--- title: "ArtiVC vs moby" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/infuseai-artivc-vs-moby-moby" tools: ["infuseai-artivc", "moby-moby"] --- # ArtiVC vs moby *GraphCanon updated Jul 11, 2026* ## Verdict Pick ArtiVC when tags unique to ArtiVC: version-control, machinelearning, storage, data; pick moby when tags unique to moby: docker, golang, containers. [ArtiVC](https://artivc.io) reports 313 GitHub stars, 13 forks, and 10 open issues, last pushed Feb 7, 2023. [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 [ArtiVC's repository](https://github.com/InfuseAI/ArtiVC) and [moby's repository](https://github.com/moby/moby). | | [ArtiVC](/tools/infuseai-artivc.md) | [moby](/tools/moby-moby.md) | | --- | --- | --- | | Tagline | A version control system to manage large files. | The Moby Project - a collaborative project for the container ecosystem to assemble container-based systems | | Stars | 313 | 71,899 | | Forks | 13 | 19,126 | | Open issues | 10 | 3,821 | | Language | Go | Go | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Apache-2.0 | | Categories | LLM Frameworks, Developer Tools, Evaluation & Observability | LLM Frameworks, Inference & Serving, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [ArtiVC](/tools/infuseai-artivc.md) | [moby](/tools/moby-moby.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Very active (96%) | | Days since push | 1250d | 1d | | Open issues (now) | 10 | 3.8k | | Security scan | 88 low (88 low) | No criticals | | Full report | [trust report](/tools/infuseai-artivc/trust.md) | [trust report](/tools/moby-moby/trust.md) | ## Choose when ### Choose ArtiVC if… - Tags unique to ArtiVC: version-control, machinelearning, storage, data. - Also covers Evaluation & Observability. - Leaner open-issue backlog (10). ### Choose moby if… - Tags unique to moby: docker, golang, containers. - Also covers Inference & Serving. - moby ships Docker support for self-hosted deployment. ## When NOT to use ArtiVC - Last GitHub push was 1251 days ago (dormant maintenance, Feb 7, 2023). Validate activity before betting a new project on ArtiVC. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. - Developer Tools: A gateway is overkill when you're pinned to a single provider and model. - Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. ## 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. ## Common questions ### What is the difference between ArtiVC and moby? ArtiVC: A version control system to manage large files.. 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 ArtiVC over moby? Choose ArtiVC over moby when Tags unique to ArtiVC: version-control, machinelearning, storage, data; Also covers Evaluation & Observability; Leaner open-issue backlog (10). ### When should I choose moby over ArtiVC? Choose moby over ArtiVC when Tags unique to moby: docker, golang, containers; Also covers Inference & Serving; moby ships Docker support for self-hosted deployment. ### When should I avoid ArtiVC? Last GitHub push was 1251 days ago (dormant maintenance, Feb 7, 2023). Validate activity before betting a new project on ArtiVC. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Developer Tools: A gateway is overkill when you're pinned to a single provider and model. Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. ### 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. ### Is ArtiVC or moby more popular on GitHub? moby has more GitHub stars (71,899 vs 313). Stars measure visibility, not whether either tool fits your constraints. ### Are ArtiVC and moby open source? Yes - both are open-source projects on GitHub (ArtiVC: Apache-2.0, moby: Apache-2.0). ### Where can I find alternatives to ArtiVC or moby? GraphCanon lists graph-backed alternatives at [ArtiVC alternatives](/tools/infuseai-artivc/alternatives) and [moby alternatives](/tools/moby-moby/alternatives) ([ArtiVC markdown twin](/tools/infuseai-artivc/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/infuseai-artivc-vs-moby-moby.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, ArtiVC or moby? ArtiVC: Dormant. 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 ArtiVC and moby? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [ArtiVC trust report](/tools/infuseai-artivc/trust); [moby trust report](/tools/moby-moby/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=infuseai-artivc`](/api/graphcanon/graph?tool=infuseai-artivc) - 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/_