Comparison
awesome-automl-papers vs Awesome-LLM-in-Social-Science
Verdict
Pick awesome-automl-papers if awesome-automl-papers is an organized collection of AutoML academic resources including papers on automated feature engineering, hyperparameter optimization, and neural architecture search; 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-automl-papers alternatives · Awesome-LLM-in-Social-Science alternatives
GraphCanon updated 2w
vs
Trust & integrity
| Signal | awesome-automl-papers | Awesome-LLM-in-Social-Science |
|---|---|---|
| Maintenance | Dormant (784d 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
- awesome-automl-papers
- A curated list of automated machine learning papers and resources.
- Awesome-LLM-in-Social-Science
- Awesome papers involving LLMs in Social Science
Stars
- awesome-automl-papers
- 4.2k
- Awesome-LLM-in-Social-Science
- 639
Forks
- awesome-automl-papers
- 678
- Awesome-LLM-in-Social-Science
- 48
Open issues
- awesome-automl-papers
- 2
- Awesome-LLM-in-Social-Science
- 0
Language
- awesome-automl-papers
- -
- Awesome-LLM-in-Social-Science
- -
Adopt for
- awesome-automl-papers
- awesome-automl-papers is an organized collection of AutoML academic resources including papers on automated feature engineering, hyperparameter optimization, and neural architecture search.
- 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-automl-papers
- -
- Awesome-LLM-in-Social-Science
- -
Runtime
- awesome-automl-papers
- -
- Awesome-LLM-in-Social-Science
- -
License
- awesome-automl-papers
- Apache-2.0
- Awesome-LLM-in-Social-Science
- MIT
Last pushed
- awesome-automl-papers
- Jun 11, 2024
- Awesome-LLM-in-Social-Science
- Jun 8, 2026
Categories
- awesome-automl-papers
- Evaluation & Observability, Model Training
- Awesome-LLM-in-Social-Science
- Evaluation & Observability, Model Training
Trust and health
Maintenance
- awesome-automl-papers
- Dormant (18%)
- Awesome-LLM-in-Social-Science
- Steady (60%)
Days since push
- awesome-automl-papers
- 784d
- Awesome-LLM-in-Social-Science
- 49d
Open issues (now)
- awesome-automl-papers
- 2
- Awesome-LLM-in-Social-Science
- 0
Owner type
- awesome-automl-papers
- User
- Awesome-LLM-in-Social-Science
- Organization
Full report
- awesome-automl-papers
- Trust report
- Awesome-LLM-in-Social-Science
- Trust report
Choose awesome-automl-papers if…
- License: awesome-automl-papers is Apache-2.0, Awesome-LLM-in-Social-Science is MIT.
- Tags unique to awesome-automl-papers: automl, feature-engineering, hyperparameter-optimization, neural-architecture-search.
- When you need a curated list of academic materials to research or learn about AutoML technologies
When NOT to use awesome-automl-papers
- If looking for direct integration with commercial AutoML systems, as the tool provides only a list of academic papers and resources
- When seeking practical AutoML solutions to directly apply in production settings without extensive customization or interpretation from papers
Choose Awesome-LLM-in-Social-Science if…
- License: Awesome-LLM-in-Social-Science is MIT, awesome-automl-papers is Apache-2.0.
- Tags unique to Awesome-LLM-in-Social-Science: alignment, economics, large language models, llm-agent.
- 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 (hibayesian/awesome-automl-papers) · observed Aug 4, 2026
- GitHub forks (hibayesian/awesome-automl-papers) · observed Aug 4, 2026
- Last push (hibayesian/awesome-automl-papers) · observed Jun 11, 2024
- License file (Apache-2.0) · observed Aug 4, 2026
- Decision facts (enrichment) · observed Jul 15, 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-automl-papers 4.2k · Awesome-LLM-in-Social-Science 639 (synced Aug 4, 2026).
Common questions
- What is the difference between awesome-automl-papers and Awesome-LLM-in-Social-Science?
- awesome-automl-papers: A curated list of automated machine learning papers and resources.. 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-automl-papers over Awesome-LLM-in-Social-Science?
- Choose awesome-automl-papers over Awesome-LLM-in-Social-Science when License: awesome-automl-papers is Apache-2.0, Awesome-LLM-in-Social-Science is MIT; Tags unique to awesome-automl-papers: automl, feature-engineering, hyperparameter-optimization, neural-architecture-search; When you need a curated list of academic materials to research or learn about AutoML technologies.
- When should I choose Awesome-LLM-in-Social-Science over awesome-automl-papers?
- Choose Awesome-LLM-in-Social-Science over awesome-automl-papers when License: Awesome-LLM-in-Social-Science is MIT, awesome-automl-papers is Apache-2.0; Tags unique to Awesome-LLM-in-Social-Science: alignment, economics, large language models, llm-agent; Need to explore academic insights into LLM impacts on specific social areas.
- When should I avoid awesome-automl-papers?
- If looking for direct integration with commercial AutoML systems, as the tool provides only a list of academic papers and resources When seeking practical AutoML solutions to directly apply in production settings without extensive customization or interpretation from papers
- 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-automl-papers or Awesome-LLM-in-Social-Science more popular on GitHub?
- awesome-automl-papers has more GitHub stars (4,155 vs 639). Stars measure visibility, not whether either tool fits your constraints.
- Are awesome-automl-papers and Awesome-LLM-in-Social-Science open source?
- Yes - both are open-source projects on GitHub (awesome-automl-papers: Apache-2.0, Awesome-LLM-in-Social-Science: MIT).
- Where can I find alternatives to awesome-automl-papers or Awesome-LLM-in-Social-Science?
- GraphCanon lists graph-backed alternatives at awesome-automl-papers alternatives and Awesome-LLM-in-Social-Science alternatives (awesome-automl-papers 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-automl-papers or Awesome-LLM-in-Social-Science?
- awesome-automl-papers: 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 awesome-automl-papers and Awesome-LLM-in-Social-Science?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: awesome-automl-papers trust report; Awesome-LLM-in-Social-Science trust report.