ParaNMR-Synth is an MIT-licensed Python package for generating reproducible synthetic paramagnetic NMR datasets. It supports researchers and developers building, testing, and validating ParaNMR workflows without relying solely on experimental data.
ParaNMR-Synth is an Other data science & ML project. It focuses on generating reproducible synthetic pNMR datasets for testing and developing ParaNMR workflows. It is built as an open-source project for NMR researchers and machine learning developers. The project is open source (MIT). ParaNMR-Synth is available on the command line, and it can be self-hosted.
Behind ParaNMR-Synth is Mephistos-ML, and it first shipped in 2026. Development happens publicly on GitHub with 36 commits in the last 90 days. Key capabilities include synthetic dataset generation, reproducible outputs, and pNMR workflows.
Summary written by a language model from the project’s public pages.
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