---
title: "LeanCopilot vs moby"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/lean-dojo-leancopilot-vs-moby-moby"
tools: ["lean-dojo-leancopilot", "moby-moby"]
---

# LeanCopilot vs moby

*GraphCanon updated Jul 11, 2026*

## Verdict

Pick LeanCopilot when leanCopilot is primarily C++; moby is Go; pick moby when moby is primarily Go; LeanCopilot is C++.

[LeanCopilot](https://leandojo.org/leancopilot.html) reports 1.3k GitHub stars, 126 forks, and 4 open issues, last pushed Jun 20, 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 [LeanCopilot's repository](https://github.com/lean-dojo/LeanCopilot) and [moby's repository](https://github.com/moby/moby).

| | [LeanCopilot](/tools/lean-dojo-leancopilot.md) | [moby](/tools/moby-moby.md) |
| --- | --- | --- |
| Tagline | LLMs as Copilots for Theorem Proving in Lean | The Moby Project - a collaborative project for the container ecosystem to assemble container-based systems |
| Stars | 1,299 | 71,899 |
| Forks | 126 | 19,126 |
| Open issues | 4 | 3,821 |
| Language | C++ | Go |
| Adopt for | - | - |
| Persona | - | - |
| Runtime | - | - |
| License | MIT | Apache-2.0 |
| Categories | LLM Frameworks, Inference & Serving | LLM Frameworks, Inference & Serving, Developer Tools |

## Trust and health

_Sourced signals - not a safety guarantee. No winner column._

| | [LeanCopilot](/tools/lean-dojo-leancopilot.md) | [moby](/tools/moby-moby.md) |
| --- | --- | --- |
| Maintenance | Active (82%) | Very active (96%) |
| Days since push | 20d | 1d |
| Open issues (now) | 4 | 3.8k |
| Security scan | No lockfile | No criticals |
| Full report | [trust report](/tools/lean-dojo-leancopilot/trust.md) | [trust report](/tools/moby-moby/trust.md) |

## Choose when

### Choose LeanCopilot if…

- LeanCopilot is primarily C++; moby is Go.
- License: LeanCopilot is MIT, moby is Apache-2.0.
- Tags unique to LeanCopilot: lean, formal-mathematics, llm, machine-learning.

### Choose moby if…

- moby is primarily Go; LeanCopilot is C++.
- License: moby is Apache-2.0, LeanCopilot is MIT.
- Tags unique to moby: go, docker, golang, containers.
- Also covers Developer Tools.
- moby ships Docker support for self-hosted deployment.

## When NOT to use LeanCopilot

- 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.

## 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 LeanCopilot and moby?

LeanCopilot: LLMs as Copilots for Theorem Proving in Lean. 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 LeanCopilot over moby?

Choose LeanCopilot over moby when LeanCopilot is primarily C++; moby is Go; License: LeanCopilot is MIT, moby is Apache-2.0; Tags unique to LeanCopilot: lean, formal-mathematics, llm, machine-learning.

### When should I choose moby over LeanCopilot?

Choose moby over LeanCopilot when moby is primarily Go; LeanCopilot is C++; License: moby is Apache-2.0, LeanCopilot is MIT; Tags unique to moby: go, docker, golang, containers; Also covers Developer Tools; moby ships Docker support for self-hosted deployment.

### When should I avoid LeanCopilot?

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.

### 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 LeanCopilot or moby more popular on GitHub?

moby has more GitHub stars (71,899 vs 1,299). Stars measure visibility, not whether either tool fits your constraints.

### Are LeanCopilot and moby open source?

Yes - both are open-source projects on GitHub (LeanCopilot: MIT, moby: Apache-2.0).

### Where can I find alternatives to LeanCopilot or moby?

GraphCanon lists graph-backed alternatives at [LeanCopilot alternatives](/tools/lean-dojo-leancopilot/alternatives) and [moby alternatives](/tools/moby-moby/alternatives) ([LeanCopilot markdown twin](/tools/lean-dojo-leancopilot/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/lean-dojo-leancopilot-vs-moby-moby.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, LeanCopilot or moby?

LeanCopilot: 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 LeanCopilot and moby?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [LeanCopilot trust report](/tools/lean-dojo-leancopilot/trust); [moby trust report](/tools/moby-moby/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=lean-dojo-leancopilot`](/api/graphcanon/graph?tool=lean-dojo-leancopilot)
- 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/_
