Comparison
LLMKube vs anubis-oss
Verdict
Pick LLMKube if lLMKube is a Kubernetes operator for deploying and managing self-hosted large language model inference services on various GPU architectures, including NVIDIA CUDA, AMD Vulkan, and Apple Silicon Metal. It supports runtim; 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.
Markdown twin · LLMKube alternatives · anubis-oss alternatives
GraphCanon updated Sep 20, 2026
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Trust & integrity
| Signal | LLMKube | anubis-oss |
|---|---|---|
| Maintenance | Very active (0d since push) As of Sep 18, 2026 · github_public_v1 | Active (15d since push) As of Sep 20, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 | Not a fork · Personal account As of Sep 20, 2026 · github_public_v1 |
| OSV dependency advisories | Published findings As of Sep 18, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 15, 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
- LLMKube
- Kubernetes operator for self-hosted LLM inference across heterogeneous GPU fleets
- anubis-oss
- Local LLM Testing & Benchmarking for Apple Silicon
Stars
- LLMKube
- 210
- anubis-oss
- 207
Forks
- LLMKube
- 33
- anubis-oss
- 15
Open issues
- LLMKube
- 98
- anubis-oss
- 1
Language
- LLMKube
- Go
- anubis-oss
- Swift
Adopt for
- LLMKube
- LLMKube is a Kubernetes operator for deploying and managing self-hosted large language model inference services on various GPU architectures, including NVIDIA CUDA, AMD Vulkan, and Apple Silicon Metal. It supports runtim
- anubis-oss
- 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
- LLMKube
- -
- anubis-oss
- -
Runtime
- LLMKube
- -
- anubis-oss
- -
License
- LLMKube
- Apache-2.0
- anubis-oss
- GPL-3.0 license ensures that any derivative works related to anubis-oss must also be open source under the same licensing terms.
Last pushed
- LLMKube
- Sep 17, 2026
- anubis-oss
- Sep 5, 2026
Categories
- LLMKube
- Inference & Serving
- anubis-oss
- Evaluation & Observability, Inference & Serving
Trust and health
Maintenance
- LLMKube
- Very active (96%)
- anubis-oss
- Active (82%)
Days since push
- LLMKube
- 0d
- anubis-oss
- 15d
Open issues (now)
- LLMKube
- 98
- anubis-oss
- 1
Stars delta
- LLMKube
- +27 (30d)
- anubis-oss
- +9 (30d)
Open issues delta
- LLMKube
- +21 (30d)
- anubis-oss
- -3 (30d)
Owner type
- LLMKube
- Organization
- anubis-oss
- User
OSV dependency advisories
- LLMKube
- Published findings
- anubis-oss
- No lockfile (source not queried)
Full report
- LLMKube
- Trust report
- anubis-oss
- Trust report
Choose LLMKube if…
- LLMKube is primarily Go; anubis-oss is Swift.
- License: LLMKube is Apache-2.0, anubis-oss is GPL-3.0.
- Pricing: Free and open-source under the Apache-2.0 license..
- Requirements: Requires a Kubernetes cluster for installation and operation.; Supports deployment on a variety of GPU architectures, including NVIDIA CUDA, AMD Vulkan, and Apple Silicon Metal..
- Tags unique to LLMKube: ai, autoscaling, edge-computing, gguf.
- LLMKube ships Docker support for self-hosted deployment.
- When you need to deploy and manage self-hosted large language model inference services across a variety of GPU architectures, including NVIDIA CUDA, AMD Vulkan, and Apple Silicon Metal.
When NOT to use LLMKube
- If your infrastructure does not include a Kubernetes cluster, as LLMKube is designed to operate within a Kubernetes environment.
- If you are looking for a solution that does not support a heterogeneous mix of GPU architectures, LLMKube is specifically designed to work with NVIDIA CUDA, AMD Vulkan, and Apple Silicon Metal.
- If you do not require or prefer not to use the specific runtimes supported by LLMKube, such as llama.cpp, vLLM, TGI, and mlx-server.
Choose anubis-oss if…
- anubis-oss is primarily Swift; LLMKube is Go.
- License: anubis-oss is GPL-3.0, LLMKube is Apache-2.0.
- 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: benchmarking, llm, local-llm, macos.
- Also covers Evaluation & Observability.
- When developing and evaluating large language models intended to run natively on Apple Silicon hardware.
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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (defilantech/LLMKube) · observed Sep 20, 2026
- GitHub forks (defilantech/LLMKube) · observed Sep 20, 2026
- Last push (defilantech/LLMKube) · observed Sep 17, 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 (uncSoft/anubis-oss) · observed Sep 20, 2026
- GitHub forks (uncSoft/anubis-oss) · observed Sep 20, 2026
- Last push (uncSoft/anubis-oss) · observed Sep 5, 2026
- License file (GPL-3.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: LLMKube 210 · anubis-oss 207 (synced Sep 20, 2026).
Common questions
- What is the difference between LLMKube and anubis-oss?
- LLMKube: Kubernetes operator for self-hosted LLM inference across heterogeneous GPU fleets. anubis-oss: Local LLM Testing & Benchmarking for Apple Silicon. See the comparison table for live GitHub stats and shared categories.
- When should I choose LLMKube over anubis-oss?
- Choose LLMKube over anubis-oss when LLMKube is primarily Go; anubis-oss is Swift; License: LLMKube is Apache-2.0, anubis-oss is GPL-3.0; Pricing: Free and open-source under the Apache-2.0 license.; Requirements: Requires a Kubernetes cluster for installation and operation.; Supports deployment on a variety of GPU architectures, including NVIDIA CUDA, AMD Vulkan, and Apple Silicon Metal.; Tags unique to LLMKube: ai, autoscaling, edge-computing, gguf; LLMKube ships Docker support for self-hosted deployment; When you need to deploy and manage self-hosted large language model inference services across a variety of GPU architectures, including NVIDIA CUDA, AMD Vulkan, and Apple Silicon Metal.
- When should I choose anubis-oss over LLMKube?
- Choose anubis-oss over LLMKube when anubis-oss is primarily Swift; LLMKube is Go; License: anubis-oss is GPL-3.0, LLMKube is Apache-2.0; 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: benchmarking, llm, local-llm, macos; Also covers Evaluation & Observability; When developing and evaluating large language models intended to run natively on Apple Silicon hardware.
- When should I avoid LLMKube?
- If your infrastructure does not include a Kubernetes cluster, as LLMKube is designed to operate within a Kubernetes environment. If you are looking for a solution that does not support a heterogeneous mix of GPU architectures, LLMKube is specifically designed to work with NVIDIA CUDA, AMD Vulkan, and Apple Silicon Metal. If you do not require or prefer not to use the specific runtimes supported by LLMKube, such as llama.cpp, vLLM, TGI, and mlx-server.
- 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 LLMKube or anubis-oss more popular on GitHub?
- LLMKube has more GitHub stars (210 vs 207). Stars measure visibility, not whether either tool fits your constraints.
- Are LLMKube and anubis-oss open source?
- Yes - both are open-source projects on GitHub (LLMKube: Apache-2.0, anubis-oss: GPL-3.0).
- Where can I find alternatives to LLMKube or anubis-oss?
- GraphCanon lists graph-backed alternatives at LLMKube alternatives and anubis-oss alternatives (LLMKube markdown twin, anubis-oss 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, LLMKube or anubis-oss?
- LLMKube: Very active. anubis-oss: Active. 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 LLMKube and anubis-oss?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: LLMKube trust report; anubis-oss trust report.