SpectraSherpa

SpectraSherpa is a spectroscopy and chemometrics workbench for building reproducible data-analysis workflows. The current release is centered on infrared and Raman-style spectral data: import files, inspect the data matrix, preprocess spectra, run PCA or calibration workflows, save models, and export results.

SpectraSherpa has two entry points:

• SpectraSherpa Cloud is the hosted enterprise/demo experience at demo.spectrascientific.ai. It adds managed accounts, demo limits, Sherpa Advisor, ambient guidance, and collaboration features.
• Local OSS is the open-source AGPL-3.0-or-later package. It runs on your own machine with no login. Optional extras add SpectroChemPy-backed readers/nodes and HITRAN/HAPI synthesis support.

Start here:

• New cloud user: 10 Minutes on SpectraSherpa Cloud
• Local user: 5 Minutes to Local Compute
• Have data already: Import Your First IR/Raman Dataset
• Need boundaries first: Current Capabilities

What Is Grounded Today

The documented path intentionally focuses on capabilities present in the current codebase: data import, spectral preprocessing, PCA, PLS regression, SIMCA/KNN/PLS-DA classification, MCR-ALS, peak finding, library comparison, workflow templates, model artifacts, reports, exports, optional SpectroChemPy readers, NIST reference data, and HITRAN/HAPI synthesis.

This documentation keeps broader exploratory or older modality material out of the production onboarding path until it has a verified user story.