--- title: "PROMPTPurify vs IB4LLMs" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/securelayer7-promptpurify-vs-zichuan-liu-ib4llms" tools: ["securelayer7-promptpurify", "zichuan-liu-ib4llms"] --- # PROMPTPurify vs IB4LLMs *GraphCanon updated Aug 9, 2026* ## Verdict 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; pick IB4LLMs if iB4LLMs (IBProtector) is an LLM jailbreak defense method using the Information Bottleneck principle to prevent adversarial prompts while preserving key information. [PROMPTPurify](https://anton.securelayer7.net) reports 75 GitHub stars, 20 forks, and 0 open issues, last pushed May 31, 2026. [IB4LLMs](https://zichuan-liu.github.io/projects/IBProtector/index.html) has 25 stars, 2 forks, and 4 open issues, last pushed Nov 7, 2024. Figures are from public GitHub metadata via [PROMPTPurify's repository](https://github.com/securelayer7/PROMPTPurify) and [IB4LLMs's repository](https://github.com/zichuan-liu/IB4LLMs). | | [PROMPTPurify](/tools/securelayer7-promptpurify.md) | [IB4LLMs](/tools/zichuan-liu-ib4llms.md) | | --- | --- | --- | | Tagline | Prompt-injection guardrail for LLM applications | Protecting Your LLMs with Information Bottleneck | | Stars | 75 | 25 | | Forks | 20 | 2 | | Open issues | 0 | 4 | | Language | TypeScript | Python | | 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. | IB4LLMs (IBProtector) is an LLM jailbreak defense method using the Information Bottleneck principle to prevent adversarial prompts while preserving key information. | | Persona | - | - | | Runtime | - | - | | License | MIT | - | | Categories | Evaluation & Observability, LLM Frameworks | Evaluation & Observability, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [PROMPTPurify](/tools/securelayer7-promptpurify.md) | [IB4LLMs](/tools/zichuan-liu-ib4llms.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Dormant (18%) | | Days since push | 70d | 635d | | Open issues (now) | 0 | 4 | | Owner type | Organization | User | | Full report | [trust report](/tools/securelayer7-promptpurify/trust.md) | [trust report](/tools/zichuan-liu-ib4llms/trust.md) | ## 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. ## Decision facts: IB4LLMs - **Pricing:** unknown - License information unavailable; specific model pricing not provided. - **Requirements:** Dependencies include datasets==2.14.5, torch==2.1.1, transformers==4.40.1 among others. - **Adopt for:** IB4LLMs (IBProtector) is an LLM jailbreak defense method using the Information Bottleneck principle to prevent adversarial prompts while preserving key information. ## Choose when ### Choose PROMPTPurify if… - PROMPTPurify is primarily TypeScript; IB4LLMs 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. ### Choose IB4LLMs if… - IB4LLMs is primarily Python; PROMPTPurify is TypeScript. - Pricing: License information unavailable; specific model pricing not provided.. - Requirements: Dependencies include datasets==2.14.5, torch==2.1.1, transformers==4.40.1 among others.. - Tags unique to IB4LLMs: evaluation scripts, finetuning, inference, information bottleneck. - When you need a specialized tool for guarding against jailbreaks in your language models without losing important data. ## 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. ## When NOT to use IB4LLMs - If you require a more generalized model protection approach that does not rely strictly on the Information Bottleneck principle. - When your environment lacks support for specific packages like `fschat==0.2.20` which is crucial and cannot be updated due to potential conflicts. ## Common questions ### What is the difference between PROMPTPurify and IB4LLMs? PROMPTPurify: Prompt-injection guardrail for LLM applications. IB4LLMs: Protecting Your LLMs with Information Bottleneck. See the comparison table for live GitHub stats and shared categories. ### When should I choose PROMPTPurify over IB4LLMs? Choose PROMPTPurify over IB4LLMs when PROMPTPurify is primarily TypeScript; IB4LLMs 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 choose IB4LLMs over PROMPTPurify? Choose IB4LLMs over PROMPTPurify when IB4LLMs is primarily Python; PROMPTPurify is TypeScript; Pricing: License information unavailable; specific model pricing not provided.; Requirements: Dependencies include datasets==2.14.5, torch==2.1.1, transformers==4.40.1 among others.; Tags unique to IB4LLMs: evaluation scripts, finetuning, inference, information bottleneck; When you need a specialized tool for guarding against jailbreaks in your language models without losing important data. ### 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. ### When should I avoid IB4LLMs? If you require a more generalized model protection approach that does not rely strictly on the Information Bottleneck principle. When your environment lacks support for specific packages like `fschat==0.2.20` which is crucial and cannot be updated due to potential conflicts. ### Is PROMPTPurify or IB4LLMs more popular on GitHub? PROMPTPurify has more GitHub stars (75 vs 25). Stars measure visibility, not whether either tool fits your constraints. ### Are PROMPTPurify and IB4LLMs open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to PROMPTPurify or IB4LLMs? GraphCanon lists graph-backed alternatives at [PROMPTPurify alternatives](/tools/securelayer7-promptpurify/alternatives) and [IB4LLMs alternatives](/tools/zichuan-liu-ib4llms/alternatives) ([PROMPTPurify markdown twin](/tools/securelayer7-promptpurify/alternatives.md), [IB4LLMs markdown twin](/tools/zichuan-liu-ib4llms/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/securelayer7-promptpurify-vs-zichuan-liu-ib4llms.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, PROMPTPurify or IB4LLMs? PROMPTPurify: Steady. IB4LLMs: Dormant. 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 PROMPTPurify and IB4LLMs? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [PROMPTPurify trust report](/tools/securelayer7-promptpurify/trust); [IB4LLMs trust report](/tools/zichuan-liu-ib4llms/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=securelayer7-promptpurify`](/api/graphcanon/graph?tool=securelayer7-promptpurify) - 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/_