Comparison
LLMKube vs moby
Verdict
Pick LLMKube when tags unique to LLMKube: homelab, gpu, ai, autoscaling; pick moby when tags unique to moby: go, docker, golang, containers.
Markdown twin · LLMKube alternatives · moby alternatives
GraphCanon updated today
Trust & integrity
| Signal | LLMKube | moby |
|---|---|---|
| Maintenance | Very active (0d since push) As of today · github_public_v1 | Very active (1d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of today · github_public_v1 | Not a fork · Organization account As of today · github_public_v1 |
| Security (OSV) | No criticals As of today · osv@v1 | No criticals As of today · osv@v1 |
Tagline
- LLMKube
- Kubernetes operator for self-hosted LLM inference across a heterogeneous GPU fleet: NVIDIA CUDA, AMD Vulkan, and Apple Silicon Metal. Runtimes: llama.cpp, vLLM, TGI, mlx-server. Multi-GPU sharding, mo
- moby
- The Moby Project - a collaborative project for the container ecosystem to assemble container-based systems
Stars
- LLMKube
- 163
- moby
- 72k
Forks
- LLMKube
- 24
- moby
- 19k
Open issues
- LLMKube
- 49
- moby
- 3.8k
Language
- LLMKube
- Go
- moby
- Go
Adopt for
- LLMKube
- -
- moby
- -
Persona
- LLMKube
- -
- moby
- -
Runtime
- LLMKube
- -
- moby
- -
License
- LLMKube
- Apache-2.0
- moby
- Apache-2.0
Last pushed
- LLMKube
- Jul 11, 2026
- moby
- Jul 10, 2026
Categories
- LLMKube
- LLM Frameworks, Developer Tools, Inference & Serving
- moby
- LLM Frameworks, Inference & Serving, Developer Tools
Trust and health
Days since push
- LLMKube
- 0d
- moby
- 1d
Open issues (now)
- LLMKube
- 49
- moby
- 3.8k
Full report
- LLMKube
- Trust report
- moby
- Trust report
Choose LLMKube if…
- Tags unique to LLMKube: homelab, gpu, ai, autoscaling.
- More recently updated (last pushed Jul 11, 2026).
When NOT to use LLMKube
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- Developer Tools: A gateway is overkill when you're pinned to a single provider and model.
- Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
Choose moby if…
- Tags unique to moby: go, docker, golang, containers.
- More GitHub stars (72k vs 163) - visibility, not fit.
When NOT to use moby
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
- Developer Tools: A gateway is overkill when you're pinned to a single provider and model.
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 Jul 11, 2026
- GitHub forks (defilantech/LLMKube) · observed Jul 11, 2026
- Last push (defilantech/LLMKube) · observed Jul 11, 2026
- License file (Apache-2.0) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (moby/moby) · observed Jul 11, 2026
- GitHub forks (moby/moby) · observed Jul 11, 2026
- Last push (moby/moby) · observed Jul 10, 2026
- License file (Apache-2.0) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: LLMKube 163 · moby 72k (synced Jul 11, 2026).
Common questions
- What is the difference between LLMKube and moby?
- LLMKube: Kubernetes operator for self-hosted LLM inference across a heterogeneous GPU fleet: NVIDIA CUDA, AMD Vulkan, and Apple Silicon Metal. Runtimes: llama.cpp, vLLM, TGI, mlx-server. Multi-GPU sharding, mo. moby: The Moby Project - a collaborative project for the container ecosystem to assemble container-based systems. See the comparison table for live GitHub stats and shared categories.
- When should I choose LLMKube over moby?
- Choose LLMKube over moby when Tags unique to LLMKube: homelab, gpu, ai, autoscaling; More recently updated (last pushed Jul 11, 2026).
- When should I choose moby over LLMKube?
- Choose moby over LLMKube when Tags unique to moby: go, docker, golang, containers; More GitHub stars (72k vs 163) - visibility, not fit.
- When should I avoid LLMKube?
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Developer Tools: A gateway is overkill when you're pinned to a single provider and model. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
- When should I avoid moby?
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. Developer Tools: A gateway is overkill when you're pinned to a single provider and model.
- Is LLMKube or moby more popular on GitHub?
- moby has more GitHub stars (71,899 vs 163). Stars measure visibility, not whether either tool fits your constraints.
- Are LLMKube and moby open source?
- Yes - both are open-source projects on GitHub (LLMKube: Apache-2.0, moby: Apache-2.0).
- Where can I find alternatives to LLMKube or moby?
- GraphCanon lists graph-backed alternatives at LLMKube alternatives and moby alternatives (LLMKube markdown twin, moby 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 moby?
- LLMKube: Very active. moby: Very 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 moby?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: LLMKube trust report; moby trust report.