--- title: "GAGE vs moby" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/hithink-research-gage-vs-moby-moby" tools: ["hithink-research-gage", "moby-moby"] --- # GAGE vs moby *GraphCanon updated Jul 15, 2026* ## Verdict Pick GAGE when gAGE is primarily Python; moby is Go; pick moby when moby is primarily Go; GAGE is Python. [GAGE](https://github.com/HiThink-Research/GAGE) reports 51 GitHub stars, 8 forks, and 3 open issues, last pushed Jun 2, 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 [GAGE's repository](https://github.com/HiThink-Research/GAGE) and [moby's repository](https://github.com/moby/moby). | | [GAGE](/tools/hithink-research-gage.md) | [moby](/tools/moby-moby.md) | | --- | --- | --- | | Tagline | General AI evaluation and Gauge Engine. A unified evaluation engine for LLMs, MLLMs, audio, and diffusion models. | The Moby Project - a collaborative project for the container ecosystem to assemble container-based systems | | Stars | 51 | 71,899 | | Forks | 8 | 19,126 | | Open issues | 3 | 3,821 | | Language | Python | Go | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | - | Apache-2.0 | | Categories | AI Agents, Inference & Serving, LLM Frameworks | Developer Tools, Inference & Serving, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [GAGE](/tools/hithink-research-gage.md) | [moby](/tools/moby-moby.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Very active (96%) | | Days since push | 43d | 1d | | Open issues (now) | 3 | 3.8k | | Full report | [trust report](/tools/hithink-research-gage/trust.md) | [trust report](/tools/moby-moby/trust.md) | ## Choose when ### Choose GAGE if… - GAGE is primarily Python; moby is Go. - Tags unique to GAGE: agent, game-arena, llm, llm-evaluation. - Also covers AI Agents. ### Choose moby if… - moby is primarily Go; GAGE is Python. - Tags unique to moby: containers, docker, go, golang. - Also covers Developer Tools. - moby ships Docker support for self-hosted deployment. ## When NOT to use GAGE - AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. - 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 GAGE and moby? GAGE: General AI evaluation and Gauge Engine. A unified evaluation engine for LLMs, MLLMs, audio, and diffusion models.. 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 GAGE over moby? Choose GAGE over moby when GAGE is primarily Python; moby is Go; Tags unique to GAGE: agent, game-arena, llm, llm-evaluation; Also covers AI Agents. ### When should I choose moby over GAGE? Choose moby over GAGE when moby is primarily Go; GAGE is Python; Tags unique to moby: containers, docker, go, golang; Also covers Developer Tools; moby ships Docker support for self-hosted deployment. ### When should I avoid GAGE? AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. 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 GAGE or moby more popular on GitHub? moby has more GitHub stars (71,899 vs 51). Stars measure visibility, not whether either tool fits your constraints. ### Are GAGE and moby open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to GAGE or moby? GraphCanon lists graph-backed alternatives at [GAGE alternatives](/tools/hithink-research-gage/alternatives) and [moby alternatives](/tools/moby-moby/alternatives) ([GAGE markdown twin](/tools/hithink-research-gage/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/hithink-research-gage-vs-moby-moby.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, GAGE or moby? GAGE: Steady. 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 GAGE and moby? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [GAGE trust report](/tools/hithink-research-gage/trust); [moby trust report](/tools/moby-moby/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=hithink-research-gage`](/api/graphcanon/graph?tool=hithink-research-gage) - 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/_