Comparison
Awesome-LLM-Eval vs Awesome-LLM-in-Social-Science
Verdict
Pick Awesome-LLM-Eval if awesome-LLM-Eval provides a comprehensive curated list of resources for evaluating large language models including tools, datasets, and benchmarks; 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 · Awesome-LLM-Eval alternatives · Awesome-LLM-in-Social-Science alternatives
GraphCanon updated 3w
vs
Trust & integrity
| Signal | Awesome-LLM-Eval | Awesome-LLM-in-Social-Science |
|---|---|---|
| Maintenance | Slowing (246d since push) As of 3w · github_public_v1 | Steady (49d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Personal account As of 3w · 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
- Awesome-LLM-Eval
- Curated list for evaluation of large language models
- Awesome-LLM-in-Social-Science
- Awesome papers involving LLMs in Social Science
Stars
- Awesome-LLM-Eval
- 654
- Awesome-LLM-in-Social-Science
- 639
Forks
- Awesome-LLM-Eval
- 82
- Awesome-LLM-in-Social-Science
- 48
Open issues
- Awesome-LLM-Eval
- 44
- Awesome-LLM-in-Social-Science
- 0
Language
- Awesome-LLM-Eval
- -
- Awesome-LLM-in-Social-Science
- -
Adopt for
- Awesome-LLM-Eval
- Awesome-LLM-Eval provides a comprehensive curated list of resources for evaluating large language models including tools, datasets, and benchmarks.
- Awesome-LLM-in-Social-Science
- Curate research papers on LLM applications in social science, covering topics like alignment, economics, policy, psychology, and more.
Persona
- Awesome-LLM-Eval
- -
- Awesome-LLM-in-Social-Science
- -
Runtime
- Awesome-LLM-Eval
- -
- Awesome-LLM-in-Social-Science
- -
License
- Awesome-LLM-Eval
- MIT
- Awesome-LLM-in-Social-Science
- MIT
Last pushed
- Awesome-LLM-Eval
- Nov 24, 2025
- Awesome-LLM-in-Social-Science
- Jun 8, 2026
Categories
- Awesome-LLM-Eval
- Evaluation & Observability
- Awesome-LLM-in-Social-Science
- Evaluation & Observability, Model Training
Trust and health
Maintenance
- Awesome-LLM-Eval
- Slowing (36%)
- Awesome-LLM-in-Social-Science
- Steady (60%)
Days since push
- Awesome-LLM-Eval
- 246d
- Awesome-LLM-in-Social-Science
- 49d
Open issues (now)
- Awesome-LLM-Eval
- 44
- Awesome-LLM-in-Social-Science
- 0
Owner type
- Awesome-LLM-Eval
- User
- Awesome-LLM-in-Social-Science
- Organization
Full report
- Awesome-LLM-Eval
- Trust report
- Awesome-LLM-in-Social-Science
- Trust report
Choose Awesome-LLM-Eval if…
- Pricing: The core resources listed in Awesome-LLM-Eval are freely accessible under MIT license, however, certain datasets or tools might have individual licensing terms..
- Requirements: The resources listed may vary in their own requirements, including software dependencies and hardware specifications..
- Tags unique to Awesome-LLM-Eval: awesome-list, benchmark, datasets, evaluation.
- When you specifically need access to an extensive compilation of evaluation-related resources tailored towards large language model assessment.
When NOT to use Awesome-LLM-Eval
- You require real-time testing capabilities or interactive features; Awesome-LLM-Eval is a static resource list and not an interactive platform.
- If integration with specific third-party platforms or direct API access is necessary, since the repository predominantly serves as a reference point rather than an operational tool.
Choose Awesome-LLM-in-Social-Science if…
- Tags unique to Awesome-LLM-in-Social-Science: alignment, economics, llm-agent, policy.
- Also covers Model Training.
- Need to explore academic insights into LLM impacts on specific social areas
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 (onejune2018/Awesome-LLM-Eval) · observed Jul 28, 2026
- GitHub forks (onejune2018/Awesome-LLM-Eval) · observed Jul 28, 2026
- Last push (onejune2018/Awesome-LLM-Eval) · observed Nov 24, 2025
- License file (MIT) · observed Jul 28, 2026
- Decision facts (enrichment) · observed Jul 17, 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: Awesome-LLM-Eval 654 · Awesome-LLM-in-Social-Science 639 (synced Jul 28, 2026).
Common questions
- What is the difference between Awesome-LLM-Eval and Awesome-LLM-in-Social-Science?
- Awesome-LLM-Eval: Curated list for evaluation of large language models. 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 Awesome-LLM-Eval over Awesome-LLM-in-Social-Science?
- Choose Awesome-LLM-Eval over Awesome-LLM-in-Social-Science when Pricing: The core resources listed in Awesome-LLM-Eval are freely accessible under MIT license, however, certain datasets or tools might have individual licensing terms.; Requirements: The resources listed may vary in their own requirements, including software dependencies and hardware specifications.; Tags unique to Awesome-LLM-Eval: awesome-list, benchmark, datasets, evaluation; When you specifically need access to an extensive compilation of evaluation-related resources tailored towards large language model assessment.
- When should I choose Awesome-LLM-in-Social-Science over Awesome-LLM-Eval?
- Choose Awesome-LLM-in-Social-Science over Awesome-LLM-Eval when Tags unique to Awesome-LLM-in-Social-Science: alignment, economics, llm-agent, policy; Also covers Model Training; Need to explore academic insights into LLM impacts on specific social areas.
- When should I avoid Awesome-LLM-Eval?
- You require real-time testing capabilities or interactive features; Awesome-LLM-Eval is a static resource list and not an interactive platform. If integration with specific third-party platforms or direct API access is necessary, since the repository predominantly serves as a reference point rather than an operational tool.
- 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 Awesome-LLM-Eval or Awesome-LLM-in-Social-Science more popular on GitHub?
- Awesome-LLM-Eval has more GitHub stars (654 vs 639). Stars measure visibility, not whether either tool fits your constraints.
- Are Awesome-LLM-Eval and Awesome-LLM-in-Social-Science open source?
- Yes - both are open-source projects on GitHub (Awesome-LLM-Eval: MIT, Awesome-LLM-in-Social-Science: MIT).
- Where can I find alternatives to Awesome-LLM-Eval or Awesome-LLM-in-Social-Science?
- GraphCanon lists graph-backed alternatives at Awesome-LLM-Eval alternatives and Awesome-LLM-in-Social-Science alternatives (Awesome-LLM-Eval 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, Awesome-LLM-Eval or Awesome-LLM-in-Social-Science?
- Awesome-LLM-Eval: Slowing. 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 Awesome-LLM-Eval and Awesome-LLM-in-Social-Science?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Awesome-LLM-Eval trust report; Awesome-LLM-in-Social-Science trust report.