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

# data-prep-kit vs prompts.chat

*GraphCanon updated Jul 11, 2026*

## Verdict

Pick data-prep-kit when license: data-prep-kit is Apache-2.0, prompts.chat is Other; pick prompts.chat when license: prompts.chat is Other, data-prep-kit is Apache-2.0.

[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. [prompts.chat](https://prompts.chat) has 165k stars, 21k forks, and 60 open issues, last pushed Jul 11, 2026. Figures are from public GitHub metadata via [data-prep-kit's repository](https://github.com/data-prep-kit/data-prep-kit) and [prompts.chat's repository](https://github.com/f/prompts.chat).

| | [data-prep-kit](/tools/data-prep-kit-data-prep-kit.md) | [prompts.chat](/tools/f-prompts-chat.md) |
| --- | --- | --- |
| Tagline | Open source project for data preparation for GenAI applications | Share, discover, and collect prompts from the community |
| Stars | 947 | 165,372 |
| Forks | 251 | 21,400 |
| Open issues | 223 | 60 |
| Language | HTML | HTML |
| Adopt for | - | Critical decision points for evaluating `prompts.chat` |
| Persona | - | - |
| Runtime | - | - |
| License | Apache-2.0 | Other |
| Categories | Data & Retrieval, LLM Frameworks, Developer Tools | LLM Frameworks, 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) | [prompts.chat](/tools/f-prompts-chat.md) |
| --- | --- | --- |
| Maintenance | Active (82%) | Very active (96%) |
| Days since push | 18d | 0d |
| Open issues (now) | 223 | 60 |
| Owner type | Organization | User |
| Full report | [trust report](/tools/data-prep-kit-data-prep-kit/trust.md) | [trust report](/tools/f-prompts-chat/trust.md) |

## Decision facts: prompts.chat

- **Adopt for:** Critical decision points for evaluating `prompts.chat`

## Choose when

### Choose data-prep-kit if…

- License: data-prep-kit is Apache-2.0, prompts.chat is Other.
- Tags unique to data-prep-kit: data-prep, data-preprocessing-pipelines, datarecipes, code-quality.
- Also covers Data & Retrieval.

### Choose prompts.chat if…

- License: prompts.chat is Other, data-prep-kit is Apache-2.0.
- Tags unique to prompts.chat: llm, ai, artificial-intelligence, gemini.
- Critical decision points for evaluating `prompts.chat`

## 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 prompts.chat

- 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 data-prep-kit and prompts.chat?

data-prep-kit: Open source project for data preparation for GenAI applications. prompts.chat: Share, discover, and collect prompts from the community. See the comparison table for live GitHub stats and shared categories.

### When should I choose data-prep-kit over prompts.chat?

Choose data-prep-kit over prompts.chat when License: data-prep-kit is Apache-2.0, prompts.chat is Other; Tags unique to data-prep-kit: data-prep, data-preprocessing-pipelines, datarecipes, code-quality; Also covers Data & Retrieval.

### When should I choose prompts.chat over data-prep-kit?

Choose prompts.chat over data-prep-kit when License: prompts.chat is Other, data-prep-kit is Apache-2.0; Tags unique to prompts.chat: llm, ai, artificial-intelligence, gemini; Critical decision points for evaluating `prompts.chat`.

### 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 prompts.chat?

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 data-prep-kit or prompts.chat more popular on GitHub?

prompts.chat has more GitHub stars (165,372 vs 947). Stars measure visibility, not whether either tool fits your constraints.

### Are data-prep-kit and prompts.chat open source?

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

### Where can I find alternatives to data-prep-kit or prompts.chat?

GraphCanon lists graph-backed alternatives at [data-prep-kit alternatives](/tools/data-prep-kit-data-prep-kit/alternatives) and [prompts.chat alternatives](/tools/f-prompts-chat/alternatives) ([data-prep-kit markdown twin](/tools/data-prep-kit-data-prep-kit/alternatives.md), [prompts.chat markdown twin](/tools/f-prompts-chat/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-f-prompts-chat.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 prompts.chat?

data-prep-kit: Active. prompts.chat: 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 prompts.chat?

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); [prompts.chat trust report](/tools/f-prompts-chat/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/_
