Comparison
Hands-On-Large-Language-Models vs Large-Language-Model-Notebooks-Course
Verdict
Pick Hands-On-Large-Language-Models if consider using the 'Hands-On-Large-Language-Models' repository if your interest aligns with hands-on learning and practice of large language models through coding examples; 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.
Markdown twin · Hands-On-Large-Language-Models alternatives · Large-Language-Model-Notebooks-Course alternatives
GraphCanon updated 5d
vs
Large-Language-Model-Notebooks-Course
peremartra/Large-Language-Model-Notebooks-Course
★ 1.8kpushed May 28, 2026
Trust & integrity
| Signal | Hands-On-Large-Language-Models | Large-Language-Model-Notebooks-Course |
|---|---|---|
| Maintenance | Slowing (114d since push) As of 5d · github_public_v1 | Steady (79d since push) As of 6d · github_public_v1 |
| Provenance | Not a fork · Organization account As of 5d · github_public_v1 | Not a fork · Personal account As of 6d · 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
- Hands-On-Large-Language-Models
- Official code repo for the O'Reilly Book - 'Hands-On Large Language Models'
- Large-Language-Model-Notebooks-Course
- Practical course about Large Language Models
Stars
- Hands-On-Large-Language-Models
- 28k
- Large-Language-Model-Notebooks-Course
- 1.8k
Forks
- Hands-On-Large-Language-Models
- 6.5k
- Large-Language-Model-Notebooks-Course
- 447
Open issues
- Hands-On-Large-Language-Models
- 38
- Large-Language-Model-Notebooks-Course
- 0
Language
- Hands-On-Large-Language-Models
- Jupyter Notebook
- Large-Language-Model-Notebooks-Course
- Jupyter Notebook
Adopt for
- Hands-On-Large-Language-Models
- Consider using the 'Hands-On-Large-Language-Models' repository if your interest aligns with hands-on learning and practice of large language models through coding examples.
- 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.
Persona
- Hands-On-Large-Language-Models
- -
- Large-Language-Model-Notebooks-Course
- -
Runtime
- Hands-On-Large-Language-Models
- -
- Large-Language-Model-Notebooks-Course
- -
License
- Hands-On-Large-Language-Models
- Apache-2.0 License
- Large-Language-Model-Notebooks-Course
- MIT
Last pushed
- Hands-On-Large-Language-Models
- Apr 24, 2026
- Large-Language-Model-Notebooks-Course
- May 28, 2026
Categories
- Hands-On-Large-Language-Models
- LLM Frameworks, Model Training
- Large-Language-Model-Notebooks-Course
- Evaluation & Observability, Inference & Serving, LLM Frameworks, Model Training
Trust and health
Maintenance
- Hands-On-Large-Language-Models
- Slowing (36%)
- Large-Language-Model-Notebooks-Course
- Steady (60%)
Days since push
- Hands-On-Large-Language-Models
- 114d
- Large-Language-Model-Notebooks-Course
- 79d
Open issues (now)
- Hands-On-Large-Language-Models
- 38
- Large-Language-Model-Notebooks-Course
- 0
Stars delta
- Hands-On-Large-Language-Models
- +642 (30d)
- Large-Language-Model-Notebooks-Course
- +3 (30d)
Owner type
- Hands-On-Large-Language-Models
- Organization
- Large-Language-Model-Notebooks-Course
- User
Full report
- Hands-On-Large-Language-Models
- Trust report
- Large-Language-Model-Notebooks-Course
- Trust report
Typed relationship
Hands-On-Large-Language-Models alternative Large-Language-Model-Notebooks-CourseBoth offer courses or notebooks with real-world examples to teach working with large language models.
Choose Hands-On-Large-Language-Models if…
- License: Hands-On-Large-Language-Models is Apache-2.0, Large-Language-Model-Notebooks-Course is MIT.
- Pricing: The repository is free and open under the Apache-2.0 license..
- Requirements: - Access to Jupyter Notebook is required for running code examples provided in this repository.; - Fundamental understanding of large language models and familiarity with AI concepts would be beneficial..
- Both offer courses or notebooks with real-world examples to teach working with large language models.
- Tags unique to Hands-On-Large-Language-Models: artificial-intelligence, book, llm, llms.
- - You are focusing on practical implementation aspects detailed in a structured format as outlined by O'Reilly's authoritative book.
When NOT to use Hands-On-Large-Language-Models
- - If you need real-time model evaluation tools rather than educational materials, as this repository primarily provides code for understanding and implementing concepts covered in a book.
