--- title: "LLMDebugger vs PurpleLlama" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/floridsleeves-llmdebugger-vs-meta-llama-purplellama" tools: ["floridsleeves-llmdebugger", "meta-llama-purplellama"] --- # LLMDebugger vs PurpleLlama *GraphCanon updated Aug 5, 2026* ## Verdict Pick LLMDebugger if lLMDebugger offers step-by-step verification of runtime execution for large language models; pick PurpleLlama if purpleLlama provides tools to enhance the security and trust of large language models using MIT licenses for benchmarks and community-specific licenses for safeguard components. [LLMDebugger](https://github.com/FloridSleeves/LLMDebugger) reports 587 GitHub stars, 56 forks, and 5 open issues, last pushed Sep 10, 2024. [PurpleLlama](https://github.com/meta-llama/PurpleLlama) has 4.3k stars, 766 forks, and 80 open issues, last pushed Jul 27, 2026. Figures are from public GitHub metadata via [LLMDebugger's repository](https://github.com/FloridSleeves/LLMDebugger) and [PurpleLlama's repository](https://github.com/meta-llama/PurpleLlama). | | [LLMDebugger](/tools/floridsleeves-llmdebugger.md) | [PurpleLlama](/tools/meta-llama-purplellama.md) | | --- | --- | --- | | Tagline | A Large Language Model Debugger verifying runtime execution step by step | Set of tools to assess and improve LLM security | | Stars | 587 | 4,330 | | Forks | 56 | 766 | | Open issues | 5 | 80 | | Language | Python | Python | | Adopt for | LLMDebugger offers step-by-step verification of runtime execution for large language models. | PurpleLlama provides tools to enhance the security and trust of large language models using MIT licenses for benchmarks and community-specific licenses for safeguard components. | | Persona | - | - | | Runtime | - | - | | License | The LLMDebugger is distributed under the Apache-2.0 license. | Other | | Categories | Developer Tools, Evaluation & Observability | Developer Tools, Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [LLMDebugger](/tools/floridsleeves-llmdebugger.md) | [PurpleLlama](/tools/meta-llama-purplellama.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Active (82%) | | Days since push | 693d | 8d | | Open issues (now) | 5 | 80 | | Owner type | User | Organization | | Full report | [trust report](/tools/floridsleeves-llmdebugger/trust.md) | [trust report](/tools/meta-llama-purplellama/trust.md) | ## Decision facts: LLMDebugger - **Pricing:** freemium - Free for use, based on its open-source nature with an Apache-2.0 license. - **Adopt for:** LLMDebugger offers step-by-step verification of runtime execution for large language models. - **License detail:** The LLMDebugger is distributed under the Apache-2.0 license. ## Decision facts: PurpleLlama - **Adopt for:** PurpleLlama provides tools to enhance the security and trust of large language models using MIT licenses for benchmarks and community-specific licenses for safeguard components. ## Choose when ### Choose LLMDebugger if… - License: LLMDebugger is Apache-2.0, PurpleLlama is Other. - Pricing: Free for use, based on its open-source nature with an Apache-2.0 license.. - Tags unique to LLMDebugger: acl'24, llm debugging, python debugger for ai, runtime verification. - When detailed step-by-step inspection of the runtime behavior of large language models is required, LLMDebugger can provide precise insights into each execution phase. ### Choose PurpleLlama if… - License: PurpleLlama is Other, LLMDebugger is Apache-2.0. - Tags unique to PurpleLlama: benchmarks, evaluations, llm security tools, security. - When you need permissive licenses that fit both research and commercial purposes ## When NOT to use LLMDebugger - Avoid using if you are only interested in higher-level performance metrics rather than the intricate details of runtime behavior, as LLMDebugger emphasizes step-by-step execution. - Not recommended for teams lacking experience with Python or specific to this tool's installation and usage workflow that involves setting up a Conda environment. ## When NOT to use PurpleLlama - If your project requires consistent licensing across all components under one standard license like GPL or Apache-2.0 - When you prefer not to adhere to the Llama Community Licenses for safeguard functionalities ## Common questions ### What is the difference between LLMDebugger and PurpleLlama? LLMDebugger: A Large Language Model Debugger verifying runtime execution step by step. PurpleLlama: Set of tools to assess and improve LLM security. See the comparison table for live GitHub stats and shared categories. ### When should I choose LLMDebugger over PurpleLlama? Choose LLMDebugger over PurpleLlama when License: LLMDebugger is Apache-2.0, PurpleLlama is Other; Pricing: Free for use, based on its open-source nature with an Apache-2.0 license.; Tags unique to LLMDebugger: acl'24, llm debugging, python debugger for ai, runtime verification; When detailed step-by-step inspection of the runtime behavior of large language models is required, LLMDebugger can provide precise insights into each execution phase. ### When should I choose PurpleLlama over LLMDebugger? Choose PurpleLlama over LLMDebugger when License: PurpleLlama is Other, LLMDebugger is Apache-2.0; Tags unique to PurpleLlama: benchmarks, evaluations, llm security tools, security; When you need permissive licenses that fit both research and commercial purposes. ### When should I avoid LLMDebugger? Avoid using if you are only interested in higher-level performance metrics rather than the intricate details of runtime behavior, as LLMDebugger emphasizes step-by-step execution. Not recommended for teams lacking experience with Python or specific to this tool's installation and usage workflow that involves setting up a Conda environment. ### When should I avoid PurpleLlama? If your project requires consistent licensing across all components under one standard license like GPL or Apache-2.0 When you prefer not to adhere to the Llama Community Licenses for safeguard functionalities ### Is LLMDebugger or PurpleLlama more popular on GitHub? PurpleLlama has more GitHub stars (4,330 vs 587). Stars measure visibility, not whether either tool fits your constraints. ### Are LLMDebugger and PurpleLlama open source? Yes - both are open-source projects on GitHub (LLMDebugger: Apache-2.0, PurpleLlama: Other). ### Where can I find alternatives to LLMDebugger or PurpleLlama? GraphCanon lists graph-backed alternatives at [LLMDebugger alternatives](/tools/floridsleeves-llmdebugger/alternatives) and [PurpleLlama alternatives](/tools/meta-llama-purplellama/alternatives) ([LLMDebugger markdown twin](/tools/floridsleeves-llmdebugger/alternatives.md), [PurpleLlama markdown twin](/tools/meta-llama-purplellama/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/floridsleeves-llmdebugger-vs-meta-llama-purplellama.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, LLMDebugger or PurpleLlama? LLMDebugger: Dormant. PurpleLlama: 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 LLMDebugger and PurpleLlama? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [LLMDebugger trust report](/tools/floridsleeves-llmdebugger/trust); [PurpleLlama trust report](/tools/meta-llama-purplellama/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=floridsleeves-llmdebugger`](/api/graphcanon/graph?tool=floridsleeves-llmdebugger) - 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/_