--- title: "AlignLLMHumanSurvey vs align-anything" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/garyyufei-alignllmhumansurvey-vs-pku-alignment-align-anything" tools: ["garyyufei-alignllmhumansurvey", "pku-alignment-align-anything"] --- # AlignLLMHumanSurvey vs align-anything *GraphCanon updated Jul 12, 2026* ## Verdict Pick AlignLLMHumanSurvey if alignLLMHumanSurvey is a survey repository aggregating resources and research on aligning large language models with human expectations through various methodologies like data collection, training techniques, and model评价; pick align-anything if align Anything is a Python-based framework for training robust multimodal models with feedback from various sources. [AlignLLMHumanSurvey](https://arxiv.org/abs/2307.12966) reports 742 GitHub stars, 30 forks, and 0 open issues, last pushed Sep 11, 2023. [align-anything](https://github.com/PKU-Alignment/align-anything) has 4.7k stars, 505 forks, and 32 open issues, last pushed Nov 27, 2025. Figures are from public GitHub metadata via [AlignLLMHumanSurvey's repository](https://github.com/GaryYufei/AlignLLMHumanSurvey) and [align-anything's repository](https://github.com/PKU-Alignment/align-anything). | | [AlignLLMHumanSurvey](/tools/garyyufei-alignllmhumansurvey.md) | [align-anything](/tools/pku-alignment-align-anything.md) | | --- | --- | --- | | Tagline | A survey on aligning large language models with human expectations | Align Anything: Training All-modality Model with Feedback | | Stars | 742 | 4,664 | | Forks | 30 | 505 | | Open issues | 0 | 32 | | Language | - | Python | | Adopt for | AlignLLMHumanSurvey is a survey repository aggregating resources and research on aligning large language models with human expectations through various methodologies like data collection, training techniques, and model评价 | Align Anything is a Python-based framework for training robust multimodal models with feedback from various sources. | | Persona | - | - | | Runtime | - | - | | License | - | Apache-2.0 | | Categories | Model Training, Evaluation & Observability | Model Training, Computer Vision | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [AlignLLMHumanSurvey](/tools/garyyufei-alignllmhumansurvey.md) | [align-anything](/tools/pku-alignment-align-anything.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Slowing (36%) | | Days since push | 1034d | 226d | | Open issues (now) | 0 | 32 | | Owner type | User | Organization | | Full report | [trust report](/tools/garyyufei-alignllmhumansurvey/trust.md) | [trust report](/tools/pku-alignment-align-anything/trust.md) | ## Decision facts: AlignLLMHumanSurvey - **Adopt for:** AlignLLMHumanSurvey is a survey repository aggregating resources and research on aligning large language models with human expectations through various methodologies like data collection, training techniques, and model评价 ## Decision facts: align-anything - **Requirements:** Min 8 GB RAM; Some functionalities may require additional dependencies or libraries to be installed separately.; Python environment with necessary packages for multimodal processing and large language model training. - **Adopt for:** Align Anything is a Python-based framework for training robust multimodal models with feedback from various sources. ## Choose when ### Choose AlignLLMHumanSurvey if… - Tags unique to AlignLLMHumanSurvey: chinese-llama, awesome, llms, llama. - Also covers Evaluation & Observability. - 当您需要全面了解将大型语言模型与人类期望对齐的技术和方法时，可以使用AlignLLMHumanSurvey，它涵盖了数据收集、训练方法和模型评估等多个方面。 ### Choose align-anything if… - Requirements: Min 8 GB RAM; Some functionalities may require additional dependencies or libraries to be installed separately.; Python environment with necessary packages for multimodal processing and large language model training.. - Tags unique to align-anything: rlhf, python, vision-language-model, chameleon. - Also covers Computer Vision. - align-anything ships Docker support for self-hosted deployment. - When you need to train large language models or vision-language tasks and require the ability to integrate feedback from different modalities to enhance model performance. ## When NOT to use AlignLLMHumanSurvey - 当您需要具体的技术实现代码或工具箱时，请勿使用AlignLLMHumanSurvey，因为它仅仅是一个汇总知识的调研文档，不提供具体的编程实现细节。 - 如果您正在寻找特定模型的性能评估数据或者准备在实际项目中直接应用某种对齐技术，则这个资源可能不会满足您的需求，因为它更侧重于理论和调查研究。 ## When NOT to use align-anything - When your project strictly focuses on unimodal tasks where feedback from multiple modalities is not beneficial. - If the project requires real-time inference without the need for complex feedback loops which could slow down the model training process. ## Common questions ### What is the difference between AlignLLMHumanSurvey and align-anything? AlignLLMHumanSurvey: A survey on aligning large language models with human expectations. align-anything: Align Anything: Training All-modality Model with Feedback. See the comparison table for live GitHub stats and shared categories. ### When should I choose AlignLLMHumanSurvey over align-anything? Choose AlignLLMHumanSurvey over align-anything when Tags unique to AlignLLMHumanSurvey: chinese-llama, awesome, llms, llama; Also covers Evaluation & Observability; 当您需要全面了解将大型语言模型与人类期望对齐的技术和方法时，可以使用AlignLLMHumanSurvey，它涵盖了数据收集、训练方法和模型评估等多个方面。. ### When should I choose align-anything over AlignLLMHumanSurvey? Choose align-anything over AlignLLMHumanSurvey when Requirements: Min 8 GB RAM; Some functionalities may require additional dependencies or libraries to be installed separately.; Python environment with necessary packages for multimodal processing and large language model training.; Tags unique to align-anything: rlhf, python, vision-language-model, chameleon; Also covers Computer Vision; align-anything ships Docker support for self-hosted deployment; When you need to train large language models or vision-language tasks and require the ability to integrate feedback from different modalities to enhance model performance. ### When should I avoid AlignLLMHumanSurvey? 当您需要具体的技术实现代码或工具箱时，请勿使用AlignLLMHumanSurvey，因为它仅仅是一个汇总知识的调研文档，不提供具体的编程实现细节。 如果您正在寻找特定模型的性能评估数据或者准备在实际项目中直接应用某种对齐技术，则这个资源可能不会满足您的需求，因为它更侧重于理论和调查研究。 ### When should I avoid align-anything? When your project strictly focuses on unimodal tasks where feedback from multiple modalities is not beneficial. If the project requires real-time inference without the need for complex feedback loops which could slow down the model training process. ### Is AlignLLMHumanSurvey or align-anything more popular on GitHub? align-anything has more GitHub stars (4,664 vs 742). Stars measure visibility, not whether either tool fits your constraints. ### Are AlignLLMHumanSurvey and align-anything open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to AlignLLMHumanSurvey or align-anything? GraphCanon lists graph-backed alternatives at [AlignLLMHumanSurvey alternatives](/tools/garyyufei-alignllmhumansurvey/alternatives) and [align-anything alternatives](/tools/pku-alignment-align-anything/alternatives) ([AlignLLMHumanSurvey markdown twin](/tools/garyyufei-alignllmhumansurvey/alternatives.md), [align-anything markdown twin](/tools/pku-alignment-align-anything/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/garyyufei-alignllmhumansurvey-vs-pku-alignment-align-anything.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, AlignLLMHumanSurvey or align-anything? AlignLLMHumanSurvey: Dormant. align-anything: Slowing. 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 AlignLLMHumanSurvey and align-anything? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [AlignLLMHumanSurvey trust report](/tools/garyyufei-alignllmhumansurvey/trust); [align-anything trust report](/tools/pku-alignment-align-anything/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=garyyufei-alignllmhumansurvey`](/api/graphcanon/graph?tool=garyyufei-alignllmhumansurvey) - 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/_