Comparison
awesome-gpt3 vs CodeGeeX
Verdict
Pick awesome-gpt3 if awesome-gpt3 is a curated collection of demonstrations and articles illustrating the capabilities of GPT-3 in various domains such as app design, data analysis, programming, and text generation; 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-gpt3 alternatives · CodeGeeX alternatives
GraphCanon updated 2w
vs
Trust & integrity
| Signal | awesome-gpt3 | CodeGeeX |
|---|---|---|
| Maintenance | Archived (1075d since push) As of 2w · github_public_v1 | Dormant (719d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Personal account As of 2w · github_public_v1 | Not a fork · Organization account As of 3w · 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-gpt3
- A collection of demos and articles about the OpenAI GPT-3 API
- CodeGeeX
- CodeGeeX is an open multilingual code generation model implemented in Mindspore and available via PyTorch.
Stars
- awesome-gpt3
- 4.5k
- CodeGeeX
- 8.8k
Forks
- awesome-gpt3
- 345
- CodeGeeX
- 688
Open issues
- awesome-gpt3
- 26
- CodeGeeX
- 188
Language
- awesome-gpt3
- -
- CodeGeeX
- Python
Adopt for
- awesome-gpt3
- awesome-gpt3 is a curated collection of demonstrations and articles illustrating the capabilities of GPT-3 in various domains such as app design, data analysis, programming, and text generation.
- CodeGeeX
- CodeGeeX is an open-source multilingual code generation model, originally developed with MindSpore and compatible with PyTorch through DeepSpeed integration.
Persona
- awesome-gpt3
- -
- CodeGeeX
- -
Runtime
- awesome-gpt3
- -
- CodeGeeX
- -
License
- awesome-gpt3
- License information not specified, therefore usage rights are uncertain.
- CodeGeeX
- Apache-2.0
Last pushed
- awesome-gpt3
- Aug 27, 2023
- CodeGeeX
- Aug 13, 2024
Categories
- awesome-gpt3
- Model Training
- CodeGeeX
- LLM Frameworks, Model Training
Trust and health
Maintenance
- awesome-gpt3
- Archived (8%)
- CodeGeeX
- Dormant (18%)
Days since push
- awesome-gpt3
- 1075d
- CodeGeeX
- 719d
Archived on GitHub
- awesome-gpt3
- Yes
- CodeGeeX
- No
Open issues (now)
- awesome-gpt3
- 26
- CodeGeeX
- 188
Owner type
- awesome-gpt3
- User
- CodeGeeX
- Organization
OSV dependency advisories
- awesome-gpt3
- No lockfile (source not queried)
- CodeGeeX
- Published findings
Full report
- awesome-gpt3
- Trust report
- CodeGeeX
- Trust report
Shared compatibility
- Python · awesome-gpt3: Python runtime · CodeGeeX: Python runtime
Choose awesome-gpt3 if…
- Requirements: - No specific technical requirements stated except for engaging with GPT-3 through its API..
- Tags unique to awesome-gpt3: ai demos, gpt-3 applications.
- - When you are looking for specific examples of how to leverage GPT-3's powerful API across different applications ranging from code generation to creative writing.
When NOT to use awesome-gpt3
- - When seeking a direct development tool to integrate GPT-3 into your projects without further curation and customization. 'awesome-gpt3' is an example showcase rather than an SDK.
- - If you require specific implementations for certain tasks like SEO optimization or language-specific translation beyond the provided samples, as it mainly contains links to tweets and external sites
Choose CodeGeeX if…
- Tags unique to CodeGeeX: ai programming tools, code generation, pretrained-models.
- Also covers LLM Frameworks.
- 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 (elyase/awesome-gpt3) · observed Aug 6, 2026
- GitHub forks (elyase/awesome-gpt3) · observed Aug 6, 2026
- Last push (elyase/awesome-gpt3) · observed Aug 27, 2023
- 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-gpt3 4.5k · CodeGeeX 8.8k (synced Aug 6, 2026).
Common questions
- What is the difference between awesome-gpt3 and CodeGeeX?
- awesome-gpt3: A collection of demos and articles about the OpenAI GPT-3 API. 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-gpt3 over CodeGeeX?
- Choose awesome-gpt3 over CodeGeeX when Requirements: - No specific technical requirements stated except for engaging with GPT-3 through its API.; Tags unique to awesome-gpt3: ai demos, gpt-3 applications; - When you are looking for specific examples of how to leverage GPT-3's powerful API across different applications ranging from code generation to creative writing.
- When should I choose CodeGeeX over awesome-gpt3?
- Choose CodeGeeX over awesome-gpt3 when Tags unique to CodeGeeX: ai programming tools, code generation, pretrained-models; Also covers LLM Frameworks; 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-gpt3?
- - When seeking a direct development tool to integrate GPT-3 into your projects without further curation and customization. 'awesome-gpt3' is an example showcase rather than an SDK. - If you require specific implementations for certain tasks like SEO optimization or language-specific translation beyond the provided samples, as it mainly contains links to tweets and external sites
- 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-gpt3 or CodeGeeX more popular on GitHub?
- CodeGeeX has more GitHub stars (8,809 vs 4,520). Stars measure visibility, not whether either tool fits your constraints.
- Are awesome-gpt3 and CodeGeeX open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to awesome-gpt3 or CodeGeeX?
- GraphCanon lists graph-backed alternatives at awesome-gpt3 alternatives and CodeGeeX alternatives (awesome-gpt3 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-gpt3 or CodeGeeX?
- awesome-gpt3: Archived. 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-gpt3 and CodeGeeX?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: awesome-gpt3 trust report; CodeGeeX trust report.