Comparison
Large-Language-Model-Notebooks-Course vs Awesome-LLM-in-Social-Science
Verdict
Pick Large-Language-Model-Notebooks-Course if a developing, comprehensive hands-on course covering a broad array of LLM tools and applications from OpenAI and Hugging Face; 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 · Large-Language-Model-Notebooks-Course alternatives · Awesome-LLM-in-Social-Science alternatives
GraphCanon updated 1w
Large-Language-Model-Notebooks-Course
peremartra/Large-Language-Model-Notebooks-Course
★ 1.8kpushed May 28, 2026
Trust & integrity
| Signal | Large-Language-Model-Notebooks-Course | Awesome-LLM-in-Social-Science |
|---|---|---|
| Maintenance | Steady (79d since push) As of 1w · github_public_v1 | Steady (49d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Personal account As of 1w · 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
- Large-Language-Model-Notebooks-Course
- Practical course about Large Language Models
- Awesome-LLM-in-Social-Science
- Awesome papers involving LLMs in Social Science
Stars
- Large-Language-Model-Notebooks-Course
- 1.8k
- Awesome-LLM-in-Social-Science
- 639
Forks
- Large-Language-Model-Notebooks-Course
- 447
- Awesome-LLM-in-Social-Science
- 48
Open issues
- Large-Language-Model-Notebooks-Course
- 0
- Awesome-LLM-in-Social-Science
- 0
Language
- Large-Language-Model-Notebooks-Course
- Jupyter Notebook
- Awesome-LLM-in-Social-Science
- -
Adopt for
- Large-Language-Model-Notebooks-Course
- A developing, comprehensive hands-on course covering a broad array of LLM tools and applications from OpenAI and Hugging Face.
- Awesome-LLM-in-Social-Science
- Curate research papers on LLM applications in social science, covering topics like alignment, economics, policy, psychology, and more.
Persona
- Large-Language-Model-Notebooks-Course
- -
- Awesome-LLM-in-Social-Science
- -
Runtime
- Large-Language-Model-Notebooks-Course
- -
- Awesome-LLM-in-Social-Science
- -
License
- Large-Language-Model-Notebooks-Course
- MIT
- Awesome-LLM-in-Social-Science
- MIT
Last pushed
- Large-Language-Model-Notebooks-Course
- May 28, 2026
- Awesome-LLM-in-Social-Science
- Jun 8, 2026
Categories
- Large-Language-Model-Notebooks-Course
- Evaluation & Observability, Inference & Serving, LLM Frameworks, Model Training
- Awesome-LLM-in-Social-Science
- Evaluation & Observability, Model Training
Trust and health
Days since push
- Large-Language-Model-Notebooks-Course
- 79d
- Awesome-LLM-in-Social-Science
- 49d
Stars delta
- Large-Language-Model-Notebooks-Course
- +3 (30d)
- Awesome-LLM-in-Social-Science
- Unknown
Open issues delta
- Large-Language-Model-Notebooks-Course
- 0 (30d)
- Awesome-LLM-in-Social-Science
- Unknown
Owner type
- Large-Language-Model-Notebooks-Course
- User
- Awesome-LLM-in-Social-Science
- Organization
Full report
- Large-Language-Model-Notebooks-Course
- Trust report
- Awesome-LLM-in-Social-Science
- Trust report
Choose Large-Language-Model-Notebooks-Course if…
- Tags unique to Large-Language-Model-Notebooks-Course: chatbots, fine-tuning-llm, huggingface, langchain.
- Also covers Inference & Serving, LLM Frameworks.
- You're seeking an evolving curriculum with projects that apply Large Language Model techniques from various libraries.
When NOT to use Large-Language-Model-Notebooks-Course
- Seeking a complete, finalized course where all content is available for immediate use without future updates.
- Looking exclusively for theory; the course emphasizes practical application over theoretical depth.
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 recently updated (last pushed Jun 8, 2026).
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 (peremartra/Large-Language-Model-Notebooks-Course) · observed Aug 15, 2026
- GitHub forks (peremartra/Large-Language-Model-Notebooks-Course) · observed Aug 15, 2026
- Last push (peremartra/Large-Language-Model-Notebooks-Course) · observed May 28, 2026
- License file (MIT) · observed Aug 15, 2026
- Decision facts (enrichment) · observed Jul 12, 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: Large-Language-Model-Notebooks-Course 1.8k · Awesome-LLM-in-Social-Science 639 (synced Aug 15, 2026).
Common questions
- What is the difference between Large-Language-Model-Notebooks-Course and Awesome-LLM-in-Social-Science?
- Large-Language-Model-Notebooks-Course: Practical course about 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 Large-Language-Model-Notebooks-Course over Awesome-LLM-in-Social-Science?
- Choose Large-Language-Model-Notebooks-Course over Awesome-LLM-in-Social-Science when Tags unique to Large-Language-Model-Notebooks-Course: chatbots, fine-tuning-llm, huggingface, langchain; Also covers Inference & Serving, LLM Frameworks; You're seeking an evolving curriculum with projects that apply Large Language Model techniques from various libraries.
- When should I choose Awesome-LLM-in-Social-Science over Large-Language-Model-Notebooks-Course?
- Choose Awesome-LLM-in-Social-Science over Large-Language-Model-Notebooks-Course 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 recently updated (last pushed Jun 8, 2026).
- When should I avoid Large-Language-Model-Notebooks-Course?
- Seeking a complete, finalized course where all content is available for immediate use without future updates. Looking exclusively for theory; the course emphasizes practical application over theoretical depth.
- 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 Large-Language-Model-Notebooks-Course or Awesome-LLM-in-Social-Science more popular on GitHub?
- Large-Language-Model-Notebooks-Course has more GitHub stars (1,821 vs 639). Stars measure visibility, not whether either tool fits your constraints.
- Are Large-Language-Model-Notebooks-Course and Awesome-LLM-in-Social-Science open source?
- Yes - both are open-source projects on GitHub (Large-Language-Model-Notebooks-Course: MIT, Awesome-LLM-in-Social-Science: MIT).
- Where can I find alternatives to Large-Language-Model-Notebooks-Course or Awesome-LLM-in-Social-Science?
- GraphCanon lists graph-backed alternatives at Large-Language-Model-Notebooks-Course alternatives and Awesome-LLM-in-Social-Science alternatives (Large-Language-Model-Notebooks-Course 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, Large-Language-Model-Notebooks-Course or Awesome-LLM-in-Social-Science?
- Large-Language-Model-Notebooks-Course: Steady. 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 Large-Language-Model-Notebooks-Course and Awesome-LLM-in-Social-Science?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Large-Language-Model-Notebooks-Course trust report; Awesome-LLM-in-Social-Science trust report.