Comparison
awesome-gpt vs CodeGeeX
Verdict
Pick awesome-gpt if awesome-gpt is a curated list of GPT and related resources, serving as a reference for developers exploring or working with large language models and their applications; 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 · awesome-gpt alternatives · CodeGeeX alternatives
GraphCanon updated 1w
vs
Trust & integrity
| Signal | awesome-gpt | CodeGeeX |
|---|---|---|
| Maintenance | Dormant (799d since push) As of 1w · github_public_v1 | Dormant (719d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Personal account As of 1w · 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
- awesome-gpt
- Curated list of GPT and related resources
- CodeGeeX
- CodeGeeX is an open multilingual code generation model implemented in Mindspore and available via PyTorch.
Stars
- awesome-gpt
- 1.0k
- CodeGeeX
- 8.8k
Forks
- awesome-gpt
- 75
- CodeGeeX
- 688
Open issues
- awesome-gpt
- 27
- CodeGeeX
- 188
Language
- awesome-gpt
- -
- CodeGeeX
- Python
Adopt for
- awesome-gpt
- awesome-gpt is a curated list of GPT and related resources, serving as a reference for developers exploring or working with large language models and their applications.
- CodeGeeX
- CodeGeeX is an open-source multilingual code generation model, originally developed with MindSpore and compatible with PyTorch through DeepSpeed integration.
Persona
- awesome-gpt
- -
- CodeGeeX
- -
Runtime
- awesome-gpt
- -
- CodeGeeX
- -
License
- awesome-gpt
- -
- CodeGeeX
- Apache-2.0
Last pushed
- awesome-gpt
- May 29, 2024
- CodeGeeX
- Aug 13, 2024
Categories
- awesome-gpt
- Developer Tools, LLM Frameworks
- CodeGeeX
- LLM Frameworks, Model Training
Trust and health
Days since push
- awesome-gpt
- 799d
- CodeGeeX
- 719d
Open issues (now)
- awesome-gpt
- 27
- CodeGeeX
- 188
Owner type
- awesome-gpt
- User
- CodeGeeX
- Organization
OSV dependency advisories
- awesome-gpt
- No lockfile (source not queried)
- CodeGeeX
- Published findings
Full report
- awesome-gpt
- Trust report
- CodeGeeX
- Trust report
Choose awesome-gpt if…
- Pricing: Information about pricing is unavailable and likely does not apply as this is a curated list rather than a software service with licensing costs..
- Requirements: Since awesome-gpt is an informational repository, it itself does not have RAM requirements or Docker needs. However, users might require internet access to view.
- Tags unique to awesome-gpt: chatgpt, gpt, llm, openai.
- Also covers Developer Tools.
- Use awesome-gpt if you are looking for a comprehensive collection of links and resources specifically focused on GPT, ChatGPT, OpenAI products, and other large-scale AI tools.
When NOT to use awesome-gpt
- Avoid using awesome-gpt if you need detailed tutorials or in-depth technical documentation, as it primarily functions as an index of resources rather than an educational material provider.
- Do not rely on awesome-gpt for real-time updates or specific usage statistics, tool availability, or pricing plans since the repository relies heavily on links external to its curation.
Choose CodeGeeX if…
- Tags unique to CodeGeeX: ai programming tools, code generation, pretrained-models.
- Also covers Model Training.
- 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 (formulahendry/awesome-gpt) · observed Aug 6, 2026
- GitHub forks (formulahendry/awesome-gpt) · observed Aug 6, 2026
- Last push (formulahendry/awesome-gpt) · observed May 29, 2024
- License file (unknown) · observed Aug 6, 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: awesome-gpt 1.0k · CodeGeeX 8.8k (synced Aug 6, 2026).
Common questions
- What is the difference between awesome-gpt and CodeGeeX?
- awesome-gpt: Curated list of GPT and related resources. 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 awesome-gpt over CodeGeeX?
- Choose awesome-gpt over CodeGeeX when Pricing: Information about pricing is unavailable and likely does not apply as this is a curated list rather than a software service with licensing costs.; Requirements: Since awesome-gpt is an informational repository, it itself does not have RAM requirements or Docker needs. However, users might require internet access to view; Tags unique to awesome-gpt: chatgpt, gpt, llm, openai; Also covers Developer Tools; Use awesome-gpt if you are looking for a comprehensive collection of links and resources specifically focused on GPT, ChatGPT, OpenAI products, and other large-scale AI tools.
- When should I choose CodeGeeX over awesome-gpt?
- Choose CodeGeeX over awesome-gpt when Tags unique to CodeGeeX: ai programming tools, code generation, pretrained-models; Also covers Model Training; When you require support for multilingual code generation and your project has a Python-based infrastructure with CUDA GPU availability.
- When should I avoid awesome-gpt?
- Avoid using awesome-gpt if you need detailed tutorials or in-depth technical documentation, as it primarily functions as an index of resources rather than an educational material provider. Do not rely on awesome-gpt for real-time updates or specific usage statistics, tool availability, or pricing plans since the repository relies heavily on links external to its curation.
- 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 awesome-gpt or CodeGeeX more popular on GitHub?
- CodeGeeX has more GitHub stars (8,809 vs 1,043). Stars measure visibility, not whether either tool fits your constraints.
- Are awesome-gpt and CodeGeeX open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to awesome-gpt or CodeGeeX?
- GraphCanon lists graph-backed alternatives at awesome-gpt alternatives and CodeGeeX alternatives (awesome-gpt 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, awesome-gpt or CodeGeeX?
- awesome-gpt: Dormant. 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 awesome-gpt and CodeGeeX?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: awesome-gpt trust report; CodeGeeX trust report.