Comparison
Reading_groups vs Awesome-LLM-in-Social-Science
Verdict
Pick Reading_groups if 用于跟踪、整理和学习大规模语言模型相关的文章、课程材料和实验演示，适用于希望了解最新技术进展、优化策略、应用案例以及深度分析的研究者。; pick Awesome-LLM-in-Social-Science if curate research papers on LLM applications in social science, covering topics like alignment, economics, policy, psychology, and more.
Markdown twin · Reading_groups alternatives · Awesome-LLM-in-Social-Science alternatives
GraphCanon updated 2w
vs
Trust & integrity
| Signal | Reading_groups | Awesome-LLM-in-Social-Science |
|---|---|---|
| Maintenance | Dormant (1094d since push) As of 2w · github_public_v1 | Steady (49d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Personal account As of 2w · github_public_v1 | Not a fork · Organization account As of 3w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- Reading_groups
- 资源整理和追踪大规模预训练语言模型相关文章
- Awesome-LLM-in-Social-Science
- Awesome papers involving LLMs in Social Science
Stars
- Reading_groups
- 202
- Awesome-LLM-in-Social-Science
- 639
Forks
- Reading_groups
- 7
- Awesome-LLM-in-Social-Science
- 48
Open issues
- Reading_groups
- 0
- Awesome-LLM-in-Social-Science
- 0
Language
- Reading_groups
- -
- Awesome-LLM-in-Social-Science
- -
Adopt for
- Reading_groups
- 用于跟踪、整理和学习大规模语言模型相关的文章、课程材料和实验演示，适用于希望了解最新技术进展、优化策略、应用案例以及深度分析的研究者。
- Awesome-LLM-in-Social-Science
- Curate research papers on LLM applications in social science, covering topics like alignment, economics, policy, psychology, and more.
Persona
- Reading_groups
- -
- Awesome-LLM-in-Social-Science
- -
Runtime
- Reading_groups
- -
- Awesome-LLM-in-Social-Science
- -
License
- Reading_groups
- -
- Awesome-LLM-in-Social-Science
- MIT
Last pushed
- Reading_groups
- Aug 8, 2023
- Awesome-LLM-in-Social-Science
- Jun 8, 2026
Categories
- Reading_groups
- Developer Tools, Evaluation & Observability, LLM Frameworks, Model Training
- Awesome-LLM-in-Social-Science
- Evaluation & Observability, Model Training
Trust and health
Maintenance
- Reading_groups
- Dormant (18%)
- Awesome-LLM-in-Social-Science
- Steady (60%)
Days since push
- Reading_groups
- 1094d
- Awesome-LLM-in-Social-Science
- 49d
Owner type
- Reading_groups
- User
- Awesome-LLM-in-Social-Science
- Organization
Full report
- Reading_groups
- Trust report
- Awesome-LLM-in-Social-Science
- Trust report
Choose Reading_groups if…
- Tags unique to Reading_groups: chatgpt, gpt-3, gpt-4, llm.
- Also covers Developer Tools, LLM Frameworks.
- 您想深入理解特定的大规模预训练语言模型（如GPT-4）、其性能测试及其局限性时
When NOT to use Reading_groups
- 。Reading_groups，
- NLP，
Choose Awesome-LLM-in-Social-Science if…
- Tags unique to Awesome-LLM-in-Social-Science: alignment, economics, llm-agent, llm-evaluation.
- Need to explore academic insights into LLM impacts on specific social areas
- More GitHub stars (639 vs 202) - visibility, not fit.
When NOT to use Awesome-LLM-in-Social-Science
- Looking for a hands-on coding or practical implementation guide of LLMs
- In need of real-time data analysis tools for immediate social science research outcomes
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (crazyofapple/Reading_groups) · observed Aug 6, 2026
- GitHub forks (crazyofapple/Reading_groups) · observed Aug 6, 2026
- Last push (crazyofapple/Reading_groups) · observed Aug 8, 2023
- License file (unknown) · observed Aug 6, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (ValueByte-AI/Awesome-LLM-in-Social-Science) · observed Jul 28, 2026
- GitHub forks (ValueByte-AI/Awesome-LLM-in-Social-Science) · observed Jul 28, 2026
- Last push (ValueByte-AI/Awesome-LLM-in-Social-Science) · observed Jun 8, 2026
- License file (MIT) · observed Jul 28, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: Reading_groups 202 · Awesome-LLM-in-Social-Science 639 (synced Aug 6, 2026).
Common questions
- What is the difference between Reading_groups and Awesome-LLM-in-Social-Science?
- Reading_groups: 资源整理和追踪大规模预训练语言模型相关文章. Awesome-LLM-in-Social-Science: Awesome papers involving LLMs in Social Science. See the comparison table for live GitHub stats and shared categories.
- When should I choose Reading_groups over Awesome-LLM-in-Social-Science?
- Choose Reading_groups over Awesome-LLM-in-Social-Science when Tags unique to Reading_groups: chatgpt, gpt-3, gpt-4, llm; Also covers Developer Tools, LLM Frameworks; 您想深入理解特定的大规模预训练语言模型（如GPT-4）、其性能测试及其局限性时.
- When should I choose Awesome-LLM-in-Social-Science over Reading_groups?
- Choose Awesome-LLM-in-Social-Science over Reading_groups when Tags unique to Awesome-LLM-in-Social-Science: alignment, economics, llm-agent, llm-evaluation; Need to explore academic insights into LLM impacts on specific social areas; More GitHub stars (639 vs 202) - visibility, not fit.
- When should I avoid Reading_groups?
- 。Reading_groups， NLP，
- When should I avoid Awesome-LLM-in-Social-Science?
- Looking for a hands-on coding or practical implementation guide of LLMs In need of real-time data analysis tools for immediate social science research outcomes
- Is Reading_groups or Awesome-LLM-in-Social-Science more popular on GitHub?
- Awesome-LLM-in-Social-Science has more GitHub stars (639 vs 202). Stars measure visibility, not whether either tool fits your constraints.
- Are Reading_groups and Awesome-LLM-in-Social-Science open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to Reading_groups or Awesome-LLM-in-Social-Science?
- GraphCanon lists graph-backed alternatives at Reading_groups alternatives and Awesome-LLM-in-Social-Science alternatives (Reading_groups markdown twin, Awesome-LLM-in-Social-Science 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, Reading_groups or Awesome-LLM-in-Social-Science?
- Reading_groups: Dormant. Awesome-LLM-in-Social-Science: Steady. 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 Reading_groups and Awesome-LLM-in-Social-Science?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Reading_groups trust report; Awesome-LLM-in-Social-Science trust report.