--- title: "Open-Prompt-Injection vs PROMPTPurify" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/liu00222-open-prompt-injection-vs-securelayer7-promptpurify" tools: ["liu00222-open-prompt-injection", "securelayer7-promptpurify"] --- # Open-Prompt-Injection vs PROMPTPurify *GraphCanon updated Aug 9, 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 PROMPTPurify if pROMPTPurify, licensed under MIT, provides an ai-safety solution with a focus on jailbreak-detection and prompt-injection-protection for LLM applications without relying on regex or signatures. [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. [PROMPTPurify](https://anton.securelayer7.net) has 75 stars, 20 forks, and 0 open issues, last pushed May 31, 2026. Figures are from public GitHub metadata via [Open-Prompt-Injection's repository](https://github.com/liu00222/Open-Prompt-Injection) and [PROMPTPurify's repository](https://github.com/securelayer7/PROMPTPurify). | | [Open-Prompt-Injection](/tools/liu00222-open-prompt-injection.md) | [PROMPTPurify](/tools/securelayer7-promptpurify.md) | | --- | --- | --- | | Tagline | Benchmark and toolkit for prompt injection attacks and defenses in LLMs | Prompt-injection guardrail for LLM applications | | Stars | 470 | 75 | | Forks | 74 | 20 | | Open issues | 14 | 0 | | 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. | PROMPTPurify, licensed under MIT, provides an ai-safety solution with a focus on jailbreak-detection and prompt-injection-protection for LLM applications without relying on regex or signatures. | | 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) | [PROMPTPurify](/tools/securelayer7-promptpurify.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Steady (60%) | | Days since push | 279d | 70d | | Open issues (now) | 14 | 0 | | Owner type | User | Organization | | Full report | [trust report](/tools/liu00222-open-prompt-injection/trust.md) | [trust report](/tools/securelayer7-promptpurify/trust.md) | ## 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: PROMPTPurify - **Pricing:** freemium - The SDK and model weights of PROMPTPurify come under the MIT license, allowing free usage. However, the full extent of features or services might require a premium setup. - **Requirements:** - This tool is built with TypeScript.; - Ensure familiarity with TypeScript for efficient integration. - **Adopt for:** PROMPTPurify, licensed under MIT, provides an ai-safety solution with a focus on jailbreak-detection and prompt-injection-protection for LLM applications without relying on regex or signatures. ## Choose when ### Choose Open-Prompt-Injection if… - Open-Prompt-Injection is primarily Python; PROMPTPurify 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 PROMPTPurify if… - PROMPTPurify is primarily TypeScript; Open-Prompt-Injection is Python. - Pricing: The SDK and model weights of PROMPTPurify come under the MIT license, allowing free usage. However, the full extent of features or services might require a premium setup.. - Requirements: - This tool is built with TypeScript.; - Ensure familiarity with TypeScript for efficient integration.. - Tags unique to PROMPTPurify: ai safety, ai-firewall, ai-security, application-security. - - When you require compact model solutions that outperform larger open-source guards. ## 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 PROMPTPurify - - Avoid using PROMPTPurify if your project requires regex or signature-based methods for security purposes, as this tool does not support them. - - Do not use it if you are looking for comprehensive AI-security solutions that extend beyond prompt injection and jailbreak detection. ## Common questions ### What is the difference between Open-Prompt-Injection and PROMPTPurify? Open-Prompt-Injection: Benchmark and toolkit for prompt injection attacks and defenses in LLMs. PROMPTPurify: Prompt-injection guardrail for LLM applications. See the comparison table for live GitHub stats and shared categories. ### When should I choose Open-Prompt-Injection over PROMPTPurify? Choose Open-Prompt-Injection over PROMPTPurify when Open-Prompt-Injection is primarily Python; PROMPTPurify 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 PROMPTPurify over Open-Prompt-Injection? Choose PROMPTPurify over Open-Prompt-Injection when PROMPTPurify is primarily TypeScript; Open-Prompt-Injection is Python; Pricing: The SDK and model weights of PROMPTPurify come under the MIT license, allowing free usage. However, the full extent of features or services might require a premium setup.; Requirements: - This tool is built with TypeScript.; - Ensure familiarity with TypeScript for efficient integration.; Tags unique to PROMPTPurify: ai safety, ai-firewall, ai-security, application-security; - When you require compact model solutions that outperform larger open-source guards. ### 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 PROMPTPurify? - Avoid using PROMPTPurify if your project requires regex or signature-based methods for security purposes, as this tool does not support them. - Do not use it if you are looking for comprehensive AI-security solutions that extend beyond prompt injection and jailbreak detection. ### Is Open-Prompt-Injection or PROMPTPurify more popular on GitHub? Open-Prompt-Injection has more GitHub stars (470 vs 75). Stars measure visibility, not whether either tool fits your constraints. ### Are Open-Prompt-Injection and PROMPTPurify open source? Yes - both are open-source projects on GitHub (Open-Prompt-Injection: MIT, PROMPTPurify: MIT). ### Where can I find alternatives to Open-Prompt-Injection or PROMPTPurify? GraphCanon lists graph-backed alternatives at [Open-Prompt-Injection alternatives](/tools/liu00222-open-prompt-injection/alternatives) and [PROMPTPurify alternatives](/tools/securelayer7-promptpurify/alternatives) ([Open-Prompt-Injection markdown twin](/tools/liu00222-open-prompt-injection/alternatives.md), [PROMPTPurify markdown twin](/tools/securelayer7-promptpurify/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-securelayer7-promptpurify.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 PROMPTPurify? Open-Prompt-Injection: Slowing. PROMPTPurify: Steady. 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 PROMPTPurify? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [Open-Prompt-Injection trust report](/tools/liu00222-open-prompt-injection/trust); [PROMPTPurify trust report](/tools/securelayer7-promptpurify/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/_