--- title: "llama3.java vs anubis-oss" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/mukel-llama3-java-vs-uncsoft-anubis-oss" tools: ["mukel-llama3-java", "uncsoft-anubis-oss"] --- # llama3.java vs anubis-oss *GraphCanon updated Aug 25, 2026* ## Verdict Pick llama3.java if llama3.java is a Java-centric tool for performing inference with Llama 3+ models without relying on external dependencies; pick anubis-oss if anubis-oss, specifically tailored for Apple Silicon devices using Swift, is distinguished by its focus on local large language model evaluation and testing within the macOS environment. [llama3.java](https://github.com/mukel/llama3.java) reports 815 GitHub stars, 94 forks, and 18 open issues, last pushed Apr 24, 2026. [anubis-oss](https://devpadapp.com/leaderboard.html) has 198 stars, 12 forks, and 4 open issues, last pushed Jun 18, 2026. Figures are from public GitHub metadata via [llama3.java's repository](https://github.com/mukel/llama3.java) and [anubis-oss's repository](https://github.com/uncSoft/anubis-oss). | | [llama3.java](/tools/mukel-llama3-java.md) | [anubis-oss](/tools/uncsoft-anubis-oss.md) | | --- | --- | --- | | Tagline | Llama 3+ inference in pure Java | Local LLM Testing & Benchmarking for Apple Silicon | | Stars | 815 | 198 | | Forks | 94 | 12 | | Open issues | 18 | 4 | | Language | Java | Swift | | Adopt for | llama3.java is a Java-centric tool for performing inference with Llama 3+ models without relying on external dependencies. | Anubis-oss, specifically tailored for Apple Silicon devices using Swift, is distinguished by its focus on local large language model evaluation and testing within the macOS environment. | | Persona | - | - | | Runtime | - | - | | License | MIT | GPL-3.0 license ensures that any derivative works related to anubis-oss must also be open source under the same licensing terms. | | Categories | Inference & Serving | Evaluation & Observability, Inference & Serving | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [llama3.java](/tools/mukel-llama3-java.md) | [anubis-oss](/tools/uncsoft-anubis-oss.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Steady (60%) | | Days since push | 122d | 56d | | Open issues (now) | 18 | 4 | | Stars delta | -1 (30d) | Unknown | | Open issues delta | 0 (30d) | Unknown | | Full report | [trust report](/tools/mukel-llama3-java/trust.md) | [trust report](/tools/uncsoft-anubis-oss/trust.md) | ## 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. ## Decision facts: anubis-oss - **Pricing:** freemium - The tool is free and open-source with no monetary costs for usage or distribution. - **Requirements:** Min 8 GB RAM - **Adopt for:** Anubis-oss, specifically tailored for Apple Silicon devices using Swift, is distinguished by its focus on local large language model evaluation and testing within the macOS environment. - **License detail:** GPL-3.0 license ensures that any derivative works related to anubis-oss must also be open source under the same licensing terms. ## Choose when ### Choose llama3.java if… - llama3.java is primarily Java; anubis-oss is Swift. - License: llama3.java is MIT, anubis-oss is GPL-3.0. - 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. ### Choose anubis-oss if… - anubis-oss is primarily Swift; llama3.java is Java. - License: anubis-oss is GPL-3.0, llama3.java is MIT. - Pricing: The tool is free and open-source with no monetary costs for usage or distribution.. - Requirements: Min 8 GB RAM. - Tags unique to anubis-oss: apple-silicon, benchmarking, gpu, inference. - Also covers Evaluation & Observability. - When developing and evaluating large language models intended to run natively on Apple Silicon hardware. ## 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. ## When NOT to use anubis-oss - If your development does not involve Apple Silicon or macOS environments as Anubis-oss is tightly integrated with these platforms. - When preferring a language other than Swift, since Anubis-oss depends on this for its operations. ## Common questions ### What is the difference between llama3.java and anubis-oss? llama3.java: Llama 3+ inference in pure Java. anubis-oss: Local LLM Testing & Benchmarking for Apple Silicon. See the comparison table for live GitHub stats and shared categories. ### When should I choose llama3.java over anubis-oss? Choose llama3.java over anubis-oss when llama3.java is primarily Java; anubis-oss is Swift; License: llama3.java is MIT, anubis-oss is GPL-3.0; 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 choose anubis-oss over llama3.java? Choose anubis-oss over llama3.java when anubis-oss is primarily Swift; llama3.java is Java; License: anubis-oss is GPL-3.0, llama3.java is MIT; Pricing: The tool is free and open-source with no monetary costs for usage or distribution.; Requirements: Min 8 GB RAM; Tags unique to anubis-oss: apple-silicon, benchmarking, gpu, inference; Also covers Evaluation & Observability; When developing and evaluating large language models intended to run natively on Apple Silicon hardware. ### 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. ### When should I avoid anubis-oss? If your development does not involve Apple Silicon or macOS environments as Anubis-oss is tightly integrated with these platforms. When preferring a language other than Swift, since Anubis-oss depends on this for its operations. ### Is llama3.java or anubis-oss more popular on GitHub? llama3.java has more GitHub stars (815 vs 198). Stars measure visibility, not whether either tool fits your constraints. ### Are llama3.java and anubis-oss open source? Yes - both are open-source projects on GitHub (llama3.java: MIT, anubis-oss: GPL-3.0). ### Where can I find alternatives to llama3.java or anubis-oss? GraphCanon lists graph-backed alternatives at [llama3.java alternatives](/tools/mukel-llama3-java/alternatives) and [anubis-oss alternatives](/tools/uncsoft-anubis-oss/alternatives) ([llama3.java markdown twin](/tools/mukel-llama3-java/alternatives.md), [anubis-oss markdown twin](/tools/uncsoft-anubis-oss/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/mukel-llama3-java-vs-uncsoft-anubis-oss.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, llama3.java or anubis-oss? llama3.java: Slowing. anubis-oss: Steady. 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 llama3.java and anubis-oss? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [llama3.java trust report](/tools/mukel-llama3-java/trust); [anubis-oss trust report](/tools/uncsoft-anubis-oss/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=mukel-llama3-java`](/api/graphcanon/graph?tool=mukel-llama3-java) - 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/_