--- title: "moby vs shell_gpt" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/moby-moby-vs-ther1d-shell-gpt" tools: ["moby-moby", "ther1d-shell-gpt"] --- # moby vs shell_gpt *GraphCanon updated Jul 15, 2026* ## Verdict Pick moby when moby is primarily Go; shell_gpt is Python; pick shell_gpt when shell_gpt is primarily Python; moby is Go. [moby](https://mobyproject.org/) reports 72k GitHub stars, 19k forks, and 3.8k open issues, last pushed Jul 10, 2026. [shell_gpt](https://github.com/TheR1D/shell_gpt) has 12k stars, 978 forks, and 115 open issues, last pushed Jul 2, 2026. Figures are from public GitHub metadata via [moby's repository](https://github.com/moby/moby) and [shell_gpt's repository](https://github.com/TheR1D/shell_gpt). | | [moby](/tools/moby-moby.md) | [shell_gpt](/tools/ther1d-shell-gpt.md) | | --- | --- | --- | | Tagline | The Moby Project - a collaborative project for the container ecosystem to assemble container-based systems | A command-line productivity tool powered by AI large language models like GPT-5, will help you accomplish your tasks faster and more efficiently. | | Stars | 71,899 | 12,185 | | Forks | 19,126 | 978 | | Open issues | 3,821 | 115 | | Language | Go | Python | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | MIT | | Categories | Developer Tools, Inference & Serving, LLM Frameworks | Computer Vision, Inference & Serving, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [moby](/tools/moby-moby.md) | [shell_gpt](/tools/ther1d-shell-gpt.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Active (82%) | | Days since push | 1d | 13d | | Open issues (now) | 3.8k | 115 | | Owner type | Organization | User | | Full report | [trust report](/tools/moby-moby/trust.md) | [trust report](/tools/ther1d-shell-gpt/trust.md) | ## Choose when ### Choose moby if… - moby is primarily Go; shell_gpt is Python. - License: moby is Apache-2.0, shell_gpt is MIT. - Tags unique to moby: containers, docker, go, golang. - Also covers Developer Tools. ### Choose shell_gpt if… - shell_gpt is primarily Python; moby is Go. - License: shell_gpt is MIT, moby is Apache-2.0. - Tags unique to shell_gpt: chatgpt, cheat-sheet, cli, commands. - Also covers Computer Vision. ## 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. ## When NOT to use shell_gpt - 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 moby and shell_gpt? moby: The Moby Project - a collaborative project for the container ecosystem to assemble container-based systems. shell_gpt: A command-line productivity tool powered by AI large language models like GPT-5, will help you accomplish your tasks faster and more efficiently.. See the comparison table for live GitHub stats and shared categories. ### When should I choose moby over shell_gpt? Choose moby over shell_gpt when moby is primarily Go; shell_gpt is Python; License: moby is Apache-2.0, shell_gpt is MIT; Tags unique to moby: containers, docker, go, golang; Also covers Developer Tools. ### When should I choose shell_gpt over moby? Choose shell_gpt over moby when shell_gpt is primarily Python; moby is Go; License: shell_gpt is MIT, moby is Apache-2.0; Tags unique to shell_gpt: chatgpt, cheat-sheet, cli, commands; Also covers Computer Vision. ### 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. ### When should I avoid shell_gpt? 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 moby or shell_gpt more popular on GitHub? moby has more GitHub stars (71,899 vs 12,185). Stars measure visibility, not whether either tool fits your constraints. ### Are moby and shell_gpt open source? Yes - both are open-source projects on GitHub (moby: Apache-2.0, shell_gpt: MIT). ### Where can I find alternatives to moby or shell_gpt? GraphCanon lists graph-backed alternatives at [moby alternatives](/tools/moby-moby/alternatives) and [shell_gpt alternatives](/tools/ther1d-shell-gpt/alternatives) ([moby markdown twin](/tools/moby-moby/alternatives.md), [shell_gpt markdown twin](/tools/ther1d-shell-gpt/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-ther1d-shell-gpt.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, moby or shell_gpt? moby: Very active. shell_gpt: 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 moby and shell_gpt? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [moby trust report](/tools/moby-moby/trust); [shell_gpt trust report](/tools/ther1d-shell-gpt/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/_