Comparison
Awesome-LLM-Reasoning vs academic-research-skills
Verdict
Pick Awesome-LLM-Reasoning when license: Awesome-LLM-Reasoning is MIT, academic-research-skills is Other; pick academic-research-skills when license: academic-research-skills is Other, Awesome-LLM-Reasoning is MIT.
Markdown twin · Awesome-LLM-Reasoning alternatives · academic-research-skills alternatives
GraphCanon updated today
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Trust & integrity
| Signal | Awesome-LLM-Reasoning | academic-research-skills |
|---|---|---|
| Maintenance | Steady (82d since push) As of today · github_public_v1 | Very active (0d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Personal account As of today · github_public_v1 | Not a fork · Personal account As of today · github_public_v1 |
| Security (OSV) | No lockfile As of today · none | No lockfile As of today · none |
Tagline
- Awesome-LLM-Reasoning
- From Chain-of-Thought prompting to OpenAI o1 and DeepSeek-R1 🍓
- academic-research-skills
- Academic Research Skills for Claude Code: research → write → review → revise → finalize
Stars
- Awesome-LLM-Reasoning
- 3.6k
- academic-research-skills
- 37k
Forks
- Awesome-LLM-Reasoning
- 212
- academic-research-skills
- 3.0k
Open issues
- Awesome-LLM-Reasoning
- 27
- academic-research-skills
- 9
Language
- Awesome-LLM-Reasoning
- -
- academic-research-skills
- Python
Adopt for
- Awesome-LLM-Reasoning
- Awesome-LLM-Reasoning is a curated collection of papers and resources dedicated to enhancing the reasoning abilities of large language models (LLMs) and multimodal large language models (MLLMs). Specifically, it delves深入
- academic-research-skills
- -
Persona
- Awesome-LLM-Reasoning
- -
- academic-research-skills
- -
Runtime
- Awesome-LLM-Reasoning
- -
- academic-research-skills
- -
License
- Awesome-LLM-Reasoning
- MIT
- academic-research-skills
- Other
Last pushed
- Awesome-LLM-Reasoning
- Apr 20, 2026
- academic-research-skills
- Jul 11, 2026
Categories
- Awesome-LLM-Reasoning
- LLM Frameworks
- academic-research-skills
- Data & Retrieval, LLM Frameworks
Trust and health
Maintenance
- Awesome-LLM-Reasoning
- Steady (60%)
- academic-research-skills
- Very active (96%)
Days since push
- Awesome-LLM-Reasoning
- 82d
- academic-research-skills
- 0d
Open issues (now)
- Awesome-LLM-Reasoning
- 27
- academic-research-skills
- 9
Full report
- Awesome-LLM-Reasoning
- Trust report
- academic-research-skills
- Trust report
Choose Awesome-LLM-Reasoning if…
- License: Awesome-LLM-Reasoning is MIT, academic-research-skills is Other.
- Tags unique to Awesome-LLM-Reasoning: awesome, chain-of-thought, chatgpt, cot.
- 你正在寻找关于如何解锁和增强大语言模型(LLMs)和多模态大型语言模型(MLLMs)推理能力的论文和资源时。例如,如果你对理解和测试这些模型的符号推理能力感兴趣,这一资源将非常有用。
When NOT to use Awesome-LLM-Reasoning
- 如果你正在寻找具体的工具或平台来直接进行LLM的训练或推理实现,而不是想要了解技术背后的理论和最近的研究成果。
- 当你寻求的是特定项目的代码库或者实际的应用实例,而非纯粹的研究性和理论性的文献收集和分析时。Awesome-LLM-Reasoning主要聚焦于提供最新的调研文章和资源链接,并不涉及具体的项目实现内容。
Choose academic-research-skills if…
- License: academic-research-skills is Other, Awesome-LLM-Reasoning is MIT.
- Tags unique to academic-research-skills: academic-pipeline, academic-writing, ai-research, claude.
- Also covers Data & Retrieval.
When NOT to use academic-research-skills
- Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough.
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (atfortes/Awesome-LLM-Reasoning) · observed Jul 11, 2026
- GitHub forks (atfortes/Awesome-LLM-Reasoning) · observed Jul 11, 2026
- Last push (atfortes/Awesome-LLM-Reasoning) · observed Apr 20, 2026
- License file (MIT) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (Imbad0202/academic-research-skills) · observed Jul 11, 2026
- GitHub forks (Imbad0202/academic-research-skills) · observed Jul 11, 2026
- Last push (Imbad0202/academic-research-skills) · observed Jul 11, 2026
- License file (Other) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: Awesome-LLM-Reasoning 3.6k · academic-research-skills 37k (synced Jul 11, 2026).
Common questions
- What is the difference between Awesome-LLM-Reasoning and academic-research-skills?
- Awesome-LLM-Reasoning: From Chain-of-Thought prompting to OpenAI o1 and DeepSeek-R1 🍓. academic-research-skills: Academic Research Skills for Claude Code: research → write → review → revise → finalize. See the comparison table for live GitHub stats and shared categories.
- When should I choose Awesome-LLM-Reasoning over academic-research-skills?
- Choose Awesome-LLM-Reasoning over academic-research-skills when License: Awesome-LLM-Reasoning is MIT, academic-research-skills is Other; Tags unique to Awesome-LLM-Reasoning: awesome, chain-of-thought, chatgpt, cot; 你正在寻找关于如何解锁和增强大语言模型(LLMs)和多模态大型语言模型(MLLMs)推理能力的论文和资源时。例如,如果你对理解和测试这些模型的符号推理能力感兴趣,这一资源将非常有用。.
- When should I choose academic-research-skills over Awesome-LLM-Reasoning?
- Choose academic-research-skills over Awesome-LLM-Reasoning when License: academic-research-skills is Other, Awesome-LLM-Reasoning is MIT; Tags unique to academic-research-skills: academic-pipeline, academic-writing, ai-research, claude; Also covers Data & Retrieval.
- When should I avoid Awesome-LLM-Reasoning?
- 如果你正在寻找具体的工具或平台来直接进行LLM的训练或推理实现,而不是想要了解技术背后的理论和最近的研究成果。 当你寻求的是特定项目的代码库或者实际的应用实例,而非纯粹的研究性和理论性的文献收集和分析时。Awesome-LLM-Reasoning主要聚焦于提供最新的调研文章和资源链接,并不涉及具体的项目实现内容。
- When should I avoid academic-research-skills?
- Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- Is Awesome-LLM-Reasoning or academic-research-skills more popular on GitHub?
- academic-research-skills has more GitHub stars (37,300 vs 3,648). Stars measure visibility, not whether either tool fits your constraints.
- Are Awesome-LLM-Reasoning and academic-research-skills open source?
- Yes - both are open-source projects on GitHub (Awesome-LLM-Reasoning: MIT, academic-research-skills: Other).
- Where can I find alternatives to Awesome-LLM-Reasoning or academic-research-skills?
- GraphCanon lists graph-backed alternatives at Awesome-LLM-Reasoning alternatives and academic-research-skills alternatives (Awesome-LLM-Reasoning markdown twin, academic-research-skills 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, Awesome-LLM-Reasoning or academic-research-skills?
- Awesome-LLM-Reasoning: Steady. academic-research-skills: 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 Awesome-LLM-Reasoning and academic-research-skills?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Awesome-LLM-Reasoning trust report; academic-research-skills trust report.