--- title: "go-stock vs moby" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/arvinlovegood-go-stock-vs-moby-moby" tools: ["arvinlovegood-go-stock", "moby-moby"] --- # go-stock vs moby *GraphCanon updated Jul 15, 2026* ## Verdict Pick go-stock when license: go-stock is GPL-3.0, moby is Apache-2.0; pick moby when license: moby is Apache-2.0, go-stock is GPL-3.0. [go-stock](https://go-stock.sparkmemory.top) reports 6.9k GitHub stars, 1.2k forks, and 16 open issues, last pushed Jul 11, 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 [go-stock's repository](https://github.com/ArvinLovegood/go-stock) and [moby's repository](https://github.com/moby/moby). | | [go-stock](/tools/arvinlovegood-go-stock.md) | [moby](/tools/moby-moby.md) | | --- | --- | --- | | Tagline | 🦄🦄🦄AI赋能股票分析：AI加持的股票分析/选股工具。股票行情获取，AI热点资讯分析，AI资金/财务分析，涨跌报警推送。支持A股，港股，美股。支持市场整体/个股情绪分析，AI辅助选股等。数据全部保留在本地。支持DeepSeek，OpenAI， Ollama，LMStudio，AnythingLLM，硅基流动，火山方舟，阿里云百炼等平台或模型。 | The Moby Project - a collaborative project for the container ecosystem to assemble container-based systems | | Stars | 6,888 | 71,899 | | Forks | 1,220 | 19,126 | | Open issues | 16 | 3,821 | | Language | Go | Go | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | GPL-3.0 | 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._ | | [go-stock](/tools/arvinlovegood-go-stock.md) | [moby](/tools/moby-moby.md) | | --- | --- | --- | | Days since push | 4d | 1d | | Open issues (now) | 16 | 3.8k | | Owner type | User | Organization | | Full report | [trust report](/tools/arvinlovegood-go-stock/trust.md) | [trust report](/tools/moby-moby/trust.md) | ## Choose when ### Choose go-stock if… - License: go-stock is GPL-3.0, moby is Apache-2.0. - Tags unique to go-stock: ai-tools, deepseek, lmstudio, naiveui. - Also covers AI Agents. ### Choose moby if… - License: moby is Apache-2.0, go-stock is GPL-3.0. - Tags unique to moby: containers, docker, go. - Also covers Developer Tools. - moby ships Docker support for self-hosted deployment. ## When NOT to use go-stock - 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 go-stock and moby? go-stock: 🦄🦄🦄AI赋能股票分析：AI加持的股票分析/选股工具。股票行情获取，AI热点资讯分析，AI资金/财务分析，涨跌报警推送。支持A股，港股，美股。支持市场整体/个股情绪分析，AI辅助选股等。数据全部保留在本地。支持DeepSeek，OpenAI， Ollama，LMStudio，AnythingLLM，硅基流动，火山方舟，阿里云百炼等平台或模型。. 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 go-stock over moby? Choose go-stock over moby when License: go-stock is GPL-3.0, moby is Apache-2.0; Tags unique to go-stock: ai-tools, deepseek, lmstudio, naiveui; Also covers AI Agents. ### When should I choose moby over go-stock? Choose moby over go-stock when License: moby is Apache-2.0, go-stock is GPL-3.0; Tags unique to moby: containers, docker, go; Also covers Developer Tools; moby ships Docker support for self-hosted deployment. ### When should I avoid go-stock? 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 go-stock or moby more popular on GitHub? moby has more GitHub stars (71,899 vs 6,888). Stars measure visibility, not whether either tool fits your constraints. ### Are go-stock and moby open source? Yes - both are open-source projects on GitHub (go-stock: GPL-3.0, moby: Apache-2.0). ### Where can I find alternatives to go-stock or moby? GraphCanon lists graph-backed alternatives at [go-stock alternatives](/tools/arvinlovegood-go-stock/alternatives) and [moby alternatives](/tools/moby-moby/alternatives) ([go-stock markdown twin](/tools/arvinlovegood-go-stock/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/arvinlovegood-go-stock-vs-moby-moby.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, go-stock or moby? go-stock: 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 go-stock and moby? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [go-stock trust report](/tools/arvinlovegood-go-stock/trust); [moby trust report](/tools/moby-moby/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=arvinlovegood-go-stock`](/api/graphcanon/graph?tool=arvinlovegood-go-stock) - 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/_