--- title: "moby vs Star-Attention" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/moby-moby-vs-nvidia-star-attention" tools: ["moby-moby", "nvidia-star-attention"] --- # moby vs Star-Attention *GraphCanon updated Jul 11, 2026* ## Verdict Pick moby when moby is primarily Go; Star-Attention is Python; pick Star-Attention when star-Attention is primarily Python; moby is Go. [moby](https://mobyproject.org/) reports 72k GitHub stars, 19k forks, and 3.8k open issues, last pushed Jul 10, 2026. [Star-Attention](https://arxiv.org/abs/2411.17116) has 393 stars, 23 forks, and 0 open issues, last pushed Jun 25, 2025. Figures are from public GitHub metadata via [moby's repository](https://github.com/moby/moby) and [Star-Attention's repository](https://github.com/NVIDIA/Star-Attention). | | [moby](/tools/moby-moby.md) | [Star-Attention](/tools/nvidia-star-attention.md) | | --- | --- | --- | | Tagline | The Moby Project - a collaborative project for the container ecosystem to assemble container-based systems | Efficient LLM Inference over Long Sequences | | Stars | 71,899 | 393 | | Forks | 19,126 | 23 | | Open issues | 3,821 | 0 | | Language | Go | Python | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Apache-2.0 | | Categories | LLM Frameworks, Inference & Serving, Developer Tools | LLM Frameworks, Inference & Serving | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [moby](/tools/moby-moby.md) | [Star-Attention](/tools/nvidia-star-attention.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Dormant (18%) | | Days since push | 1d | 380d | | Open issues (now) | 3.8k | 0 | | Security scan | No criticals | No lockfile | | Full report | [trust report](/tools/moby-moby/trust.md) | [trust report](/tools/nvidia-star-attention/trust.md) | ## Choose when ### Choose moby if… - moby is primarily Go; Star-Attention is Python. - Tags unique to moby: go, docker, golang, containers. - Also covers Developer Tools. - moby ships Docker support for self-hosted deployment. ### Choose Star-Attention if… - Star-Attention is primarily Python; moby is Go. - Tags unique to Star-Attention: python, large-language-models, attention-mechanism, llm-inference. - Leaner open-issue backlog (0). ## 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. ## When NOT to use Star-Attention - Last GitHub push was 381 days ago (dormant maintenance, Jun 25, 2025). Validate activity before betting a new project on Star-Attention. - 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. ## Common questions ### What is the difference between moby and Star-Attention? moby: The Moby Project - a collaborative project for the container ecosystem to assemble container-based systems. Star-Attention: Efficient LLM Inference over Long Sequences. See the comparison table for live GitHub stats and shared categories. ### When should I choose moby over Star-Attention? Choose moby over Star-Attention when moby is primarily Go; Star-Attention is Python; Tags unique to moby: go, docker, golang, containers; Also covers Developer Tools; moby ships Docker support for self-hosted deployment. ### When should I choose Star-Attention over moby? Choose Star-Attention over moby when Star-Attention is primarily Python; moby is Go; Tags unique to Star-Attention: python, large-language-models, attention-mechanism, llm-inference; Leaner open-issue backlog (0). ### 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. ### When should I avoid Star-Attention? Last GitHub push was 381 days ago (dormant maintenance, Jun 25, 2025). Validate activity before betting a new project on Star-Attention. 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. ### Is moby or Star-Attention more popular on GitHub? moby has more GitHub stars (71,899 vs 393). Stars measure visibility, not whether either tool fits your constraints. ### Are moby and Star-Attention open source? Yes - both are open-source projects on GitHub (moby: Apache-2.0, Star-Attention: Apache-2.0). ### Where can I find alternatives to moby or Star-Attention? GraphCanon lists graph-backed alternatives at [moby alternatives](/tools/moby-moby/alternatives) and [Star-Attention alternatives](/tools/nvidia-star-attention/alternatives) ([moby markdown twin](/tools/moby-moby/alternatives.md), [Star-Attention markdown twin](/tools/nvidia-star-attention/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/moby-moby-vs-nvidia-star-attention.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, moby or Star-Attention? moby: Very active. Star-Attention: 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 moby and Star-Attention? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [moby trust report](/tools/moby-moby/trust); [Star-Attention trust report](/tools/nvidia-star-attention/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=moby-moby`](/api/graphcanon/graph?tool=moby-moby) - 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/_