--- title: "magicoder vs CodeGeeX" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/ise-uiuc-magicoder-vs-zai-org-codegeex" tools: ["ise-uiuc-magicoder", "zai-org-codegeex"] --- # magicoder vs CodeGeeX *GraphCanon updated Aug 5, 2026* ## Verdict Pick magicoder if magicoder is a coding assistant tool that harnesses large language models to generate Python code snippets based on natural-language instruction input; pick CodeGeeX if codeGeeX is an open-source multilingual code generation model, originally developed with MindSpore and compatible with PyTorch through DeepSpeed integration. [magicoder](https://proceedings.mlr.press/v235/wei24h.html) reports 2.1k GitHub stars, 171 forks, and 4 open issues, last pushed Nov 1, 2024. [CodeGeeX](https://codegeex.cn) has 8.8k stars, 688 forks, and 188 open issues, last pushed Aug 13, 2024. Figures are from public GitHub metadata via [magicoder's repository](https://github.com/ise-uiuc/magicoder) and [CodeGeeX's repository](https://github.com/zai-org/CodeGeeX). | | [magicoder](/tools/ise-uiuc-magicoder.md) | [CodeGeeX](/tools/zai-org-codegeex.md) | | --- | --- | --- | | Tagline | A coding assistant for generating Python code snippets | CodeGeeX is an open multilingual code generation model implemented in Mindspore and available via PyTorch. | | Stars | 2,095 | 8,809 | | Forks | 171 | 688 | | Open issues | 4 | 188 | | Language | Python | Python | | Adopt for | magicoder is a coding assistant tool that harnesses large language models to generate Python code snippets based on natural-language instruction input. | CodeGeeX is an open-source multilingual code generation model, originally developed with MindSpore and compatible with PyTorch through DeepSpeed integration. | | Persona | - | - | | Runtime | - | - | | License | MIT | Apache-2.0 | | Categories | LLM Frameworks, Model Training | LLM Frameworks, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [magicoder](/tools/ise-uiuc-magicoder.md) | [CodeGeeX](/tools/zai-org-codegeex.md) | | --- | --- | --- | | Days since push | 641d | 719d | | Open issues (now) | 4 | 188 | | Full report | [trust report](/tools/ise-uiuc-magicoder/trust.md) | [trust report](/tools/zai-org-codegeex/trust.md) | ## Shared compatibility - **Python**: [magicoder](/tools/ise-uiuc-magicoder.md) - Python runtime; [CodeGeeX](/tools/zai-org-codegeex.md) - Python runtime ## Decision facts: magicoder - **Adopt for:** magicoder is a coding assistant tool that harnesses large language models to generate Python code snippets based on natural-language instruction input. ## Decision facts: CodeGeeX - **Adopt for:** CodeGeeX is an open-source multilingual code generation model, originally developed with MindSpore and compatible with PyTorch through DeepSpeed integration. ## Choose when ### Choose magicoder if… - License: magicoder is MIT, CodeGeeX is Apache-2.0. - Tags unique to magicoder: ai4code, large language models, llm, llm4code. - Use magicoder if you need high-quality and accurate Python code generation for projects in need of robust APIs, such as the example TODO list application. ### Choose CodeGeeX if… - License: CodeGeeX is Apache-2.0, magicoder is MIT. - 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 magicoder - Do not use magicoder if your project requires code generation in languages other than Python, given it specializes in generating Python snippets. - Avoid using this tool for situations where fine-grained control over the model parameters is critical; magicoder comes with specific settings that might limit customization options. ## 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. ## Common questions ### What is the difference between magicoder and CodeGeeX? magicoder: A coding assistant for generating Python code snippets. 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 magicoder over CodeGeeX? Choose magicoder over CodeGeeX when License: magicoder is MIT, CodeGeeX is Apache-2.0; Tags unique to magicoder: ai4code, large language models, llm, llm4code; Use magicoder if you need high-quality and accurate Python code generation for projects in need of robust APIs, such as the example TODO list application. ### When should I choose CodeGeeX over magicoder? Choose CodeGeeX over magicoder when License: CodeGeeX is Apache-2.0, magicoder is MIT; 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 magicoder? Do not use magicoder if your project requires code generation in languages other than Python, given it specializes in generating Python snippets. Avoid using this tool for situations where fine-grained control over the model parameters is critical; magicoder comes with specific settings that might limit customization options. ### 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 magicoder or CodeGeeX more popular on GitHub? CodeGeeX has more GitHub stars (8,809 vs 2,095). Stars measure visibility, not whether either tool fits your constraints. ### Are magicoder and CodeGeeX open source? Yes - both are open-source projects on GitHub (magicoder: MIT, CodeGeeX: Apache-2.0). ### Where can I find alternatives to magicoder or CodeGeeX? GraphCanon lists graph-backed alternatives at [magicoder alternatives](/tools/ise-uiuc-magicoder/alternatives) and [CodeGeeX alternatives](/tools/zai-org-codegeex/alternatives) ([magicoder markdown twin](/tools/ise-uiuc-magicoder/alternatives.md), [CodeGeeX markdown twin](/tools/zai-org-codegeex/alternatives.md)), 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](/compare/ise-uiuc-magicoder-vs-zai-org-codegeex.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, magicoder or CodeGeeX? magicoder: 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 magicoder and CodeGeeX? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [magicoder trust report](/tools/ise-uiuc-magicoder/trust); [CodeGeeX trust report](/tools/zai-org-codegeex/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=ise-uiuc-magicoder`](/api/graphcanon/graph?tool=ise-uiuc-magicoder) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_