---
title: "moby vs onWatch"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/moby-moby-vs-onllm-dev-onwatch"
tools: ["moby-moby", "onllm-dev-onwatch"]
---

# moby vs onWatch

*GraphCanon updated Jul 11, 2026*

## Verdict

Pick moby when license: moby is Apache-2.0, onWatch is GPL-3.0; pick onWatch when license: onWatch is GPL-3.0, moby is Apache-2.0.

[moby](https://mobyproject.org/) reports 72k GitHub stars, 19k forks, and 3.8k open issues, last pushed Jul 10, 2026. [onWatch](https://onwatch.onllm.dev) has 673 stars, 51 forks, and 11 open issues, last pushed Jun 19, 2026. Figures are from public GitHub metadata via [moby's repository](https://github.com/moby/moby) and [onWatch's repository](https://github.com/onllm-dev/onWatch).

| | [moby](/tools/moby-moby.md) | [onWatch](/tools/onllm-dev-onwatch.md) |
| --- | --- | --- |
| Tagline | The Moby Project - a collaborative project for the container ecosystem to assemble container-based systems | Track AI API quotas across Synthetic, Z.ai, Anthropic (Claude Code), Codex, GitHub Copilot & Antigravity in real time. Lightweight background daemon (<50MB RAM), SQLite storage, Material Design 3 dash |
| Stars | 71,899 | 673 |
| Forks | 19,126 | 51 |
| Open issues | 3,821 | 11 |
| Language | Go | Go |
| Adopt for | - | - |
| Persona | - | - |
| Runtime | - | - |
| License | Apache-2.0 | GPL-3.0 |
| 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) | [onWatch](/tools/onllm-dev-onwatch.md) |
| --- | --- | --- |
| Maintenance | Very active (96%) | Active (82%) |
| Days since push | 1d | 22d |
| Open issues (now) | 3.8k | 11 |
| Security scan | No criticals | 27 low (27 low) |
| Full report | [trust report](/tools/moby-moby/trust.md) | [trust report](/tools/onllm-dev-onwatch/trust.md) |

## Choose when

### Choose moby if…

- License: moby is Apache-2.0, onWatch is GPL-3.0.
- Tags unique to moby: containers, docker, go.
- Also covers Developer Tools.

### Choose onWatch if…

- License: onWatch is GPL-3.0, moby is Apache-2.0.
- Tags unique to onWatch: ai-api-monitoring, antigravity, api-monitoring, claude-code.
- 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 onWatch

- 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 onWatch?

moby: The Moby Project - a collaborative project for the container ecosystem to assemble container-based systems. onWatch: Track AI API quotas across Synthetic, Z.ai, Anthropic (Claude Code), Codex, GitHub Copilot & Antigravity in real time. Lightweight background daemon (<50MB RAM), SQLite storage, Material Design 3 dash. See the comparison table for live GitHub stats and shared categories.

### When should I choose moby over onWatch?

Choose moby over onWatch when License: moby is Apache-2.0, onWatch is GPL-3.0; Tags unique to moby: containers, docker, go; Also covers Developer Tools.

### When should I choose onWatch over moby?

Choose onWatch over moby when License: onWatch is GPL-3.0, moby is Apache-2.0; Tags unique to onWatch: ai-api-monitoring, antigravity, api-monitoring, claude-code; 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 onWatch?

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 onWatch more popular on GitHub?

moby has more GitHub stars (71,899 vs 673). Stars measure visibility, not whether either tool fits your constraints.

### Are moby and onWatch open source?

Yes - both are open-source projects on GitHub (moby: Apache-2.0, onWatch: GPL-3.0).

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

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

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

moby: Very active. onWatch: 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 onWatch?

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