Comparison
Hands-On-Large-Language-Models vs pallms
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 pallms if pallms is a collection of payloads designed to test vulnerabilities in large language models through prompt injection attacks.
Markdown twin · Hands-On-Large-Language-Models alternatives · pallms alternatives
GraphCanon updated Oct 6, 2026
5views this month
vs
Trust & integrity
| Signal | Hands-On-Large-Language-Models | pallms |
|---|---|---|
| Maintenance | Slowing (146d since push) As of Sep 18, 2026 · github_public_v1 | Slowing (265d since push) As of Oct 6, 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 Oct 6, 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'
- pallms
- Payloads for attacking Large Language Models
Stars
- Hands-On-Large-Language-Models
- 29k
- pallms
- 149
Forks
- Hands-On-Large-Language-Models
- 6.7k
- pallms
- 19
Open issues
- Hands-On-Large-Language-Models
- 40
- pallms
- 0
Language
- Hands-On-Large-Language-Models
- Jupyter Notebook
- pallms
- -
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
- pallms
- Pallms is a collection of payloads designed to test vulnerabilities in large language models through prompt injection attacks.
Persona
- Hands-On-Large-Language-Models
- -
- pallms
- -
Runtime
- Hands-On-Large-Language-Models
- -
- pallms
- -
License
- Hands-On-Large-Language-Models
- Apache-2.0
- pallms
- MIT
Last pushed
- Hands-On-Large-Language-Models
- Apr 24, 2026
- pallms
- Jan 13, 2026
Categories
- Hands-On-Large-Language-Models
- Developer Tools, LLM Frameworks
- pallms
- LLM Frameworks
Trust and health
Days since push
- Hands-On-Large-Language-Models
- 146d
- pallms
- 265d
Open issues (now)
- Hands-On-Large-Language-Models
- 40
- pallms
- 0
Stars delta
- Hands-On-Large-Language-Models
- +910 (30d)
- pallms
- +4 (30d)
Open issues delta
- Hands-On-Large-Language-Models
- +2 (30d)
- pallms
- 0 (30d)
Owner type
- Hands-On-Large-Language-Models
- Organization
- pallms
- User
OSV dependency advisories
- Hands-On-Large-Language-Models
- Published findings
- pallms
- No lockfile (source not queried)
Full report
- Hands-On-Large-Language-Models
- Trust report
- pallms
- Trust report
Choose Hands-On-Large-Language-Models if…
- License: Hands-On-Large-Language-Models is Apache-2.0, pallms 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 pallms if…
- License: pallms is MIT, Hands-On-Large-Language-Models is Apache-2.0.
- Tags unique to pallms: prompt-injection, security-testing, vulnerability-assessment.
- When you need specific payloads for testing and validating the security of your LLM against prompt injection attacks.
When NOT to use pallms
- If you require a framework for general development or deployment of large language model applications outside the scope of security testing.
- When looking for tools that offer comprehensive protection against all types of LLM vulnerabilities, as Pallms focuses primarily on prompt injection.
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 (mik0w/pallms) · observed Oct 6, 2026
- GitHub forks (mik0w/pallms) · observed Oct 6, 2026
- Last push (mik0w/pallms) · observed Jan 13, 2026
- License file (MIT) · observed Oct 6, 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 · pallms 149 (synced Sep 20, 2026).
Common questions
- What is the difference between Hands-On-Large-Language-Models and pallms?
- Hands-On-Large-Language-Models: Code for the book 'Hands-On Large Language Models'. pallms: Payloads for attacking Large Language Models. See the comparison table for live GitHub stats and shared categories.
- When should I choose Hands-On-Large-Language-Models over pallms?
- Choose Hands-On-Large-Language-Models over pallms when License: Hands-On-Large-Language-Models is Apache-2.0, pallms 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 pallms over Hands-On-Large-Language-Models?
- Choose pallms over Hands-On-Large-Language-Models when License: pallms is MIT, Hands-On-Large-Language-Models is Apache-2.0; Tags unique to pallms: prompt-injection, security-testing, vulnerability-assessment; When you need specific payloads for testing and validating the security of your LLM against prompt injection attacks.
- 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 pallms?
- If you require a framework for general development or deployment of large language model applications outside the scope of security testing. When looking for tools that offer comprehensive protection against all types of LLM vulnerabilities, as Pallms focuses primarily on prompt injection.
- Is Hands-On-Large-Language-Models or pallms more popular on GitHub?
- Hands-On-Large-Language-Models has more GitHub stars (29,162 vs 149). Stars measure visibility, not whether either tool fits your constraints.
- Are Hands-On-Large-Language-Models and pallms open source?
- Yes - both are open-source projects on GitHub (Hands-On-Large-Language-Models: Apache-2.0, pallms: MIT).
- Where can I find alternatives to Hands-On-Large-Language-Models or pallms?
- GraphCanon lists graph-backed alternatives at Hands-On-Large-Language-Models alternatives and pallms alternatives (Hands-On-Large-Language-Models markdown twin, pallms 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 pallms?
- Hands-On-Large-Language-Models: Slowing. pallms: Slowing. 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 pallms?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Hands-On-Large-Language-Models trust report; pallms trust report.