Comparison
AlignLLMHumanSurvey vs align-anything
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.
Markdown twin · AlignLLMHumanSurvey alternatives · align-anything alternatives
GraphCanon updated today
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Trust & integrity
| Signal | AlignLLMHumanSurvey | align-anything |
|---|---|---|
| Maintenance | Dormant (1034d since push) As of today · github_public_v1 | Slowing (226d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Personal account As of today · github_public_v1 | Not a fork · Organization account As of today · github_public_v1 |
| Security (OSV) | No lockfile As of today · none | No lockfile As of today · none |
Tagline
- AlignLLMHumanSurvey
- A survey on aligning large language models with human expectations
- align-anything
- Align Anything: Training All-modality Model with Feedback
Stars
- AlignLLMHumanSurvey
- 742
- align-anything
- 4.7k
Forks
- AlignLLMHumanSurvey
- 30
- align-anything
- 505
Open issues
- AlignLLMHumanSurvey
- 0
- align-anything
- 32
Language
- AlignLLMHumanSurvey
- -
- align-anything
- Python
Adopt for
- AlignLLMHumanSurvey
- 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
- Align Anything is a Python-based framework for training robust multimodal models with feedback from various sources.
Persona
- AlignLLMHumanSurvey
- -
- align-anything
- -
Runtime
- AlignLLMHumanSurvey
- -
- align-anything
- -
License
- AlignLLMHumanSurvey
- -
- align-anything
- Apache-2.0
Last pushed
- AlignLLMHumanSurvey
- Sep 11, 2023
- align-anything
- Nov 27, 2025
Categories
- AlignLLMHumanSurvey
- Model Training, Evaluation & Observability
- align-anything
- Model Training, Computer Vision
Trust and health
Maintenance
- AlignLLMHumanSurvey
- Dormant (18%)
- align-anything
- Slowing (36%)
Days since push
- AlignLLMHumanSurvey
- 1034d
- align-anything
- 226d
Open issues (now)
- AlignLLMHumanSurvey
- 0
- align-anything
- 32
Owner type
- AlignLLMHumanSurvey
- User
- align-anything
- Organization
Full report
- AlignLLMHumanSurvey
- Trust report
- align-anything
- Trust report
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。
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。
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 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (GaryYufei/AlignLLMHumanSurvey) · observed Jul 11, 2026
- GitHub forks (GaryYufei/AlignLLMHumanSurvey) · observed Jul 11, 2026
- Last push (GaryYufei/AlignLLMHumanSurvey) · observed Sep 11, 2023
- License file (unknown) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (PKU-Alignment/align-anything) · observed Jul 11, 2026
- GitHub forks (PKU-Alignment/align-anything) · observed Jul 11, 2026
- Last push (PKU-Alignment/align-anything) · observed Nov 27, 2025
- License file (Apache-2.0) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 9, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: AlignLLMHumanSurvey 742 · align-anything 4.7k (synced Jul 11, 2026).
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 and align-anything alternatives (AlignLLMHumanSurvey markdown twin, align-anything markdown twin), 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 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; align-anything trust report.