--- title: "ggrun vs openmodelz" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/raketenkater-ggrun-vs-tensorchord-openmodelz" tools: ["raketenkater-ggrun", "tensorchord-openmodelz"] --- # ggrun vs openmodelz *GraphCanon updated Aug 13, 2026* ## Verdict Pick ggrun if ggrun, an auto-tuned launcher for GGUF models using llama.cpp, offers OpenAI-compatible server support with multi-GPU tensor-split and MoE expert placement capabilities; pick openmodelz if openModelZ automates and scales large language model inferences on Kubernetes. [ggrun](https://github.com/raketenkater/ggrun) reports 264 GitHub stars, 14 forks, and 1 open issues, last pushed Aug 11, 2026. [openmodelz](https://docs.open.modelz.ai) has 282 stars, 26 forks, and 23 open issues, last pushed Nov 3, 2023. Figures are from public GitHub metadata via [ggrun's repository](https://github.com/raketenkater/ggrun) and [openmodelz's repository](https://github.com/tensorchord/openmodelz). | | [ggrun](/tools/raketenkater-ggrun.md) | [openmodelz](/tools/tensorchord-openmodelz.md) | | --- | --- | --- | | Tagline | Auto-tuned launcher for GGUF models on llama.cpp with OpenAI-compatible server | Automate and scale inference of large language models on Kubernetes. | | Stars | 264 | 282 | | Forks | 14 | 26 | | Open issues | 1 | 23 | | Language | Go | Go | | Adopt for | ggrun, an auto-tuned launcher for GGUF models using llama.cpp, offers OpenAI-compatible server support with multi-GPU tensor-split and MoE expert placement capabilities. | OpenModelZ automates and scales large language model inferences on Kubernetes. | | Persona | - | - | | Runtime | - | - | | License | MIT License allows using ggrun freely in both open source and commercial projects, with conditions that the copyright notice and permission notice are preserved. | Apache-2.0 | | Categories | Inference & Serving | Inference & Serving | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [ggrun](/tools/raketenkater-ggrun.md) | [openmodelz](/tools/tensorchord-openmodelz.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Dormant (18%) | | Days since push | 1d | 1004d | | Open issues (now) | 1 | 23 | | Owner type | User | Organization | | Full report | [trust report](/tools/raketenkater-ggrun/trust.md) | [trust report](/tools/tensorchord-openmodelz/trust.md) | ## Decision facts: ggrun - **Pricing:** freemium - Free to use under MIT license; no direct costs involved in usage. - **Adopt for:** ggrun, an auto-tuned launcher for GGUF models using llama.cpp, offers OpenAI-compatible server support with multi-GPU tensor-split and MoE expert placement capabilities. - **License detail:** MIT License allows using ggrun freely in both open source and commercial projects, with conditions that the copyright notice and permission notice are preserved. ## Decision facts: openmodelz - **Adopt for:** OpenModelZ automates and scales large language model inferences on Kubernetes. ## Choose when ### Choose ggrun if… - License: ggrun is MIT, openmodelz is Apache-2.0. - Pricing: Free to use under MIT license; no direct costs involved in usage.. - Tags unique to ggrun: cuda, gguf, golang, inference-server. - When developing systems that require automatic hardware optimization and tuning for GGUF models on multiple GPUs ### Choose openmodelz if… - License: openmodelz is Apache-2.0, ggrun is MIT. - Tags unique to openmodelz: cluster-manager, hacktoberfest, inference, llmops. - When you need automatic scaling of large language models based on current load on Kubernetes clusters. ## When NOT to use ggrun - For environments where single-GPU setups are preferred, as ggrun specializes in multi-GPU configurations and may offer limited advantage or additional complexity - When you do not require auto-tuning capabilities for hardware performance optimization since this feature is specific to ggrun ## When NOT to use openmodelz - Avoid using if your deployment setup does not include Kubernetes or another cluster management system that OpenModelZ supports. - Do not use this tool if you do not need automatic scaling features, as manual setup might be more straightforward for simpler deployments. ## Common questions ### What is the difference between ggrun and openmodelz? ggrun: Auto-tuned launcher for GGUF models on llama.cpp with OpenAI-compatible server. openmodelz: Automate and scale inference of large language models on Kubernetes.. See the comparison table for live GitHub stats and shared categories. ### When should I choose ggrun over openmodelz? Choose ggrun over openmodelz when License: ggrun is MIT, openmodelz is Apache-2.0; Pricing: Free to use under MIT license; no direct costs involved in usage.; Tags unique to ggrun: cuda, gguf, golang, inference-server; When developing systems that require automatic hardware optimization and tuning for GGUF models on multiple GPUs. ### When should I choose openmodelz over ggrun? Choose openmodelz over ggrun when License: openmodelz is Apache-2.0, ggrun is MIT; Tags unique to openmodelz: cluster-manager, hacktoberfest, inference, llmops; When you need automatic scaling of large language models based on current load on Kubernetes clusters. ### When should I avoid ggrun? For environments where single-GPU setups are preferred, as ggrun specializes in multi-GPU configurations and may offer limited advantage or additional complexity When you do not require auto-tuning capabilities for hardware performance optimization since this feature is specific to ggrun ### When should I avoid openmodelz? Avoid using if your deployment setup does not include Kubernetes or another cluster management system that OpenModelZ supports. Do not use this tool if you do not need automatic scaling features, as manual setup might be more straightforward for simpler deployments. ### Is ggrun or openmodelz more popular on GitHub? openmodelz has more GitHub stars (282 vs 264). Stars measure visibility, not whether either tool fits your constraints. ### Are ggrun and openmodelz open source? Yes - both are open-source projects on GitHub (ggrun: MIT, openmodelz: Apache-2.0). ### Where can I find alternatives to ggrun or openmodelz? GraphCanon lists graph-backed alternatives at [ggrun alternatives](/tools/raketenkater-ggrun/alternatives) and [openmodelz alternatives](/tools/tensorchord-openmodelz/alternatives) ([ggrun markdown twin](/tools/raketenkater-ggrun/alternatives.md), [openmodelz markdown twin](/tools/tensorchord-openmodelz/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/raketenkater-ggrun-vs-tensorchord-openmodelz.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, ggrun or openmodelz? ggrun: Very active. openmodelz: 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 ggrun and openmodelz? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [ggrun trust report](/tools/raketenkater-ggrun/trust); [openmodelz trust report](/tools/tensorchord-openmodelz/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=raketenkater-ggrun`](/api/graphcanon/graph?tool=raketenkater-ggrun) - 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/_