--- title: "harbor vs moby" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/av-harbor-vs-moby-moby" tools: ["av-harbor", "moby-moby"] --- # harbor vs moby *GraphCanon updated Jul 15, 2026* ## Verdict Pick harbor when harbor is primarily Python; moby is Go; pick moby when moby is primarily Go; harbor is Python. [harbor](https://discord.gg/8nDRphrhSF) reports 3.1k GitHub stars, 212 forks, and 56 open issues, last pushed Jun 21, 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 [harbor's repository](https://github.com/av/harbor) and [moby's repository](https://github.com/moby/moby). | | [harbor](/tools/av-harbor.md) | [moby](/tools/moby-moby.md) | | --- | --- | --- | | Tagline | Stop configuring your AI stack. Start using it. One command brings a complete pre-wired LLM stack with hundreds of services to explore. | The Moby Project - a collaborative project for the container ecosystem to assemble container-based systems | | Stars | 3,140 | 71,899 | | Forks | 212 | 19,126 | | Open issues | 56 | 3,821 | | Language | Python | Go | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Apache-2.0 | | Categories | Developer Tools, LLM Frameworks | Developer Tools, Inference & Serving, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [harbor](/tools/av-harbor.md) | [moby](/tools/moby-moby.md) | | --- | --- | --- | | Maintenance | Active (82%) | Very active (96%) | | Days since push | 24d | 1d | | Open issues (now) | 56 | 3.8k | | Owner type | User | Organization | | Full report | [trust report](/tools/av-harbor/trust.md) | [trust report](/tools/moby-moby/trust.md) | ## Choose when ### Choose harbor if… - harbor is primarily Python; moby is Go. - Tags unique to harbor: ai, automation, bash, cli. - Leaner open-issue backlog (56). ### Choose moby if… - moby is primarily Go; harbor is Python. - Tags unique to moby: containers, go, golang. - Also covers Inference & Serving. - moby ships Docker support for self-hosted deployment. ## When NOT to use harbor - Developer Tools: A gateway is overkill when you're pinned to a single provider and model. - 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 harbor and moby? harbor: Stop configuring your AI stack. Start using it. One command brings a complete pre-wired LLM stack with hundreds of services to explore.. 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 harbor over moby? Choose harbor over moby when harbor is primarily Python; moby is Go; Tags unique to harbor: ai, automation, bash, cli; Leaner open-issue backlog (56). ### When should I choose moby over harbor? Choose moby over harbor when moby is primarily Go; harbor is Python; Tags unique to moby: containers, go, golang; Also covers Inference & Serving; moby ships Docker support for self-hosted deployment. ### When should I avoid harbor? Developer Tools: A gateway is overkill when you're pinned to a single provider and model. 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 harbor or moby more popular on GitHub? moby has more GitHub stars (71,899 vs 3,140). Stars measure visibility, not whether either tool fits your constraints. ### Are harbor and moby open source? Yes - both are open-source projects on GitHub (harbor: Apache-2.0, moby: Apache-2.0). ### Where can I find alternatives to harbor or moby? GraphCanon lists graph-backed alternatives at [harbor alternatives](/tools/av-harbor/alternatives) and [moby alternatives](/tools/moby-moby/alternatives) ([harbor markdown twin](/tools/av-harbor/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/av-harbor-vs-moby-moby.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, harbor or moby? harbor: 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 harbor and moby? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [harbor trust report](/tools/av-harbor/trust); [moby trust report](/tools/moby-moby/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=av-harbor`](/api/graphcanon/graph?tool=av-harbor) - 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/_