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

# data-prep-kit vs moby

*GraphCanon updated Jul 11, 2026*

## Verdict

Pick data-prep-kit when data-prep-kit is primarily HTML; moby is Go; pick moby when moby is primarily Go; data-prep-kit is HTML.

[data-prep-kit](https://data-prep-kit.github.io/data-prep-kit/) reports 947 GitHub stars, 251 forks, and 223 open issues, last pushed Jun 22, 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 [data-prep-kit's repository](https://github.com/data-prep-kit/data-prep-kit) and [moby's repository](https://github.com/moby/moby).

| | [data-prep-kit](/tools/data-prep-kit-data-prep-kit.md) | [moby](/tools/moby-moby.md) |
| --- | --- | --- |
| Tagline | Open source project for data preparation for GenAI applications | The Moby Project - a collaborative project for the container ecosystem to assemble container-based systems |
| Stars | 947 | 71,899 |
| Forks | 251 | 19,126 |
| Open issues | 223 | 3,821 |
| Language | HTML | Go |
| Adopt for | - | - |
| Persona | - | - |
| Runtime | - | - |
| License | Apache-2.0 | Apache-2.0 |
| Categories | Data & Retrieval, LLM Frameworks, Developer Tools | LLM Frameworks, Inference & Serving, Developer Tools |

## Trust and health

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

| | [data-prep-kit](/tools/data-prep-kit-data-prep-kit.md) | [moby](/tools/moby-moby.md) |
| --- | --- | --- |
| Maintenance | Active (82%) | Very active (96%) |
| Days since push | 18d | 1d |
| Open issues (now) | 223 | 3.8k |
| Security scan | No lockfile | No criticals |
| Full report | [trust report](/tools/data-prep-kit-data-prep-kit/trust.md) | [trust report](/tools/moby-moby/trust.md) |

## Choose when

### Choose data-prep-kit if…

- data-prep-kit is primarily HTML; moby is Go.
- Tags unique to data-prep-kit: data-prep, data-preprocessing-pipelines, datarecipes, code-quality.
- Also covers Data & Retrieval.

### Choose moby if…

- moby is primarily Go; data-prep-kit is HTML.
- Tags unique to moby: go, docker, golang, containers.
- Also covers Inference & Serving.
- moby ships Docker support for self-hosted deployment.

## When NOT to use data-prep-kit

- Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough.
- 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.

## 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 data-prep-kit and moby?

data-prep-kit: Open source project for data preparation for GenAI 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 data-prep-kit over moby?

Choose data-prep-kit over moby when data-prep-kit is primarily HTML; moby is Go; Tags unique to data-prep-kit: data-prep, data-preprocessing-pipelines, datarecipes, code-quality; Also covers Data & Retrieval.

### When should I choose moby over data-prep-kit?

Choose moby over data-prep-kit when moby is primarily Go; data-prep-kit is HTML; Tags unique to moby: go, docker, golang, containers; Also covers Inference & Serving; moby ships Docker support for self-hosted deployment.

### When should I avoid data-prep-kit?

Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. 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.

### 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 data-prep-kit or moby more popular on GitHub?

moby has more GitHub stars (71,899 vs 947). Stars measure visibility, not whether either tool fits your constraints.

### Are data-prep-kit and moby open source?

Yes - both are open-source projects on GitHub (data-prep-kit: Apache-2.0, moby: Apache-2.0).

### Where can I find alternatives to data-prep-kit or moby?

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

### Which is better maintained, data-prep-kit or moby?

data-prep-kit: 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 data-prep-kit and moby?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [data-prep-kit trust report](/tools/data-prep-kit-data-prep-kit/trust); [moby trust report](/tools/moby-moby/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=data-prep-kit-data-prep-kit`](/api/graphcanon/graph?tool=data-prep-kit-data-prep-kit)
- 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/_
