2202alejandro/originlab-originpro-workflow-templates

This repository describes a scientific data analysis platform called OriginNexus, presented as a modular computing environment for researchers and engineers working with experimental data. The central idea is that users should not need to know in advance which statistical model fits their data: the README describes an adaptive fitting engine that automatically compares the data against a library of equations and suggests the most appropriate options. The platform lists several analysis capabilities: peak detection and separation for spectroscopy data, a range of statistical tests from basic comparisons to Bayesian inference, and tools for generating publication-ready charts and graphs. The README also describes natural language querying, where a user could type a question or instruction in plain text and the system would interpret and run the corresponding analysis. The project lists integrations with two external AI services. The OpenAI API connection is described as helping generate written summaries of analysis results, including methodology text formatted for specific journals. The Claude API integration is framed around reading longer documents, such as an entire experimental notebook, to flag inconsistencies or suggest follow-up work. The architecture described is modular: users install only the analysis modules they need, such as spectroscopy, chromatography, or statistics, each packaged as a separate component. The README lists compatibility with Windows, macOS, and several Linux distributions. The README is written in a highly promotional style and includes a section it labels as SEO-optimized use cases. The repository topics include terms related to trial software, and the README itself explicitly states it is not a modified version of any existing commercial product. The full README is longer than what was shown.