---
title: "moby vs openlm"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/moby-moby-vs-r2d4-openlm"
tools: ["moby-moby", "r2d4-openlm"]
---

# moby vs openlm

*GraphCanon updated Jul 12, 2026*

## Verdict

Pick moby when moby is primarily Go; openlm is Python; pick openlm when openlm 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. [openlm](https://github.com/r2d4/openlm) has 369 stars, 22 forks, and 1 open issues, last pushed May 19, 2023. Figures are from public GitHub metadata via [moby's repository](https://github.com/moby/moby) and [openlm's repository](https://github.com/r2d4/openlm).

| | [moby](/tools/moby-moby.md) | [openlm](/tools/r2d4-openlm.md) |
| --- | --- | --- |
| Tagline | The Moby Project - a collaborative project for the container ecosystem to assemble container-based systems | OpenAI-compatible Python client that can call any LLM |
| Stars | 71,899 | 369 |
| Forks | 19,126 | 22 |
| Open issues | 3,821 | 1 |
| Language | Go | Python |
| Adopt for | - | - |
| Persona | - | - |
| Runtime | - | - |
| License | Apache-2.0 | MIT |
| Categories | LLM Frameworks, Inference & Serving, Developer Tools | LLM Frameworks, Developer Tools |

## Trust and health

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

| | [moby](/tools/moby-moby.md) | [openlm](/tools/r2d4-openlm.md) |
| --- | --- | --- |
| Maintenance | Very active (96%) | Dormant (18%) |
| Days since push | 1d | 1148d |
| Open issues (now) | 3.8k | 1 |
| Owner type | Organization | User |
| Security scan | No criticals | 31 low (31 low) |
| Full report | [trust report](/tools/moby-moby/trust.md) | [trust report](/tools/r2d4-openlm/trust.md) |

## Choose when

### Choose moby if…

- moby is primarily Go; openlm is Python.
- License: moby is Apache-2.0, openlm is MIT.
- Tags unique to moby: go, docker, golang, containers.
- Also covers Inference & Serving.
- moby ships Docker support for self-hosted deployment.

### Choose openlm if…

- openlm is primarily Python; moby is Go.
- License: openlm is MIT, moby is Apache-2.0.
- Tags unique to openlm: llm, python, openai, huggingface.

## 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.

## When NOT to use openlm

- Last GitHub push was 1149 days ago (dormant maintenance, May 19, 2023). Validate activity before betting a new project on openlm.
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- Developer Tools: A gateway is overkill when you're pinned to a single provider and model.

## Common questions

### What is the difference between moby and openlm?

moby: The Moby Project - a collaborative project for the container ecosystem to assemble container-based systems. openlm: OpenAI-compatible Python client that can call any LLM. See the comparison table for live GitHub stats and shared categories.

### When should I choose moby over openlm?

Choose moby over openlm when moby is primarily Go; openlm is Python; License: moby is Apache-2.0, openlm is MIT; Tags unique to moby: go, docker, golang, containers; Also covers Inference & Serving; moby ships Docker support for self-hosted deployment.

### When should I choose openlm over moby?

Choose openlm over moby when openlm is primarily Python; moby is Go; License: openlm is MIT, moby is Apache-2.0; Tags unique to openlm: llm, python, openai, huggingface.

### 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.

### When should I avoid openlm?

Last GitHub push was 1149 days ago (dormant maintenance, May 19, 2023). Validate activity before betting a new project on openlm. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Developer Tools: A gateway is overkill when you're pinned to a single provider and model.

### Is moby or openlm more popular on GitHub?

moby has more GitHub stars (71,899 vs 369). Stars measure visibility, not whether either tool fits your constraints.

### Are moby and openlm open source?

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

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

GraphCanon lists graph-backed alternatives at [moby alternatives](/tools/moby-moby/alternatives) and [openlm alternatives](/tools/r2d4-openlm/alternatives) ([moby markdown twin](/tools/moby-moby/alternatives.md), [openlm markdown twin](/tools/r2d4-openlm/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-r2d4-openlm.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

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

moby: Very active. openlm: Dormant. 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 openlm?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [moby trust report](/tools/moby-moby/trust); [openlm trust report](/tools/r2d4-openlm/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/_