- - You are seeking proprietary or more specialized frameworks that go beyond the examples provided in an educational context to meet specific, advanced use-case needs.
Choose Large-Language-Model-Notebooks-Course if…
- License: Large-Language-Model-Notebooks-Course is MIT, Hands-On-Large-Language-Models is Apache-2.0.
- Both offer courses or notebooks with real-world examples to teach working with large language models.
- Tags unique to Large-Language-Model-Notebooks-Course: chatbots, fine-tuning-llm, huggingface, langchain.
- Also covers Evaluation & Observability, Inference & Serving.
- 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (HandsOnLLM/Hands-On-Large-Language-Models) · observed Aug 16, 2026
- GitHub forks (HandsOnLLM/Hands-On-Large-Language-Models) · observed Aug 16, 2026
- Last push (HandsOnLLM/Hands-On-Large-Language-Models) · observed Apr 24, 2026
- License file (Apache-2.0) · observed Aug 16, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- 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 on cards: Hands-On-Large-Language-Models 28k · Large-Language-Model-Notebooks-Course 1.8k (synced Aug 16, 2026).
Common questions
- What is the difference between Hands-On-Large-Language-Models and Large-Language-Model-Notebooks-Course?
- Hands-On-Large-Language-Models: Official code repo for the O'Reilly Book - 'Hands-On Large Language Models'. Large-Language-Model-Notebooks-Course: Practical course about Large Language Models. See the comparison table for live GitHub stats and shared categories.
- When should I choose Hands-On-Large-Language-Models over Large-Language-Model-Notebooks-Course?
- Choose Hands-On-Large-Language-Models over Large-Language-Model-Notebooks-Course when License: Hands-On-Large-Language-Models is Apache-2.0, Large-Language-Model-Notebooks-Course is MIT; Pricing: The repository is free and open under the Apache-2.0 license.; Requirements: - Access to Jupyter Notebook is required for running code examples provided in this repository.; - Fundamental understanding of large language models and familiarity with AI concepts would be beneficial.; Both offer courses or notebooks with real-world examples to teach working with large language models; Tags unique to Hands-On-Large-Language-Models: artificial-intelligence, book, llm, llms; - You are focusing on practical implementation aspects detailed in a structured format as outlined by O'Reilly's authoritative book.
- When should I choose Large-Language-Model-Notebooks-Course over Hands-On-Large-Language-Models?
- Choose Large-Language-Model-Notebooks-Course over Hands-On-Large-Language-Models when License: Large-Language-Model-Notebooks-Course is MIT, Hands-On-Large-Language-Models is Apache-2.0; Both offer courses or notebooks with real-world examples to teach working with large language models; Tags unique to Large-Language-Model-Notebooks-Course: chatbots, fine-tuning-llm, huggingface, langchain; Also covers Evaluation & Observability, Inference & Serving; You're seeking an evolving curriculum with projects that apply Large Language Model techniques from various libraries.
- When should I avoid Hands-On-Large-Language-Models?
- - If you need real-time model evaluation tools rather than educational materials, as this repository primarily provides code for understanding and implementing concepts covered in a book. - You are seeking proprietary or more specialized frameworks that go beyond the examples provided in an educational context to meet specific, advanced use-case needs.
- 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.
- Is Hands-On-Large-Language-Models or Large-Language-Model-Notebooks-Course more popular on GitHub?
- Hands-On-Large-Language-Models has more GitHub stars (28,252 vs 1,821). Stars measure visibility, not whether either tool fits your constraints.
- Are Hands-On-Large-Language-Models and Large-Language-Model-Notebooks-Course open source?
- Yes - both are open-source projects on GitHub (Hands-On-Large-Language-Models: Apache-2.0, Large-Language-Model-Notebooks-Course: MIT).
- Where can I find alternatives to Hands-On-Large-Language-Models or Large-Language-Model-Notebooks-Course?
- GraphCanon lists graph-backed alternatives at Hands-On-Large-Language-Models alternatives and Large-Language-Model-Notebooks-Course alternatives (Hands-On-Large-Language-Models markdown twin, Large-Language-Model-Notebooks-Course 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, Hands-On-Large-Language-Models or Large-Language-Model-Notebooks-Course?
- Hands-On-Large-Language-Models: Slowing. Large-Language-Model-Notebooks-Course: 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 Hands-On-Large-Language-Models and Large-Language-Model-Notebooks-Course?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Hands-On-Large-Language-Models trust report; Large-Language-Model-Notebooks-Course trust report.