--- title: "AutoAudit vs LlamaFactory" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/ddzipp-autoaudit-vs-hiyouga-llamafactory" tools: ["ddzipp-autoaudit", "hiyouga-llamafactory"] --- # AutoAudit vs LlamaFactory *GraphCanon updated Jul 11, 2026* ## Verdict Pick AutoAudit when autoAudit is primarily HTML; LlamaFactory is Python; pick LlamaFactory when llamaFactory is primarily Python; AutoAudit is HTML. [AutoAudit](https://github.com/ddzipp/AutoAudit) reports 355 GitHub stars, 38 forks, and 4 open issues, last pushed Feb 28, 2025. [LlamaFactory](https://llamafactory.readthedocs.io) has 73k stars, 8.9k forks, and 1.1k open issues, last pushed Jul 10, 2026. Figures are from public GitHub metadata via [AutoAudit's repository](https://github.com/ddzipp/AutoAudit) and [LlamaFactory's repository](https://github.com/hiyouga/LlamaFactory). | | [AutoAudit](/tools/ddzipp-autoaudit.md) | [LlamaFactory](/tools/hiyouga-llamafactory.md) | | --- | --- | --- | | Tagline | AutoAudit—— the LLM for Cyber Security 网络安全大语言模型 | Unified Efficient Fine-Tuning of 100+ LLMs & VLMs | | Stars | 355 | 73,157 | | Forks | 38 | 8,937 | | Open issues | 4 | 1,067 | | Language | HTML | Python | | Adopt for | - | LlamaFactory is a sophisticated tool for fine-tuning numerous large language models and visual language models efficiently using various methods such as LoRA, QLoRA, RLHF, and quantization. | | Persona | - | - | | Runtime | - | - | | License | MIT | Apache-2.0 | | Categories | LLM Frameworks, Model Training | LLM Frameworks, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [AutoAudit](/tools/ddzipp-autoaudit.md) | [LlamaFactory](/tools/hiyouga-llamafactory.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Very active (96%) | | Days since push | 498d | 0d | | Open issues (now) | 4 | 1.1k | | Full report | [trust report](/tools/ddzipp-autoaudit/trust.md) | [trust report](/tools/hiyouga-llamafactory/trust.md) | ## Decision facts: LlamaFactory - **Adopt for:** LlamaFactory is a sophisticated tool for fine-tuning numerous large language models and visual language models efficiently using various methods such as LoRA, QLoRA, RLHF, and quantization. ## Choose when ### Choose AutoAudit if… - AutoAudit is primarily HTML; LlamaFactory is Python. - License: AutoAudit is MIT, LlamaFactory is Apache-2.0. - Tags unique to AutoAudit: cyber-security, html, llama, lora. ### Choose LlamaFactory if… - LlamaFactory is primarily Python; AutoAudit is HTML. - License: LlamaFactory is Apache-2.0, AutoAudit is MIT. - Tags unique to LlamaFactory: agent, ai, deepseek, gemma. - When you need to fine-tune over 100 different LLMs or VLMs with efficient methods like LoRA or QLoRA. ## When NOT to use AutoAudit - Last GitHub push was 499 days ago (dormant maintenance, Feb 28, 2025). Validate activity before betting a new project on AutoAudit. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. - Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. ## When NOT to use LlamaFactory - When you are looking to fine-tune less popular or niche models that are not supported within the 100+ models covered by LlamaFactory. - If your project specifically requires custom fine-tuning methods not available in this repository, such as certain versions of PEFT (Parameter Efficient Fine-Tuning) techniques excluding LoRA and QLoa ## Common questions ### What is the difference between AutoAudit and LlamaFactory? AutoAudit: AutoAudit—— the LLM for Cyber Security 网络安全大语言模型. LlamaFactory: Unified Efficient Fine-Tuning of 100+ LLMs & VLMs. See the comparison table for live GitHub stats and shared categories. ### When should I choose AutoAudit over LlamaFactory? Choose AutoAudit over LlamaFactory when AutoAudit is primarily HTML; LlamaFactory is Python; License: AutoAudit is MIT, LlamaFactory is Apache-2.0; Tags unique to AutoAudit: cyber-security, html, llama, lora. ### When should I choose LlamaFactory over AutoAudit? Choose LlamaFactory over AutoAudit when LlamaFactory is primarily Python; AutoAudit is HTML; License: LlamaFactory is Apache-2.0, AutoAudit is MIT; Tags unique to LlamaFactory: agent, ai, deepseek, gemma; When you need to fine-tune over 100 different LLMs or VLMs with efficient methods like LoRA or QLoRA. ### When should I avoid AutoAudit? Last GitHub push was 499 days ago (dormant maintenance, Feb 28, 2025). Validate activity before betting a new project on AutoAudit. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. ### When should I avoid LlamaFactory? When you are looking to fine-tune less popular or niche models that are not supported within the 100+ models covered by LlamaFactory. If your project specifically requires custom fine-tuning methods not available in this repository, such as certain versions of PEFT (Parameter Efficient Fine-Tuning) techniques excluding LoRA and QLoa ### Is AutoAudit or LlamaFactory more popular on GitHub? LlamaFactory has more GitHub stars (73,157 vs 355). Stars measure visibility, not whether either tool fits your constraints. ### Are AutoAudit and LlamaFactory open source? Yes - both are open-source projects on GitHub (AutoAudit: MIT, LlamaFactory: Apache-2.0). ### Where can I find alternatives to AutoAudit or LlamaFactory? GraphCanon lists graph-backed alternatives at [AutoAudit alternatives](/tools/ddzipp-autoaudit/alternatives) and [LlamaFactory alternatives](/tools/hiyouga-llamafactory/alternatives) ([AutoAudit markdown twin](/tools/ddzipp-autoaudit/alternatives.md), [LlamaFactory markdown twin](/tools/hiyouga-llamafactory/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/ddzipp-autoaudit-vs-hiyouga-llamafactory.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, AutoAudit or LlamaFactory? AutoAudit: Dormant. LlamaFactory: 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 AutoAudit and LlamaFactory? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [AutoAudit trust report](/tools/ddzipp-autoaudit/trust); [LlamaFactory trust report](/tools/hiyouga-llamafactory/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=ddzipp-autoaudit`](/api/graphcanon/graph?tool=ddzipp-autoaudit) - 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/_