--- title: "llm-axe vs moby" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/emirsahin1-llm-axe-vs-moby-moby" tools: ["emirsahin1-llm-axe", "moby-moby"] --- # llm-axe vs moby *GraphCanon updated Jul 15, 2026* ## Verdict Pick llm-axe when llm-axe is primarily Python; moby is Go; pick moby when moby is primarily Go; llm-axe is Python. [llm-axe](https://github.com/emirsahin1/llm-axe) reports 275 GitHub stars, 38 forks, and 0 open issues, last pushed Jan 5, 2025. [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 [llm-axe's repository](https://github.com/emirsahin1/llm-axe) and [moby's repository](https://github.com/moby/moby). | | [llm-axe](/tools/emirsahin1-llm-axe.md) | [moby](/tools/moby-moby.md) | | --- | --- | --- | | Tagline | A simple, intuitive toolkit for quickly implementing LLM powered applications. | The Moby Project - a collaborative project for the container ecosystem to assemble container-based systems | | Stars | 275 | 71,899 | | Forks | 38 | 19,126 | | Open issues | 0 | 3,821 | | Language | Python | Go | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | MIT | Apache-2.0 | | Categories | Developer Tools, Inference & Serving, LLM Frameworks | Developer Tools, Inference & Serving, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [llm-axe](/tools/emirsahin1-llm-axe.md) | [moby](/tools/moby-moby.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Very active (96%) | | Days since push | 555d | 1d | | Open issues (now) | 0 | 3.8k | | Owner type | User | Organization | | Full report | [trust report](/tools/emirsahin1-llm-axe/trust.md) | [trust report](/tools/moby-moby/trust.md) | ## Choose when ### Choose llm-axe if… - llm-axe is primarily Python; moby is Go. - License: llm-axe is MIT, moby is Apache-2.0. - Tags unique to llm-axe: function-calling, llama3, llm, local-llm. ### Choose moby if… - moby is primarily Go; llm-axe is Python. - License: moby is Apache-2.0, llm-axe is MIT. - Tags unique to moby: containers, docker, go, golang. - moby ships Docker support for self-hosted deployment. ## When NOT to use llm-axe - Last GitHub push was 555 days ago (dormant maintenance, Jan 5, 2025). Validate activity before betting a new project on llm-axe. - 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. ## 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 llm-axe and moby? llm-axe: A simple, intuitive toolkit for quickly implementing LLM powered applications.. 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 llm-axe over moby? Choose llm-axe over moby when llm-axe is primarily Python; moby is Go; License: llm-axe is MIT, moby is Apache-2.0; Tags unique to llm-axe: function-calling, llama3, llm, local-llm. ### When should I choose moby over llm-axe? Choose moby over llm-axe when moby is primarily Go; llm-axe is Python; License: moby is Apache-2.0, llm-axe is MIT; Tags unique to moby: containers, docker, go, golang; moby ships Docker support for self-hosted deployment. ### When should I avoid llm-axe? Last GitHub push was 555 days ago (dormant maintenance, Jan 5, 2025). Validate activity before betting a new project on llm-axe. 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. ### 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 llm-axe or moby more popular on GitHub? moby has more GitHub stars (71,899 vs 275). Stars measure visibility, not whether either tool fits your constraints. ### Are llm-axe and moby open source? Yes - both are open-source projects on GitHub (llm-axe: MIT, moby: Apache-2.0). ### Where can I find alternatives to llm-axe or moby? GraphCanon lists graph-backed alternatives at [llm-axe alternatives](/tools/emirsahin1-llm-axe/alternatives) and [moby alternatives](/tools/moby-moby/alternatives) ([llm-axe markdown twin](/tools/emirsahin1-llm-axe/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/emirsahin1-llm-axe-vs-moby-moby.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, llm-axe or moby? llm-axe: 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 llm-axe and moby? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [llm-axe trust report](/tools/emirsahin1-llm-axe/trust); [moby trust report](/tools/moby-moby/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=emirsahin1-llm-axe`](/api/graphcanon/graph?tool=emirsahin1-llm-axe) - 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/_