--- title: "awesome-hosting vs moby" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/dalisoft-awesome-hosting-vs-moby-moby" tools: ["dalisoft-awesome-hosting", "moby-moby"] --- # awesome-hosting vs moby *GraphCanon updated Jul 11, 2026* ## Verdict Pick awesome-hosting when license: awesome-hosting is MIT, moby is Apache-2.0; pick moby when license: moby is Apache-2.0, awesome-hosting is MIT. [awesome-hosting](https://github.com/dalisoft/awesome-hosting) reports 907 GitHub stars, 93 forks, and 0 open issues, last pushed Jul 10, 2026. [moby](https://mobyproject.org/) has 72k stars, 19k forks, and 3.8k open issues, last pushed Jul 10, 2026. Figures are from public GitHub metadata via [awesome-hosting's repository](https://github.com/dalisoft/awesome-hosting) and [moby's repository](https://github.com/moby/moby). | | [awesome-hosting](/tools/dalisoft-awesome-hosting.md) | [moby](/tools/moby-moby.md) | | --- | --- | --- | | Tagline | List of awesome hosting sorted by minimal plan price | The Moby Project - a collaborative project for the container ecosystem to assemble container-based systems | | Stars | 907 | 71,899 | | Forks | 93 | 19,126 | | Open issues | 0 | 3,821 | | Language | - | Go | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | MIT | Apache-2.0 | | Categories | Inference & Serving, LLM Frameworks | Developer Tools, Inference & Serving, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [awesome-hosting](/tools/dalisoft-awesome-hosting.md) | [moby](/tools/moby-moby.md) | | --- | --- | --- | | Days since push | 0d | 1d | | Open issues (now) | 0 | 3.8k | | Owner type | User | Organization | | Security scan | No lockfile | No criticals | | Full report | [trust report](/tools/dalisoft-awesome-hosting/trust.md) | [trust report](/tools/moby-moby/trust.md) | ## Choose when ### Choose awesome-hosting if… - License: awesome-hosting is MIT, moby is Apache-2.0. - Tags unique to awesome-hosting: ai, clawdbot, cloud, database. - More recently updated (last pushed Jul 10, 2026). ### Choose moby if… - License: moby is Apache-2.0, awesome-hosting is MIT. - Tags unique to moby: containers, docker, go, golang. - Also covers Developer Tools. - moby ships Docker support for self-hosted deployment. ## When NOT to use awesome-hosting - Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ## When NOT to use moby - 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. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ## Common questions ### What is the difference between awesome-hosting and moby? awesome-hosting: List of awesome hosting sorted by minimal plan price. 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 awesome-hosting over moby? Choose awesome-hosting over moby when License: awesome-hosting is MIT, moby is Apache-2.0; Tags unique to awesome-hosting: ai, clawdbot, cloud, database; More recently updated (last pushed Jul 10, 2026). ### When should I choose moby over awesome-hosting? Choose moby over awesome-hosting when License: moby is Apache-2.0, awesome-hosting is MIT; Tags unique to moby: containers, docker, go, golang; Also covers Developer Tools; moby ships Docker support for self-hosted deployment. ### When should I avoid awesome-hosting? Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ### When should I avoid moby? 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. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ### Is awesome-hosting or moby more popular on GitHub? moby has more GitHub stars (71,899 vs 907). Stars measure visibility, not whether either tool fits your constraints. ### Are awesome-hosting and moby open source? Yes - both are open-source projects on GitHub (awesome-hosting: MIT, moby: Apache-2.0). ### Where can I find alternatives to awesome-hosting or moby? GraphCanon lists graph-backed alternatives at [awesome-hosting alternatives](/tools/dalisoft-awesome-hosting/alternatives) and [moby alternatives](/tools/moby-moby/alternatives) ([awesome-hosting markdown twin](/tools/dalisoft-awesome-hosting/alternatives.md), [moby markdown twin](/tools/moby-moby/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/dalisoft-awesome-hosting-vs-moby-moby.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, awesome-hosting or moby? awesome-hosting: 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 awesome-hosting and moby? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [awesome-hosting trust report](/tools/dalisoft-awesome-hosting/trust); [moby trust report](/tools/moby-moby/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=dalisoft-awesome-hosting`](/api/graphcanon/graph?tool=dalisoft-awesome-hosting) - 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/_