--- title: "codellama vs llama3.java" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/meta-llama-codellama-vs-mukel-llama3-java" tools: ["meta-llama-codellama", "mukel-llama3-java"] --- # codellama vs llama3.java *GraphCanon updated Aug 25, 2026* ## Verdict Pick codellama if codellama offers an open-source inference framework for CodeLlama models using Python; pick llama3.java if llama3.java is a Java-centric tool for performing inference with Llama 3+ models without relying on external dependencies. [codellama](https://github.com/meta-llama/codellama) reports 16k GitHub stars, 1.9k forks, and 116 open issues, last pushed Aug 12, 2024. [llama3.java](https://github.com/mukel/llama3.java) has 815 stars, 94 forks, and 18 open issues, last pushed Apr 24, 2026. Figures are from public GitHub metadata via [codellama's repository](https://github.com/meta-llama/codellama) and [llama3.java's repository](https://github.com/mukel/llama3.java). | | [codellama](/tools/meta-llama-codellama.md) | [llama3.java](/tools/mukel-llama3-java.md) | | --- | --- | --- | | Tagline | Inference code for CodeLlama models | Llama 3+ inference in pure Java | | Stars | 16,280 | 815 | | Forks | 1,939 | 94 | | Open issues | 116 | 18 | | Language | Python | Java | | Adopt for | codellama offers an open-source inference framework for CodeLlama models using Python. | llama3.java is a Java-centric tool for performing inference with Llama 3+ models without relying on external dependencies. | | Persona | - | - | | Runtime | - | - | | License | Other | MIT | | Categories | Inference & Serving | Inference & Serving | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [codellama](/tools/meta-llama-codellama.md) | [llama3.java](/tools/mukel-llama3-java.md) | | --- | --- | --- | | Maintenance | Archived (8%) | Slowing (36%) | | Days since push | 722d | 122d | | Archived on GitHub | Yes | No | | Open issues (now) | 116 | 18 | | Stars delta | Unknown | -1 (30d) | | Open issues delta | Unknown | 0 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/meta-llama-codellama/trust.md) | [trust report](/tools/mukel-llama3-java/trust.md) | ## Decision facts: codellama - **Pricing:** freemium - codellama operates on an open-source model with freedoms for both researchers and commercial entities. Costs will arise from hosting and running environments where required. - **Requirements:** Users should familiarize themselves with the acceptable use policy to align their projects accordingly.; Dependencies include Python, which must be installed for using codellama. - **Adopt for:** codellama offers an open-source inference framework for CodeLlama models using Python. ## Decision facts: llama3.java - **Adopt for:** llama3.java is a Java-centric tool for performing inference with Llama 3+ models without relying on external dependencies. ## Choose when ### Choose codellama if… - codellama is primarily Python; llama3.java is Java. - License: codellama is Other, llama3.java is MIT. - Pricing: codellama operates on an open-source model with freedoms for both researchers and commercial entities. Costs will arise from hosting and running environments where required.. - Requirements: Users should familiarize themselves with the acceptable use policy to align their projects accordingly.; Dependencies include Python, which must be installed for using codellama.. - Tags unique to codellama: codellama, inference, python. - If you need to work with the CodeLlama models specifically and benefit from their specialized capabilities in coding tasks, codellama provides tailored support that may outperform generic solutions. ### Choose llama3.java if… - llama3.java is primarily Java; codellama is Python. - License: llama3.java is MIT, codellama is Other. - Tags unique to llama3.java: chatgpt, genai, gguf, huggingface. - Use llama3.java when you require language model inference capabilities fully implemented in Java, ensuring consistency within Java-based projects. ## When NOT to use codellama - If you are working on projects that do not align with CodeLlama's acceptable use policy or require compliance with specific industry standards beyond what codellama offers. - For tasks that demand a different primary programming language other than Python, as codellama is primarily developed around the Python ecosystem. ## When NOT to use llama3.java - Avoid using llama3.java if your project needs specific features such as real-time chat integration that may be better supported by more specialized libraries. - Do opt for a different tool if you prioritize performance metrics over the convenience of having an entirely Java-based solution, as competing tools might offer optimizations not found in llama3.java. ## Common questions ### What is the difference between codellama and llama3.java? codellama: Inference code for CodeLlama models. llama3.java: Llama 3+ inference in pure Java. See the comparison table for live GitHub stats and shared categories. ### When should I choose codellama over llama3.java? Choose codellama over llama3.java when codellama is primarily Python; llama3.java is Java; License: codellama is Other, llama3.java is MIT; Pricing: codellama operates on an open-source model with freedoms for both researchers and commercial entities. Costs will arise from hosting and running environments where required.; Requirements: Users should familiarize themselves with the acceptable use policy to align their projects accordingly.; Dependencies include Python, which must be installed for using codellama.; Tags unique to codellama: codellama, inference, python; If you need to work with the CodeLlama models specifically and benefit from their specialized capabilities in coding tasks, codellama provides tailored support that may outperform generic solutions. ### When should I choose llama3.java over codellama? Choose llama3.java over codellama when llama3.java is primarily Java; codellama is Python; License: llama3.java is MIT, codellama is Other; Tags unique to llama3.java: chatgpt, genai, gguf, huggingface; Use llama3.java when you require language model inference capabilities fully implemented in Java, ensuring consistency within Java-based projects. ### When should I avoid codellama? If you are working on projects that do not align with CodeLlama's acceptable use policy or require compliance with specific industry standards beyond what codellama offers. For tasks that demand a different primary programming language other than Python, as codellama is primarily developed around the Python ecosystem. ### When should I avoid llama3.java? Avoid using llama3.java if your project needs specific features such as real-time chat integration that may be better supported by more specialized libraries. Do opt for a different tool if you prioritize performance metrics over the convenience of having an entirely Java-based solution, as competing tools might offer optimizations not found in llama3.java. ### Is codellama or llama3.java more popular on GitHub? codellama has more GitHub stars (16,280 vs 815). Stars measure visibility, not whether either tool fits your constraints. ### Are codellama and llama3.java open source? Yes - both are open-source projects on GitHub (codellama: Other, llama3.java: MIT). ### Where can I find alternatives to codellama or llama3.java? GraphCanon lists graph-backed alternatives at [codellama alternatives](/tools/meta-llama-codellama/alternatives) and [llama3.java alternatives](/tools/mukel-llama3-java/alternatives) ([codellama markdown twin](/tools/meta-llama-codellama/alternatives.md), [llama3.java markdown twin](/tools/mukel-llama3-java/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/meta-llama-codellama-vs-mukel-llama3-java.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, codellama or llama3.java? codellama: Archived. llama3.java: 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 codellama and llama3.java? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [codellama trust report](/tools/meta-llama-codellama/trust); [llama3.java trust report](/tools/mukel-llama3-java/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=meta-llama-codellama`](/api/graphcanon/graph?tool=meta-llama-codellama) - 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/_