--- title: "moby vs APT" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/moby-moby-vs-rnchg-apt" tools: ["moby-moby", "rnchg-apt"] --- # moby vs APT *GraphCanon updated Jul 11, 2026* ## Verdict Pick moby when moby is primarily Go; APT is C#; pick APT when aPT is primarily C#; moby is Go. [moby](https://mobyproject.org/) reports 72k GitHub stars, 19k forks, and 3.8k open issues, last pushed Jul 10, 2026. [APT](https://github.com/rnchg/APT) has 771 stars, 84 forks, and 12 open issues, last pushed Dec 13, 2025. Figures are from public GitHub metadata via [moby's repository](https://github.com/moby/moby) and [APT's repository](https://github.com/rnchg/APT). | | [moby](/tools/moby-moby.md) | [APT](/tools/rnchg-apt.md) | | --- | --- | --- | | Tagline | The Moby Project - a collaborative project for the container ecosystem to assemble container-based systems | AI Productivity Tool - Free and open source, improve user productivity, and protect privacy and data security. Including but not limited to: built-in local exclusive ChatGPT, DeepSeek, Phi, Qwen and o | | Stars | 71,899 | 771 | | Forks | 19,126 | 84 | | Open issues | 3,821 | 12 | | Language | Go | C# | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | MIT | | Categories | LLM Frameworks, Inference & Serving, Developer Tools | LLM Frameworks, Speech & Audio, Inference & Serving | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [moby](/tools/moby-moby.md) | [APT](/tools/rnchg-apt.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Slowing (36%) | | Days since push | 1d | 209d | | Open issues (now) | 3.8k | 12 | | Owner type | Organization | User | | Security scan | No criticals | No lockfile | | Full report | [trust report](/tools/moby-moby/trust.md) | [trust report](/tools/rnchg-apt/trust.md) | ## Choose when ### Choose moby if… - moby is primarily Go; APT is C#. - License: moby is Apache-2.0, APT is MIT. - Tags unique to moby: go, docker, golang, containers. - Also covers Developer Tools. - moby ships Docker support for self-hosted deployment. ### Choose APT if… - APT is primarily C#; moby is Go. - License: APT is MIT, moby is Apache-2.0. - Tags unique to APT: deep-learning, deepseek, ai, chatgpt. - Also covers Speech & Audio. ## 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 APT - Last GitHub push was 210 days ago (slowing maintenance, Dec 13, 2025). Validate activity before betting a new project on APT. - 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 APT? moby: The Moby Project - a collaborative project for the container ecosystem to assemble container-based systems. APT: AI Productivity Tool - Free and open source, improve user productivity, and protect privacy and data security. Including but not limited to: built-in local exclusive ChatGPT, DeepSeek, Phi, Qwen and o. See the comparison table for live GitHub stats and shared categories. ### When should I choose moby over APT? Choose moby over APT when moby is primarily Go; APT is C#; License: moby is Apache-2.0, APT is MIT; Tags unique to moby: go, docker, golang, containers; Also covers Developer Tools; moby ships Docker support for self-hosted deployment. ### When should I choose APT over moby? Choose APT over moby when APT is primarily C#; moby is Go; License: APT is MIT, moby is Apache-2.0; Tags unique to APT: deep-learning, deepseek, ai, chatgpt; Also covers Speech & Audio. ### 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 APT? Last GitHub push was 210 days ago (slowing maintenance, Dec 13, 2025). Validate activity before betting a new project on APT. 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 APT more popular on GitHub? moby has more GitHub stars (71,899 vs 771). Stars measure visibility, not whether either tool fits your constraints. ### Are moby and APT open source? Yes - both are open-source projects on GitHub (moby: Apache-2.0, APT: MIT). ### Where can I find alternatives to moby or APT? GraphCanon lists graph-backed alternatives at [moby alternatives](/tools/moby-moby/alternatives) and [APT alternatives](/tools/rnchg-apt/alternatives) ([moby markdown twin](/tools/moby-moby/alternatives.md), [APT markdown twin](/tools/rnchg-apt/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-rnchg-apt.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, moby or APT? moby: Very active. APT: Slowing. 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 APT? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [moby trust report](/tools/moby-moby/trust); [APT trust report](/tools/rnchg-apt/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/_