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metadata 
datasets:
  - RUC-DataLab/DataScience-Instruct-500K
license: mit
pipeline_tag: text-generation
library_name: transformers

DeepAnalyze

DeepAnalyze: Agentic Large Language Models for Autonomous Data Science

arXiv Paper code homepage model data Badge

Authors: Shaolei Zhang, Ju Fan*, Meihao Fan, Guoliang Li, Xiaoyong Du

DeepAnalyze is the first agentic LLM for autonomous data science. It can autonomously complete a wide range of data-centric tasks without human intervention, supporting:

  • 🛠 Entire data science pipeline: Automatically perform any data science tasks such as data preparation, analysis, modeling, visualization, and report generation.
  • 🔍 Open-ended data research: Conduct deep research on diverse data sources, including structured data (Databases, CSV, Excel), semi-structured data (JSON, XML, YAML), and unstructured data (TXT, Markdown), and finally produce analyst-grade research reports.
  • 📊 Fully open-source: The model, code, training data, and demo of DeepAnalyze are all open-sourced, allowing you to deploy or extend your own data analysis assistant.

deepanalyze

More information refer to DeepAnalyze's Repo