Comparison
awesome-generative-ai vs CodeGeeX
Verdict
Pick awesome-generative-ai if _awesome-generative-ai_ is a comprehensive resource list focusing on the deployment of Large Language Models (LLMs) locally, aiming to cater to users looking for offline capabilities with feature-rich interfaces; 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-generative-ai alternatives · CodeGeeX alternatives
GraphCanon updated 1w
vs
Trust & integrity
| Signal | awesome-generative-ai | CodeGeeX |
|---|---|---|
| Maintenance | Active (13d since push) As of 1w · github_public_v1 | Dormant (719d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Personal account As of 1w · 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-generative-ai
- A curated list of modern Generative Artificial Intelligence projects and services
- CodeGeeX
- CodeGeeX is an open multilingual code generation model implemented in Mindspore and available via PyTorch.
Stars
- awesome-generative-ai
- 13k
- CodeGeeX
- 8.8k
Forks
- awesome-generative-ai
- 2.0k
- CodeGeeX
- 688
Open issues
- awesome-generative-ai
- 574
- CodeGeeX
- 188
Language
- awesome-generative-ai
- -
- CodeGeeX
- Python
Adopt for
- awesome-generative-ai
- _awesome-generative-ai_ is a comprehensive resource list focusing on the deployment of Large Language Models (LLMs) locally, aiming to cater to users looking for offline capabilities with feature-rich interfaces.
- CodeGeeX
- CodeGeeX is an open-source multilingual code generation model, originally developed with MindSpore and compatible with PyTorch through DeepSpeed integration.
Persona
- awesome-generative-ai
- -
- CodeGeeX
- -
Runtime
- awesome-generative-ai
- -
- CodeGeeX
- -
License
- awesome-generative-ai
- Licensed under CC0-1.0, which waives all copyright interest in its marked works worldwide.
- CodeGeeX
- Apache-2.0
Last pushed
- awesome-generative-ai
- Aug 3, 2026
- CodeGeeX
- Aug 13, 2024
Categories
- awesome-generative-ai
- Developer Tools, Inference & Serving, LLM Frameworks
- CodeGeeX
- LLM Frameworks, Model Training
Trust and health
Maintenance
- awesome-generative-ai
- Active (82%)
- CodeGeeX
- Dormant (18%)
Days since push
- awesome-generative-ai
- 13d
- CodeGeeX
- 719d
Open issues (now)
- awesome-generative-ai
- 574
- CodeGeeX
- 188
Stars delta
- awesome-generative-ai
- +160 (30d)
- CodeGeeX
- Unknown
Open issues delta
- awesome-generative-ai
- +106 (30d)
- CodeGeeX
- Unknown
Owner type
- awesome-generative-ai
- User
- CodeGeeX
- Organization
OSV dependency advisories
- awesome-generative-ai
- No lockfile (source not queried)
- CodeGeeX
- Published findings
Full report
- awesome-generative-ai
- Trust report
- CodeGeeX
- Trust report
Shared compatibility
- Python · awesome-generative-ai: Python runtime · CodeGeeX: Python runtime
Choose awesome-generative-ai if…
- License: awesome-generative-ai is CC0-1.0, CodeGeeX is Apache-2.0.
- Requirements: Min 4 GB RAM.
- Tags unique to awesome-generative-ai: ai, artificial-intelligence, awesome-list, generative-ai.
- Also covers Developer Tools, Inference & Serving.
- - When seeking **offline and comprehensive local deployment options** for large language models that require no internet access
When NOT to use awesome-generative-ai
- - Not recommended if you need real-time online resources and services, as the focus here is on **offline deployment**
- - Avoid using it if your project heavily relies on internet-accessible APIs; _awesome-generative-ai_ emphasizes offline operational capabilities
Choose CodeGeeX if…
- License: CodeGeeX is Apache-2.0, awesome-generative-ai is CC0-1.0.
- 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 (steven2358/awesome-generative-ai) · observed Aug 17, 2026
- GitHub forks (steven2358/awesome-generative-ai) · observed Aug 17, 2026
- Last push (steven2358/awesome-generative-ai) · observed Aug 3, 2026
- License file (CC0-1.0) · observed Aug 17, 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-generative-ai 13k · CodeGeeX 8.8k (synced Aug 17, 2026).
Common questions
- What is the difference between awesome-generative-ai and CodeGeeX?
- awesome-generative-ai: A curated list of modern Generative Artificial Intelligence projects and services. 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-generative-ai over CodeGeeX?
- Choose awesome-generative-ai over CodeGeeX when License: awesome-generative-ai is CC0-1.0, CodeGeeX is Apache-2.0; Requirements: Min 4 GB RAM; Tags unique to awesome-generative-ai: ai, artificial-intelligence, awesome-list, generative-ai; Also covers Developer Tools, Inference & Serving; - When seeking **offline and comprehensive local deployment options** for large language models that require no internet access.
- When should I choose CodeGeeX over awesome-generative-ai?
- Choose CodeGeeX over awesome-generative-ai when License: CodeGeeX is Apache-2.0, awesome-generative-ai is CC0-1.0; 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-generative-ai?
- - Not recommended if you need real-time online resources and services, as the focus here is on **offline deployment** - Avoid using it if your project heavily relies on internet-accessible APIs; _awesome-generative-ai_ emphasizes offline operational capabilities
- 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-generative-ai or CodeGeeX more popular on GitHub?
- awesome-generative-ai has more GitHub stars (12,501 vs 8,809). Stars measure visibility, not whether either tool fits your constraints.
- Are awesome-generative-ai and CodeGeeX open source?
- Yes - both are open-source projects on GitHub (awesome-generative-ai: CC0-1.0, CodeGeeX: Apache-2.0).
- Where can I find alternatives to awesome-generative-ai or CodeGeeX?
- GraphCanon lists graph-backed alternatives at awesome-generative-ai alternatives and CodeGeeX alternatives (awesome-generative-ai 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-generative-ai or CodeGeeX?
- awesome-generative-ai: Active. 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-generative-ai and CodeGeeX?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: awesome-generative-ai trust report; CodeGeeX trust report.