--- title: "atlas vs anubis-oss" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/avarok-cybersecurity-atlas-vs-uncsoft-anubis-oss" tools: ["avarok-cybersecurity-atlas", "uncsoft-anubis-oss"] --- # atlas vs anubis-oss *GraphCanon updated Aug 25, 2026* ## Verdict Pick atlas if focuses on efficient and scalable model deployment with Rust, supporting various GPU technologies and inference frameworks; 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. [atlas](https://atlasinference.io) reports 667 GitHub stars, 102 forks, and 161 open issues, last pushed Aug 25, 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 [atlas's repository](https://github.com/Avarok-Cybersecurity/atlas) and [anubis-oss's repository](https://github.com/uncSoft/anubis-oss). | | [atlas](/tools/avarok-cybersecurity-atlas.md) | [anubis-oss](/tools/uncsoft-anubis-oss.md) | | --- | --- | --- | | Tagline | Pure Rust Inference Engine | Local LLM Testing & Benchmarking for Apple Silicon | | Stars | 667 | 198 | | Forks | 102 | 12 | | Open issues | 161 | 4 | | Language | Rust | Swift | | Adopt for | Focuses on efficient and scalable model deployment with Rust, supporting various GPU technologies and inference frameworks. | 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 | AGPL-3.0 | 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._ | | [atlas](/tools/avarok-cybersecurity-atlas.md) | [anubis-oss](/tools/uncsoft-anubis-oss.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Steady (60%) | | Days since push | 0d | 56d | | Open issues (now) | 161 | 4 | | Stars delta | +57 (30d) | Unknown | | Open issues delta | +92 (30d) | Unknown | | Owner type | Organization | User | | Full report | [trust report](/tools/avarok-cybersecurity-atlas/trust.md) | [trust report](/tools/uncsoft-anubis-oss/trust.md) | ## Decision facts: atlas - **Adopt for:** Focuses on efficient and scalable model deployment with Rust, supporting various GPU technologies and inference frameworks. ## 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 atlas if… - atlas is primarily Rust; anubis-oss is Swift. - License: atlas is AGPL-3.0, anubis-oss is GPL-3.0. - Tags unique to atlas: cuda, dgx, dgx-spark, gb10. - When aiming for high-performance Rust-based deployment that leverages hardware accelerators like NVIDIA DGX systems and Cuda technology. ### Choose anubis-oss if… - anubis-oss is primarily Swift; atlas is Rust. - License: anubis-oss is GPL-3.0, atlas is AGPL-3.0. - 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 atlas - Avoid if you prefer tools in languages other than Rust for inference engines, since this is purely designed in Rust. - Not ideal if your deployment environment does not support NVIDIA GPU technologies such as DGX, which are key to maximize performance with Atlas. ## 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 atlas and anubis-oss? atlas: Pure Rust Inference Engine. anubis-oss: Local LLM Testing & Benchmarking for Apple Silicon. See the comparison table for live GitHub stats and shared categories. ### When should I choose atlas over anubis-oss? Choose atlas over anubis-oss when atlas is primarily Rust; anubis-oss is Swift; License: atlas is AGPL-3.0, anubis-oss is GPL-3.0; Tags unique to atlas: cuda, dgx, dgx-spark, gb10; When aiming for high-performance Rust-based deployment that leverages hardware accelerators like NVIDIA DGX systems and Cuda technology. ### When should I choose anubis-oss over atlas? Choose anubis-oss over atlas when anubis-oss is primarily Swift; atlas is Rust; License: anubis-oss is GPL-3.0, atlas is AGPL-3.0; 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 atlas? Avoid if you prefer tools in languages other than Rust for inference engines, since this is purely designed in Rust. Not ideal if your deployment environment does not support NVIDIA GPU technologies such as DGX, which are key to maximize performance with Atlas. ### 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 atlas or anubis-oss more popular on GitHub? atlas has more GitHub stars (667 vs 198). Stars measure visibility, not whether either tool fits your constraints. ### Are atlas and anubis-oss open source? Yes - both are open-source projects on GitHub (atlas: AGPL-3.0, anubis-oss: GPL-3.0). ### Where can I find alternatives to atlas or anubis-oss? GraphCanon lists graph-backed alternatives at [atlas alternatives](/tools/avarok-cybersecurity-atlas/alternatives) and [anubis-oss alternatives](/tools/uncsoft-anubis-oss/alternatives) ([atlas markdown twin](/tools/avarok-cybersecurity-atlas/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/avarok-cybersecurity-atlas-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, atlas or anubis-oss? atlas: Very active. 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 atlas and anubis-oss? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [atlas trust report](/tools/avarok-cybersecurity-atlas/trust); [anubis-oss trust report](/tools/uncsoft-anubis-oss/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=avarok-cybersecurity-atlas`](/api/graphcanon/graph?tool=avarok-cybersecurity-atlas) - 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/_