---
title: "anubis-oss vs deploy-llms-with-ansible"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/uncsoft-anubis-oss-vs-xamey-deploy-llms-with-ansible"
tools: ["uncsoft-anubis-oss", "xamey-deploy-llms-with-ansible"]
---

# anubis-oss vs deploy-llms-with-ansible

*GraphCanon updated Aug 13, 2026*

## Verdict

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; pick deploy-llms-with-ansible if deploy-llms-with-ansible.

[anubis-oss](https://devpadapp.com/leaderboard.html) reports 198 GitHub stars, 12 forks, and 4 open issues, last pushed Jun 18, 2026. [deploy-llms-with-ansible](https://github.com/xamey/deploy-llms-with-ansible) has 3 stars, 0 forks, and 0 open issues, last pushed May 1, 2025. Figures are from public GitHub metadata via [anubis-oss's repository](https://github.com/uncSoft/anubis-oss) and [deploy-llms-with-ansible's repository](https://github.com/xamey/deploy-llms-with-ansible).

| | [anubis-oss](/tools/uncsoft-anubis-oss.md) | [deploy-llms-with-ansible](/tools/xamey-deploy-llms-with-ansible.md) |
| --- | --- | --- |
| Tagline | Local LLM Testing & Benchmarking for Apple Silicon | Easily deploy LLMs using Ansible |
| Stars | 198 | 3 |
| Forks | 12 | 0 |
| Open issues | 4 | 0 |
| Language | Swift | - |
| 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. | deploy-llms-with-ansible |
| Persona | - | - |
| Runtime | - | - |
| License | GPL-3.0 license ensures that any derivative works related to anubis-oss must also be open source under the same licensing terms. | - |
| Categories | Evaluation & Observability, Inference & Serving | Inference & Serving |

## Trust and health

_Sourced signals - not a safety guarantee. No winner column._

| | [anubis-oss](/tools/uncsoft-anubis-oss.md) | [deploy-llms-with-ansible](/tools/xamey-deploy-llms-with-ansible.md) |
| --- | --- | --- |
| Maintenance | Steady (60%) | Dormant (18%) |
| Days since push | 56d | 462d |
| Open issues (now) | 4 | 0 |
| Full report | [trust report](/tools/uncsoft-anubis-oss/trust.md) | [trust report](/tools/xamey-deploy-llms-with-ansible/trust.md) |

## 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.

## Decision facts: deploy-llms-with-ansible

- **Pricing:** unknown
- **Requirements:** Requires Docker; Requires Ansible installed and configured on the local machine.; Debian-based VM with SSH access and Docker must be present.
- **Adopt for:** deploy-llms-with-ansible

## Choose when

### Choose anubis-oss if…

- 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.

### Choose deploy-llms-with-ansible if…

- Requirements: Requires Docker; Requires Ansible installed and configured on the local machine.; Debian-based VM with SSH access and Docker must be present..
- Tags unique to deploy-llms-with-ansible: ansible, deployment, docker, llama-cpp.
- When you prefer using Ansible to automate the deployment of LLMs on a Debian-based virtual machine equipped with Docker.

## 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.

## When NOT to use deploy-llms-with-ansible

- When working in an environment that uses alternative automation tools like Terraform or Chef, as this tool specifically requires Ansible knowledge.
- If the infrastructure does not support or permit the use of Docker for containerizing applications.
- In cases where extensive customization of models beyond what llama.cpp and Ollama offer is required.

## Common questions

### What is the difference between anubis-oss and deploy-llms-with-ansible?

anubis-oss: Local LLM Testing & Benchmarking for Apple Silicon. deploy-llms-with-ansible: Easily deploy LLMs using Ansible. See the comparison table for live GitHub stats and shared categories.

### When should I choose anubis-oss over deploy-llms-with-ansible?

Choose anubis-oss over deploy-llms-with-ansible when 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 choose deploy-llms-with-ansible over anubis-oss?

Choose deploy-llms-with-ansible over anubis-oss when Requirements: Requires Docker; Requires Ansible installed and configured on the local machine.; Debian-based VM with SSH access and Docker must be present.; Tags unique to deploy-llms-with-ansible: ansible, deployment, docker, llama-cpp; When you prefer using Ansible to automate the deployment of LLMs on a Debian-based virtual machine equipped with Docker.

### 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.

### When should I avoid deploy-llms-with-ansible?

When working in an environment that uses alternative automation tools like Terraform or Chef, as this tool specifically requires Ansible knowledge. If the infrastructure does not support or permit the use of Docker for containerizing applications. In cases where extensive customization of models beyond what llama.cpp and Ollama offer is required.

### Is anubis-oss or deploy-llms-with-ansible more popular on GitHub?

anubis-oss has more GitHub stars (198 vs 3). Stars measure visibility, not whether either tool fits your constraints.

### Are anubis-oss and deploy-llms-with-ansible open source?

Yes - both are open-source projects on GitHub.

### Where can I find alternatives to anubis-oss or deploy-llms-with-ansible?

GraphCanon lists graph-backed alternatives at [anubis-oss alternatives](/tools/uncsoft-anubis-oss/alternatives) and [deploy-llms-with-ansible alternatives](/tools/xamey-deploy-llms-with-ansible/alternatives) ([anubis-oss markdown twin](/tools/uncsoft-anubis-oss/alternatives.md), [deploy-llms-with-ansible markdown twin](/tools/xamey-deploy-llms-with-ansible/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/uncsoft-anubis-oss-vs-xamey-deploy-llms-with-ansible.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, anubis-oss or deploy-llms-with-ansible?

anubis-oss: Steady. deploy-llms-with-ansible: 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 anubis-oss and deploy-llms-with-ansible?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [anubis-oss trust report](/tools/uncsoft-anubis-oss/trust); [deploy-llms-with-ansible trust report](/tools/xamey-deploy-llms-with-ansible/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=uncsoft-anubis-oss`](/api/graphcanon/graph?tool=uncsoft-anubis-oss)
- 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/_