JeffersonStats
Offers over 40 statistical analysis tools for AI assistants, encompassing descriptive statistics, hypothesis testing, and regression analysis through an MCP server.
Acerca de
JeffersonStats is a powerful, high-performance statistical analysis server built on the FastMCP framework. It provides a comprehensive suite of over 40 statistical tools accessible via a clean, intuitive HTTP API, specifically designed to empower AI assistants and large language models. Leveraging optimized NumPy and SciPy libraries, it delivers accurate and fast computations for basic descriptive statistics, advanced statistical tests, hypothesis testing, and various data analysis tasks, ensuring easy integration and scalability for large datasets.
Características Principales
- Scalable for large datasets
- High-performance computations via NumPy and SciPy
- Easy integration with any programming language via HTTP API
- Comprehensive suite of 40+ statistical analysis tools
- 0 GitHub stars
- Containerized deployment with Docker
Casos de Uso
- Providing advanced statistical analysis capabilities to AI assistants and LLMs
- Building custom data analysis pipelines with high-performance statistical computations
- Performing descriptive statistics, hypothesis testing, and regression analysis on datasets
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