{"data":{"slug":"datadreamer-dev-datadreamer","name":"DataDreamer","tagline":"Prompt. Generate Synthetic Data. Train & Align Models.","github_url":"https://github.com/datadreamer-dev/DataDreamer","owner":"datadreamer-dev","repo":"DataDreamer","owner_avatar_url":"https://avatars.githubusercontent.com/u/154913957?v=4","primary_language":"Python","stars":1117,"forks":58,"topics":["alignment","deep-learning","fine-tuning","gpt","instruction-tuning","llm","llmops","llms","machine-learning","natural-language-processing","nlp","nlp-library","openai","python","pytorch","synthetic-data","synthetic-dataset-generation","transformers"],"archived":false,"github_pushed_at":"2025-02-02T21:23:50+00:00","maintenance_label":"Dormant","stars_delta_30d":2,"url":"https://www.graphcanon.com/tools/datadreamer-dev-datadreamer","markdown_url":"https://www.graphcanon.com/tools/datadreamer-dev-datadreamer.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/datadreamer-dev-datadreamer","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=datadreamer-dev-datadreamer","description":"DataDreamer: Prompt. Generate Synthetic Data. Train & Align Models.   🤖💤","homepage_url":"https://datadreamer.dev","license":"MIT","open_issues":5,"watchers":9,"ai_summary":"DataDreamer is an open-source Python library designed for prompting, synthetic data generation, and training workflows with a focus on simplicity, efficiency, and research grade","readme_excerpt":"

\n \"DataDreamer\"
\n https://datadreamer.dev\n

\n

\n Prompt. Generate Synthetic Data. Train & Align Models.

\n \"Tests\n \n \"Ruff\"\n \n \n \n
\n \n \n \n \n

\n\nDataDreamer 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.\n\n
\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n

Installation

pip3 install datadreamer.dev
\n
demo.pyResult of demo.py
\n                                                                                                   
\n \"demo.py\"\n

\n

\n See the full demo script\n

\n
\n 		\n                     &n","github_created_at":"2023-06-02T20:17:04+00:00","created_at":"2026-07-07T17:43:01.639572+00:00","updated_at":"2026-08-21T00:00:52.138834+00:00","categories":[{"slug":"data-retrieval","name":"Data & Retrieval","url":"https://www.graphcanon.com/categories/data-retrieval","markdown_url":"https://www.graphcanon.com/categories/data-retrieval.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/data-retrieval"},{"slug":"model-training","name":"Model Training","url":"https://www.graphcanon.com/categories/model-training","markdown_url":"https://www.graphcanon.com/categories/model-training.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/model-training"}],"tags":[{"slug":"alignment","name":"alignment"},{"slug":"deep-learning","name":"deep-learning"},{"slug":"fine-tuning","name":"fine-tuning"},{"slug":"gpt","name":"gpt"},{"slug":"instruction-tuning","name":"instruction-tuning"},{"slug":"llm","name":"llm"},{"slug":"llmops","name":"llmops"},{"slug":"machine-learning","name":"machine-learning"}],"trust":{"provenance":{"is_fork":false,"github_id":648788010,"owner_type":"Organization","methodology":"github_public_v1","parent_repo":null,"near_duplicate_slugs":[]},"computed_at":"2026-08-21T00:00:51.137Z","maintenance":{"label":"Dormant","score":18,"methodology":"github_public_v1","releases_90d":0,"days_since_push":564,"last_release_at":"2025-02-02T21:23:50Z","stars_delta_30d":2,"open_issues_delta_30d":0},"security_summary":{"status":"no_lockfile","scanner":null,"low_count":0,"high_count":0,"last_scan_at":"2026-07-11T11:22:37.353Z","medium_count":0,"scan_profile":"none","critical_count":0}},"capability_facts":{"scan":{"source":"repo_scan","observed_at":"2026-08-21T00:00:51.773Z"},"languages":{"value":["python"],"source":"github.language+pyproject.toml","observed_at":"2026-08-21T00:00:51.773Z"},"license_spdx":{"value":"MIT","source":"github.license","observed_at":"2026-08-21T00:00:51.773Z"}},"decision_facts":{"hosting":null,"pricing":null,"requirements":null,"constraints":null,"when_to_use":["When you need to generate high-quality synthetic datasets efficiently for model training.","For researchers or developers who prioritize ease of use and want to streamline their data creation and alignment processes."],"when_not_to_use":["If your project strictly requires proprietary tools and libraries, as DataDreamer is an open-source solution without support contracts.","When you require tools that focus primarily on other aspects of machine learning workflows outside synthetic data generation and training efficiency."],"source":"enrich:decision_facts","observed_at":"2026-07-11T18:05:33.011Z"},"constraint_facets":null,"decision_summary":[{"label":"Adopt for","value":"DataDreamer is a Python library specialized in prompting, synthetic data generation, and training workflows designed with simplicity and efficiency in mind."}]}}