GH Repository · zi-yue-1129
DATAGEN
DATAGEN: AI-driven multi-agent research assistant automating hypothesis generation, data analysis, and report writing.
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agent-frameworkPythonagentartificial-intelligencedata-analyticsdata-analysisllmpythonlangchainlarge-language-modelsmultiagent-systemsailanggraphlarge-language-modelcode-generationdata-scienceai-data-analysis
DATAGEN is a Python multi-agent framework that uses LLMs to act as a research assistant, automating hypothesis generation, data analysis, and report writing. It is built on LangChain and LangGraph and is released under the MIT license.
Reach for it when you want to delegate the research-analysis-report pipeline to cooperating LLM agents instead of running each step manually.
Use it to
- Generate research hypotheses from data
- Automate data analysis workflows
- Produce written reports from analysis results
- Experiment with multi-agent orchestration in LangGraph
- Extend an agent framework for data science tasks
For Data scientists and Python developers exploring LLM agents
- Role
- agent-framework
- Language
- Python
- Licence
- MIT
- Forks
- 250
- Last push
- 2026-09-15
topicsmulti-agentllmdata-analysislanggraphpythonresearch-automation