Comparison
Hands-On-Large-Language-Models vs CodeGeeX
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 CodeGeeX if codeGeeX is an open-source multilingual code generation model, originally developed with MindSpore and compatible with PyTorch through DeepSpeed integration.
Markdown twin · Hands-On-Large-Language-Models alternatives · CodeGeeX alternatives
GraphCanon updated 4d
vs
Trust & integrity
| Signal | Hands-On-Large-Language-Models | CodeGeeX |
|---|---|---|
| Maintenance | Slowing (114d since push) As of 4d · github_public_v1 | Dormant (719d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 4d · github_public_v1 | Not a fork · Organization account As of 2w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | Published findings 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'
- CodeGeeX
- CodeGeeX is an open multilingual code generation model implemented in Mindspore and available via PyTorch.
Stars
- Hands-On-Large-Language-Models
- 28k
- CodeGeeX
- 8.8k
Forks
- Hands-On-Large-Language-Models
- 6.5k
- CodeGeeX
- 688
Open issues
- Hands-On-Large-Language-Models
- 38
- CodeGeeX
- 188
Language
- Hands-On-Large-Language-Models
- Jupyter Notebook
- CodeGeeX
- Python
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.
- CodeGeeX
- CodeGeeX is an open-source multilingual code generation model, originally developed with MindSpore and compatible with PyTorch through DeepSpeed integration.
Persona
- Hands-On-Large-Language-Models
- -
- CodeGeeX
- -
Runtime
- Hands-On-Large-Language-Models
- -
- CodeGeeX
- -
License
- Hands-On-Large-Language-Models
- Apache-2.0 License
- CodeGeeX
- Apache-2.0
Last pushed
- Hands-On-Large-Language-Models
- Apr 24, 2026
- CodeGeeX
- Aug 13, 2024
Categories
- Hands-On-Large-Language-Models
- LLM Frameworks, Model Training
- CodeGeeX
- LLM Frameworks, Model Training
Trust and health
Maintenance
- Hands-On-Large-Language-Models
- Slowing (36%)
- CodeGeeX
- Dormant (18%)
Days since push
- Hands-On-Large-Language-Models
- 114d
- CodeGeeX
- 719d
Open issues (now)
- Hands-On-Large-Language-Models
- 38
- CodeGeeX
- 188
Stars delta
- Hands-On-Large-Language-Models
- +642 (30d)
- CodeGeeX
- Unknown
Open issues delta
- Hands-On-Large-Language-Models
- 0 (30d)
- CodeGeeX
- Unknown
OSV dependency advisories
- Hands-On-Large-Language-Models
- No lockfile (source not queried)
- CodeGeeX
- Published findings
Full report
- Hands-On-Large-Language-Models
- Trust report
- CodeGeeX
- Trust report
Choose Hands-On-Large-Language-Models if…
- Hands-On-Large-Language-Models is primarily Jupyter Notebook; CodeGeeX is Python.
- 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..
- Tags unique to Hands-On-Large-Language-Models: artificial-intelligence, book, large language models, llm.
- - 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 CodeGeeX if…
- CodeGeeX is primarily Python; Hands-On-Large-Language-Models is Jupyter Notebook.
- Tags unique to CodeGeeX: ai programming tools, code generation, pretrained-models.
- When you require support for multilingual code generation and your project has a Python-based infrastructure with CUDA GPU availability.
When NOT to use CodeGeeX
- If your development environment lacks the necessary dependencies like Python 3.7+, CUDA 11+, PyTorch 1.10+, and DeepSpeed 0.6+.
- In scenarios where an open-source solution is not preferable or when support for exclusively one language's syntax is sufficient.
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 (zai-org/CodeGeeX) · observed Aug 2, 2026
- GitHub forks (zai-org/CodeGeeX) · observed Aug 2, 2026
- Last push (zai-org/CodeGeeX) · observed Aug 13, 2024
- License file (Apache-2.0) · observed Aug 2, 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 28k · CodeGeeX 8.8k (synced Aug 16, 2026).
Common questions
- What is the difference between Hands-On-Large-Language-Models and CodeGeeX?
- Hands-On-Large-Language-Models: Official code repo for the O'Reilly Book - 'Hands-On Large Language Models'. CodeGeeX: CodeGeeX is an open multilingual code generation model implemented in Mindspore and available via PyTorch.. See the comparison table for live GitHub stats and shared categories.
- When should I choose Hands-On-Large-Language-Models over CodeGeeX?
- Choose Hands-On-Large-Language-Models over CodeGeeX when Hands-On-Large-Language-Models is primarily Jupyter Notebook; CodeGeeX is Python; 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.; Tags unique to Hands-On-Large-Language-Models: artificial-intelligence, book, large language models, llm; - You are focusing on practical implementation aspects detailed in a structured format as outlined by O'Reilly's authoritative book.
- When should I choose CodeGeeX over Hands-On-Large-Language-Models?
- Choose CodeGeeX over Hands-On-Large-Language-Models when CodeGeeX is primarily Python; Hands-On-Large-Language-Models is Jupyter Notebook; Tags unique to CodeGeeX: ai programming tools, code generation, pretrained-models; When you require support for multilingual code generation and your project has a Python-based infrastructure with CUDA GPU availability.
- 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 CodeGeeX?
- If your development environment lacks the necessary dependencies like Python 3.7+, CUDA 11+, PyTorch 1.10+, and DeepSpeed 0.6+. In scenarios where an open-source solution is not preferable or when support for exclusively one language's syntax is sufficient.
- Is Hands-On-Large-Language-Models or CodeGeeX more popular on GitHub?
- Hands-On-Large-Language-Models has more GitHub stars (28,252 vs 8,809). Stars measure visibility, not whether either tool fits your constraints.
- Are Hands-On-Large-Language-Models and CodeGeeX open source?
- Yes - both are open-source projects on GitHub (Hands-On-Large-Language-Models: Apache-2.0, CodeGeeX: Apache-2.0).
- Where can I find alternatives to Hands-On-Large-Language-Models or CodeGeeX?
- GraphCanon lists graph-backed alternatives at Hands-On-Large-Language-Models alternatives and CodeGeeX alternatives (Hands-On-Large-Language-Models markdown twin, CodeGeeX 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 CodeGeeX?
- Hands-On-Large-Language-Models: Slowing. CodeGeeX: 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 CodeGeeX?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Hands-On-Large-Language-Models trust report; CodeGeeX trust report.