Comparison
magicoder vs CodeGen
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 CodeGen if codeGen is a family of open-source models for program synthesis developed by Salesforce AI Research, available in various sizes from 350M to 16B parameters. It is trained on TPU-v4 and competes with OpenAI.
Markdown twin · magicoder alternatives · CodeGen alternatives
GraphCanon updated Oct 7, 2026
8views this month
vs
Trust & integrity
| Signal | magicoder | CodeGen |
|---|---|---|
| Maintenance | Dormant (704d since push) As of Oct 7, 2026 · github_public_v1 | Slowing (107d since push) As of Sep 18, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Oct 7, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 | No lockfile (source not queried) As of Sep 18, 2026 · 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
- magicoder
- A coding assistant for generating Python code snippets
- CodeGen
- A family of open-source models for program synthesis
Stars
- magicoder
- 2.1k
- CodeGen
- 5.2k
Forks
- magicoder
- 170
- CodeGen
- 420
Open issues
- magicoder
- 4
- CodeGen
- 49
Language
- magicoder
- Python
- CodeGen
- Python
Adopt for
- magicoder
- magicoder is a coding assistant tool that harnesses large language models to generate Python code snippets based on natural-language instruction input.
- CodeGen
- CodeGen is a family of open-source models for program synthesis developed by Salesforce AI Research, available in various sizes from 350M to 16B parameters. It is trained on TPU-v4 and competes with OpenAI Codex.
Persona
- magicoder
- -
- CodeGen
- -
Runtime
- magicoder
- -
- CodeGen
- -
License
- magicoder
- MIT
- CodeGen
- Apache-2.0
Last pushed
- magicoder
- Nov 1, 2024
- CodeGen
- Jun 2, 2026
Categories
- magicoder
- LLM Frameworks, Model Training
- CodeGen
- LLM Frameworks, Model Training
Trust and health
Maintenance
- magicoder
- Dormant (18%)
- CodeGen
- Slowing (36%)
Days since push
- magicoder
- 704d
- CodeGen
- 107d
Open issues (now)
- magicoder
- 4
- CodeGen
- 49
Stars delta
- magicoder
- 0 (30d)
- CodeGen
- +1 (30d)
Open issues delta
- magicoder
- 0 (30d)
- CodeGen
- +1 (30d)
Full report
- magicoder
- Trust report
- CodeGen
- Trust report
Shared compatibility
- Python · magicoder: Python runtime · CodeGen: Python runtime
Choose magicoder if…
- License: magicoder is MIT, CodeGen is Apache-2.0.
- Tags unique to magicoder: ai4code, large-language-models, 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 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.
Choose CodeGen if…
- License: CodeGen is Apache-2.0, magicoder is MIT.
- Tags unique to CodeGen: codex, generativemodel, languagemodel, programsynthesis.
- When you need an open-source alternative to proprietary models like OpenAI Codex for program synthesis.
When NOT to use CodeGen
- If your project strictly requires proprietary models with specific features not available in open-source alternatives.
- When the hardware requirements for TPU-v4 trained models are not met or are not preferred in your environment.
- If the latest version of CodeGen does not meet the specific performance or feature requirements of your project.
- For projects that require models with a different licensing model, as CodeGen is licensed under Apache-2.0.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (ise-uiuc/magicoder) · observed Oct 7, 2026
- GitHub forks (ise-uiuc/magicoder) · observed Oct 7, 2026
- Last push (ise-uiuc/magicoder) · observed Nov 1, 2024
- License file (MIT) · observed Oct 7, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (salesforce/CodeGen) · observed Sep 20, 2026
- GitHub forks (salesforce/CodeGen) · observed Sep 20, 2026
- Last push (salesforce/CodeGen) · observed Jun 2, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
GitHub stars on cards: magicoder 2.1k · CodeGen 5.2k (synced Oct 7, 2026).
Common questions
- What is the difference between magicoder and CodeGen?
- magicoder: A coding assistant for generating Python code snippets. CodeGen: A family of open-source models for program synthesis. See the comparison table for live GitHub stats and shared categories.
- When should I choose magicoder over CodeGen?
- Choose magicoder over CodeGen when License: magicoder is MIT, CodeGen is Apache-2.0; Tags unique to magicoder: ai4code, large-language-models, 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 CodeGen over magicoder?
- Choose CodeGen over magicoder when License: CodeGen is Apache-2.0, magicoder is MIT; Tags unique to CodeGen: codex, generativemodel, languagemodel, programsynthesis; When you need an open-source alternative to proprietary models like OpenAI Codex for program synthesis.
- 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 CodeGen?
- If your project strictly requires proprietary models with specific features not available in open-source alternatives. When the hardware requirements for TPU-v4 trained models are not met or are not preferred in your environment. If the latest version of CodeGen does not meet the specific performance or feature requirements of your project. For projects that require models with a different licensing model, as CodeGen is licensed under Apache-2.0.
- Is magicoder or CodeGen more popular on GitHub?
- CodeGen has more GitHub stars (5,180 vs 2,094). Stars measure visibility, not whether either tool fits your constraints.
- Are magicoder and CodeGen open source?
- Yes - both are open-source projects on GitHub (magicoder: MIT, CodeGen: Apache-2.0).
- Where can I find alternatives to magicoder or CodeGen?
- GraphCanon lists graph-backed alternatives at magicoder alternatives and CodeGen alternatives (magicoder markdown twin, CodeGen 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, magicoder or CodeGen?
- magicoder: Dormant. CodeGen: Slowing. 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 CodeGen?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: magicoder trust report; CodeGen trust report.