Comparison
Hands-On-Large-Language-Models vs ell
Verdict
Pick Hands-On-Large-Language-Models if hands-On-Large-Language-Models offers code examples and educational content for large language models, as detailed in the O'Reilly book 'Hands-On Large Language Models'. The repository is in Jupyter Notebook format and,遵; pick ell if ell is a Python-based language model development library and prompt engineering tool.
Markdown twin · Hands-On-Large-Language-Models alternatives · ell alternatives
GraphCanon updated Sep 20, 2026
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Trust & integrity
| Signal | Hands-On-Large-Language-Models | ell |
|---|---|---|
| Maintenance | Slowing (146d since push) As of Sep 18, 2026 · github_public_v1 | Dormant (471d since push) As of Sep 20, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 | Not a fork · Personal account As of Sep 20, 2026 · github_public_v1 |
| OSV dependency advisories | Published findings As of Sep 18, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 11, 2026 · 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
- Code for the book 'Hands-On Large Language Models'
- ell
- A language model programming library
Stars
- Hands-On-Large-Language-Models
- 29k
- ell
- 5.9k
Forks
- Hands-On-Large-Language-Models
- 6.7k
- ell
- 341
Open issues
- Hands-On-Large-Language-Models
- 40
- ell
- 185
Language
- Hands-On-Large-Language-Models
- Jupyter Notebook
- ell
- Python
Adopt for
- Hands-On-Large-Language-Models
- Hands-On-Large-Language-Models offers code examples and educational content for large language models, as detailed in the O'Reilly book 'Hands-On Large Language Models'. The repository is in Jupyter Notebook format and,遵
- ell
- ell is a Python-based language model development library and prompt engineering tool.
Persona
- Hands-On-Large-Language-Models
- -
- ell
- -
Runtime
- Hands-On-Large-Language-Models
- -
- ell
- -
License
- Hands-On-Large-Language-Models
- Apache-2.0
- ell
- MIT - Permissive free software license
Last pushed
- Hands-On-Large-Language-Models
- Apr 24, 2026
- ell
- Jun 5, 2025
Categories
- Hands-On-Large-Language-Models
- Developer Tools, LLM Frameworks
- ell
- LLM Frameworks
Trust and health
Maintenance
- Hands-On-Large-Language-Models
- Slowing (36%)
- ell
- Dormant (18%)
Days since push
- Hands-On-Large-Language-Models
- 146d
- ell
- 471d
Open issues (now)
- Hands-On-Large-Language-Models
- 40
- ell
- 185
Stars delta
- Hands-On-Large-Language-Models
- +910 (30d)
- ell
- -12 (30d)
Open issues delta
- Hands-On-Large-Language-Models
- +2 (30d)
- ell
- -1 (30d)
Owner type
- Hands-On-Large-Language-Models
- Organization
- ell
- User
OSV dependency advisories
- Hands-On-Large-Language-Models
- Published findings
- ell
- No lockfile (source not queried)
Full report
- Hands-On-Large-Language-Models
- Trust report
- ell
- Trust report
Choose Hands-On-Large-Language-Models if…
- Hands-On-Large-Language-Models is primarily Jupyter Notebook; ell is Python.
- License: Hands-On-Large-Language-Models is Apache-2.0, ell is MIT.
- Tags unique to Hands-On-Large-Language-Models: artificial-intelligence, book, large-language-models, llm.
- Also covers Developer Tools.
- Use this tool if you are looking for practical, code-based learning resources that align with the book 'Hands-On Large Language Models'.
When NOT to use Hands-On-Large-Language-Models
- Avoid this tool if you are seeking a comprehensive theoretical background without practical examples, as the focus is on hands-on learning.
- Not recommended for users who prefer a different platform for running code examples, as the repository is optimized for Google Colab with a T4 GPU and 16GB VRAM.
- If you are looking for a tool that covers a broader range of AI topics beyond large language models, this repository may not be the best fit.
Choose ell if…
- ell is primarily Python; Hands-On-Large-Language-Models is Jupyter Notebook.
- License: ell is MIT, Hands-On-Large-Language-Models is Apache-2.0.
- Pricing: Free to use under MIT License, with no premium plans mentioned..
- Tags unique to ell: ai, prompt-engineering.
- When you require a dedicated Python framework for developing custom language models and fine-tuning them with specific prompts for your application.
When NOT to use ell
- If you prefer JavaScript or other languages over Python, consider alternative frameworks that support the language of your choice.
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 Sep 20, 2026
- GitHub forks (HandsOnLLM/Hands-On-Large-Language-Models) · observed Sep 20, 2026
- Last push (HandsOnLLM/Hands-On-Large-Language-Models) · observed Apr 24, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
- GitHub stars (MadcowD/ell) · observed Sep 20, 2026
- GitHub forks (MadcowD/ell) · observed Sep 20, 2026
- Last push (MadcowD/ell) · observed Jun 5, 2025
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: Hands-On-Large-Language-Models 29k · ell 5.9k (synced Sep 20, 2026).
Common questions
- What is the difference between Hands-On-Large-Language-Models and ell?
- Hands-On-Large-Language-Models: Code for the book 'Hands-On Large Language Models'. ell: A language model programming library. See the comparison table for live GitHub stats and shared categories.
- When should I choose Hands-On-Large-Language-Models over ell?
- Choose Hands-On-Large-Language-Models over ell when Hands-On-Large-Language-Models is primarily Jupyter Notebook; ell is Python; License: Hands-On-Large-Language-Models is Apache-2.0, ell is MIT; Tags unique to Hands-On-Large-Language-Models: artificial-intelligence, book, large-language-models, llm; Also covers Developer Tools; Use this tool if you are looking for practical, code-based learning resources that align with the book 'Hands-On Large Language Models'.
- When should I choose ell over Hands-On-Large-Language-Models?
- Choose ell over Hands-On-Large-Language-Models when ell is primarily Python; Hands-On-Large-Language-Models is Jupyter Notebook; License: ell is MIT, Hands-On-Large-Language-Models is Apache-2.0; Pricing: Free to use under MIT License, with no premium plans mentioned.; Tags unique to ell: ai, prompt-engineering; When you require a dedicated Python framework for developing custom language models and fine-tuning them with specific prompts for your application.
- When should I avoid Hands-On-Large-Language-Models?
- Avoid this tool if you are seeking a comprehensive theoretical background without practical examples, as the focus is on hands-on learning. Not recommended for users who prefer a different platform for running code examples, as the repository is optimized for Google Colab with a T4 GPU and 16GB VRAM. If you are looking for a tool that covers a broader range of AI topics beyond large language models, this repository may not be the best fit.
- When should I avoid ell?
- If you prefer JavaScript or other languages over Python, consider alternative frameworks that support the language of your choice.
- Is Hands-On-Large-Language-Models or ell more popular on GitHub?
- Hands-On-Large-Language-Models has more GitHub stars (29,162 vs 5,857). Stars measure visibility, not whether either tool fits your constraints.
- Are Hands-On-Large-Language-Models and ell open source?
- Yes - both are open-source projects on GitHub (Hands-On-Large-Language-Models: Apache-2.0, ell: MIT).
- Where can I find alternatives to Hands-On-Large-Language-Models or ell?
- GraphCanon lists graph-backed alternatives at Hands-On-Large-Language-Models alternatives and ell alternatives (Hands-On-Large-Language-Models markdown twin, ell 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 ell?
- Hands-On-Large-Language-Models: Slowing. ell: Dormant. 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 ell?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Hands-On-Large-Language-Models trust report; ell trust report.