run-llama/llama_index
LlamaIndex is a leading data framework that enables building LLM-powered applications by providing tools for data ingestion, structuring, and advanced querying to augment large language models with private and external data.
Awesome AI Agents › Data Integration and Specialized Solutions
DeepAnalyze is an innovative project that introduces the first agentic large language model (LLM) designed specifically for autonomous data science. It aims to automate the entire data science pipeline, enabling users to perform a wide range of data-centric tasks without human intervention. These tasks include data preparation, analysis, modeling, visualization, and report generation. DeepAnalyze supports open-ended data research by working with diverse data sources such as structured data (databases, CSV, Excel), semi-structured data (JSON, XML, YAML), and unstructured data (TXT, Markdown). The system ultimately produces analyst-grade research reports, making it a powerful tool for data scientists and analysts. The project is fully open-source, providing access to the model, code, training data, and demo, allowing users to deploy or extend their own data analysis assistants. DeepAnalyze has gained significant attention in the community, with over 1,000 GitHub stars and extensive social media engagement shortly after its release. It is developed by researchers from Renmin University of China and Tsinghua University. DeepAnalyze offers multiple user interfaces, including a WebUI and a JupyterUI, the latter integrating with Jupyter Lab to facilitate interaction through notebooks. The project supports deployment via vllm and provides detailed instructions for installation, setup, and usage. It encourages community contributions to improve the system and share use cases. Overall, DeepAnalyze represents a significant advancement in autonomous data science by leveraging agentic LLMs to automate complex data workflows, making data science more accessible and efficient.
https://github.com/ruc-datalab/DeepAnalyze
LlamaIndex is a leading data framework that enables building LLM-powered applications by providing tools for data ingestion, structuring, and advanced querying to augment large language models with private and external data.
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