--- title: "LLMDebugger vs CodeT5" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/floridsleeves-llmdebugger-vs-salesforce-codet5" tools: ["floridsleeves-llmdebugger", "salesforce-codet5"] --- # LLMDebugger vs CodeT5 *GraphCanon updated Aug 5, 2026* ## Verdict Pick LLMDebugger if lLMDebugger offers step-by-step verification of runtime execution for large language models; pick CodeT5 if codeT5, an open-source LLM for code understanding and generation under BSD-3-Clause license. [LLMDebugger](https://github.com/FloridSleeves/LLMDebugger) reports 587 GitHub stars, 56 forks, and 5 open issues, last pushed Sep 10, 2024. [CodeT5](https://arxiv.org/abs/2305.07922) has 3.1k stars, 487 forks, and 88 open issues, last pushed Jun 25, 2026. Figures are from public GitHub metadata via [LLMDebugger's repository](https://github.com/FloridSleeves/LLMDebugger) and [CodeT5's repository](https://github.com/salesforce/CodeT5). | | [LLMDebugger](/tools/floridsleeves-llmdebugger.md) | [CodeT5](/tools/salesforce-codet5.md) | | --- | --- | --- | | Tagline | A Large Language Model Debugger verifying runtime execution step by step | Home of CodeT5: Open Code LLMs for Code Understanding and Generation | | Stars | 587 | 3,098 | | Forks | 56 | 487 | | Open issues | 5 | 88 | | Language | Python | Python | | Adopt for | LLMDebugger offers step-by-step verification of runtime execution for large language models. | CodeT5, an open-source LLM for code understanding and generation under BSD-3-Clause license. | | Persona | - | - | | Runtime | - | - | | License | The LLMDebugger is distributed under the Apache-2.0 license. | BSD-3-Clause | | Categories | Developer Tools, Evaluation & Observability | Developer Tools, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [LLMDebugger](/tools/floridsleeves-llmdebugger.md) | [CodeT5](/tools/salesforce-codet5.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Archived (8%) | | Days since push | 693d | 38d | | Archived on GitHub | No | Yes | | Open issues (now) | 5 | 88 | | Owner type | User | Organization | | Full report | [trust report](/tools/floridsleeves-llmdebugger/trust.md) | [trust report](/tools/salesforce-codet5/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: CodeT5 - **Adopt for:** CodeT5, an open-source LLM for code understanding and generation under BSD-3-Clause license. ## Choose when ### Choose LLMDebugger if… - License: LLMDebugger is Apache-2.0, CodeT5 is BSD-3-Clause. - 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. - Also covers Evaluation & Observability. - 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 CodeT5 if… - License: CodeT5 is BSD-3-Clause, LLMDebugger is Apache-2.0. - Tags unique to CodeT5: code generation, code-intelligence, code-understanding, language-model. - Also covers LLM Frameworks. - When focusing on Python projects needing advanced code understanding or generation. ## 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 CodeT5 - If the project requires proprietary licensing protection, given its open-source nature under BSD-3-Clause. - Avoid if real-time performance is a crucial requirement since LLMs typically lag in speed. ## Common questions ### What is the difference between LLMDebugger and CodeT5? LLMDebugger: A Large Language Model Debugger verifying runtime execution step by step. CodeT5: Home of CodeT5: Open Code LLMs for Code Understanding and Generation. See the comparison table for live GitHub stats and shared categories. ### When should I choose LLMDebugger over CodeT5? Choose LLMDebugger over CodeT5 when License: LLMDebugger is Apache-2.0, CodeT5 is BSD-3-Clause; 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; Also covers Evaluation & Observability; 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 CodeT5 over LLMDebugger? Choose CodeT5 over LLMDebugger when License: CodeT5 is BSD-3-Clause, LLMDebugger is Apache-2.0; Tags unique to CodeT5: code generation, code-intelligence, code-understanding, language-model; Also covers LLM Frameworks; When focusing on Python projects needing advanced code understanding or generation. ### 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 CodeT5? If the project requires proprietary licensing protection, given its open-source nature under BSD-3-Clause. Avoid if real-time performance is a crucial requirement since LLMs typically lag in speed. ### Is LLMDebugger or CodeT5 more popular on GitHub? CodeT5 has more GitHub stars (3,098 vs 587). Stars measure visibility, not whether either tool fits your constraints. ### Are LLMDebugger and CodeT5 open source? Yes - both are open-source projects on GitHub (LLMDebugger: Apache-2.0, CodeT5: BSD-3-Clause). ### Where can I find alternatives to LLMDebugger or CodeT5? GraphCanon lists graph-backed alternatives at [LLMDebugger alternatives](/tools/floridsleeves-llmdebugger/alternatives) and [CodeT5 alternatives](/tools/salesforce-codet5/alternatives) ([LLMDebugger markdown twin](/tools/floridsleeves-llmdebugger/alternatives.md), [CodeT5 markdown twin](/tools/salesforce-codet5/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-salesforce-codet5.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, LLMDebugger or CodeT5? LLMDebugger: Dormant. CodeT5: Archived. 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 CodeT5? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [LLMDebugger trust report](/tools/floridsleeves-llmdebugger/trust); [CodeT5 trust report](/tools/salesforce-codet5/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/_