---
title: "DataDreamer"
type: "tool"
slug: "datadreamer-dev-datadreamer"
canonical_url: "https://www.graphcanon.com/tools/datadreamer-dev-datadreamer"
github_url: "https://github.com/datadreamer-dev/DataDreamer"
homepage_url: "https://datadreamer.dev"
stars: 1114
forks: 59
primary_language: "Python"
license: "MIT"
categories: ["model-training", "llm-frameworks"]
tags: ["llms", "alignment", "deep-learning", "fine-tuning", "llm", "instruction-tuning", "machine-learning", "gpt"]
updated_at: "2026-07-07T18:47:51.823008+00:00"
---

# DataDreamer

> Prompt. Generate Synthetic Data. Train & Align Models.

DataDreamer is an open-source Python library for prompting, synthetic data generation, and training workflows designed to be simple, efficient, and research-grade.

## Facts

- Repository: https://github.com/datadreamer-dev/DataDreamer
- Homepage: https://datadreamer.dev
- Stars: 1,114 · Forks: 59 · Open issues: 5 · Watchers: 9
- Primary language: Python
- License: MIT
- Last pushed: 2025-02-02T21:23:50+00:00

## Categories

- [Model Training](/categories/model-training.md)
- [LLM Frameworks](/categories/llm-frameworks.md)

## Tags

llms, alignment, deep-learning, fine-tuning, llm, instruction-tuning, machine-learning, gpt

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## README (excerpt)

```text
<p align="center">
  <a href="https://datadreamer.dev"><img src="https://datadreamer.dev/docs/latest/_static/logo.svg" alt="DataDreamer" style="max-width: 100%;"></a><br />
  <a href="https://datadreamer.dev"><b>https://datadreamer.dev</b></a>
</p>
<p align="center">
   <b>Prompt. Generate Synthetic Data. Train & Align Models.</b><br /><br />
  <a href="https://github.com/datadreamer-dev/DataDreamer/actions/workflows/release.yml"><img src="https://img.shields.io/github/actions/workflow/status/datadreamer-dev/DataDreamer/release.yml?logo=githubactions&logoColor=white&label=Tests%20%26%20Release" alt="Tests & Release" style="max-width: 100%;"></a>
  <a href="https://codecov.io/gh/datadreamer-dev/DataDreamer"><img src="https://codecov.io/gh/datadreamer-dev/DataDreamer/graph/badge.svg?token=KZB00BKWJE"/></a>
  <a href="https://github.com/datadreamer-dev/DataDreamer/actions/workflows/tests.yml"><img src="https://img.shields.io/endpoint?url=https://raw.githubusercontent.com/astral-sh/ruff/57b6a8cedd26481516a1a6af510d6b24272d0a76/assets/badge/v2.json" alt="Ruff" style="max-width: 100%;"></a>
  <a href="https://pypi.org/project/datadreamer.dev/"><img src="https://badge.fury.io/py/datadreamer.dev.svg"/></a>
  <a href="https://datadreamer.dev/docs/"><img src="https://img.shields.io/website.svg?down_color=red&down_message=offline&label=Documentation&up_message=online&url=https://datadreamer.dev/docs/"/></a>
  <a href="https://datadreamer.dev/docs/latest/pages/contributing.html"><img src="https://img.shields.io/badge/Contributor-Guide-blue?logo=Github&color=purple"/></a>
  <br />
  <a href="https://github.com/datadreamer-dev/DataDreamer/blob/main/LICENSE.txt"><img src="https://img.shields.io/badge/License-MIT-blue.svg"/></a>
  <a href="https://ajayp.app/"><img src="https://img.shields.io/badge/NLP-NLP?labelColor=011F5b&color=990000&label=University%20of%20Pennsylvania"/></a>
  <a href="https://arxiv.org/abs/2402.10379"><img src="https://img.shields.io/badge/arXiv-2402.10379-b31b1b.svg"/></a>
  <a href="https://discord.gg/dwWW8wuCtK"><img src="https://img.shields.io/badge/Discord-Chat-blue?logo=discord&color=4338ca&labelColor=black"/></a>
</p>

DataDreamer is a powerful open-source Python library for prompting, synthetic data generation, and training workflows. It is designed to be simple, extremely efficient, and research-grade.

<div align="center">
  <table class="docutils align-default">
    <tbody>
        <tr>
          <td colspan="2">
            <p align="center"><b>Installation</b></p> <pre lang="bash">pip3 install datadreamer.dev</pre>
          </td>
        </tr>
    </tbody>
    <tbody>
        <tr>
          <th class="head"><code>demo.py</code></th>
          <th class="head">Result of <code>demo.py</code></th>
        </tr>
    </tbody>
    <tbody>
        <tr>
          <td>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<br />
              <a href="https://datadreamer.dev/docs/latest/" title="demo.py"><img src="https://datadreamer.dev/docs/latest/_static/images/demo_code.png" alt="demo.py" /></a>
              <br /><br />
              <p align="center">
                See the <a class="reference external" href="https://datadreamer.dev/docs/latest/" title="demo.py">full demo script</a>
              </p>
              <br />
          </td>
          <td>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&n
```

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/tools/datadreamer-dev-datadreamer`](/api/graphcanon/tools/datadreamer-dev-datadreamer)
- 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/_