-prompt-injection.md) - Python runtime; [promptfoo](/tools/promptfoo-promptfoo.md) - Python runtime ## Decision facts: Open-Prompt-Injection - **Adopt for:** Open-Prompt-Injection is a Python-based toolkit for benchmarking prompt injection attacks on LLMs, offering customization through config files and support for various LLM APIs. ## Decision facts: promptfoo - **Adopt for:** promptfoo aids in evaluating AI prompts, LLM agents, and RAG systems through declarative config testing with CI/CD support. ## Choose when ### Choose Open-Prompt-Injection if… - Open-Prompt-Injection is primarily Python; promptfoo is TypeScript. - Tags unique to Open-Prompt-Injection: llm, llm security, prompt-injection, security-and-privacy. - You prioritize security testing specifically for prompt injection vulnerabilities in your LLM applications. ### Choose promptfoo if… - promptfoo is primarily TypeScript; Open-Prompt-Injection is Python. - Tags unique to promptfoo: ci-cd, evaluation-framework, llm-evaluation, pentesting. - promptfoo ships Docker support for self-hosted deployment. - For comparing performance across GPT, Claude, Gemini, DeepSeek ## When NOT to use Open-Prompt-Injection - You require broader, more generalized security features not centered on prompt injection attacks. - Your project does not involve working with Google PaLM2 or other specific models like Meta's Llama and OpenAI's GPT. ## When NOT to use promptfoo - If you do not require comparative analysis among multiple LLM models - If your project does not benefit from the specific red teaming capabilities offered by promptfoo ## Common questions ### What is the difference between Open-Prompt-Injection and promptfoo? Open-Prompt-Injection: Benchmark and toolkit for prompt injection attacks and defenses in LLMs. promptfoo: Tool for evaluating prompts and AI agents by comparing performance across various models and red teaming.. See the comparison table for live GitHub stats and shared categories. ### When should I choose Open-Prompt-Injection over promptfoo? Choose Open-Prompt-Injection over promptfoo when Open-Prompt-Injection is primarily Python; promptfoo is TypeScript; Tags unique to Open-Prompt-Injection: llm, llm security, prompt-injection, security-and-privacy; You prioritize security testing specifically for prompt injection vulnerabilities in your LLM applications. ### When should I choose promptfoo over Open-Prompt-Injection? Choose promptfoo over Open-Prompt-Injection when promptfoo is primarily TypeScript; Open-Prompt-Injection is Python; Tags unique to promptfoo: ci-cd, evaluation-framework, llm-evaluation, pentesting; promptfoo ships Docker support for self-hosted deployment; For comparing performance across GPT, Claude, Gemini, DeepSeek. ### When should I avoid Open-Prompt-Injection? You require broader, more generalized security features not centered on prompt injection attacks. Your project does not involve working with Google PaLM2 or other specific models like Meta's Llama and OpenAI's GPT. ### When should I avoid promptfoo? If you do not require comparative analysis among multiple LLM models If your project does not benefit from the specific red teaming capabilities offered by promptfoo ### Is Open-Prompt-Injection or promptfoo more popular on GitHub? promptfoo has more GitHub stars (23,838 vs 470). Stars measure visibility, not whether either tool fits your constraints. ### Are Open-Prompt-Injection and promptfoo open source? Yes - both are open-source projects on GitHub (Open-Prompt-Injection: MIT, promptfoo: MIT). ### Where can I find alternatives to Open-Prompt-Injection or promptfoo? GraphCanon lists graph-backed alternatives at [Open-Prompt-Injection alternatives](/tools/liu00222-open-prompt-injection/alternatives) and [promptfoo alternatives](/tools/promptfoo-promptfoo/alternatives) ([Open-Prompt-Injection markdown twin](/tools/liu00222-open-prompt-injection/alternatives.md), [promptfoo markdown twin](/tools/promptfoo-promptfoo/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/liu00222-open-prompt-injection-vs-promptfoo-promptfoo.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, Open-Prompt-Injection or promptfoo? Open-Prompt-Injection: Slowing. promptfoo: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for Open-Prompt-Injection and promptfoo? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [Open-Prompt-Injection trust report](/tools/liu00222-open-prompt-injection/trust); [promptfoo trust report](/tools/promptfoo-promptfoo/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=liu00222-open-prompt-injection`](/api/graphcanon/graph?tool=liu00222-open-prompt-injection) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_