Fitspy

Spec sheet

Purpose

Fitspy is a dedicated tool for fitting spectra, independent of a specific physical quantity or database.Read 12 Oct 2026 · cea-metrocarac.github.io

Deployment

desktopRead 23 Sep 2026 · github.com

Free plan

YesRead 23 Sep 2026 · github.com

Maker

The CEA-MetroCarac organization describes itself as the Metrology and Characterization activities at the French Alternative Energies and Atomic Energy Commission.Read 12 Oct 2026 · github.com

Automation

GUI workflows can be performed with Python scripts, and saved models can be replayed or applied to other datasets.Read 12 Oct 2026 · github.com

Baselines

Fitspy supports manually defined baselines and a semi-automatic ARPLS baseline algorithm.Read 12 Oct 2026 · cea-metrocarac.github.io

Custom models

Users can define models using literal expressions or Python scripts.Read 12 Oct 2026 · cea-metrocarac.github.io

Data formats

Fitspy reads single 1D spectra and 2D-map spectra, and supports formats including DM3, DM4, EMD, HSPY, NXS, and NXCanSAS-related HDF files.Read 12 Oct 2026 · cea-metrocarac.github.io

Data import formats

.txt; .dm3; .dm4; .emd; .hspy; .nxs; .h5; .h4; .hdf; NXCanSASRead 23 Sep 2026 · github.com

Fitting engine

Fitspy performs fitting using the lmfit package and supports multiprocessing, parameter bounds, and parameter constraints.Read 12 Oct 2026 · cea-metrocarac.github.io

Installation

The maker recommends installation from PyPI with `pip install fitspy`; installation from GitHub is also documented.Read 12 Oct 2026 · github.com

Interfaces

Fitspy offers a Tkinter GUI and a newer PySide GUI, with future fixes and updates focused primarily on PySide.Read 12 Oct 2026 · cea-metrocarac.github.io

License and requirement

Fitspy is distributed under GPLv3 and requires Python 3.9 or later.Read 12 Oct 2026 · pypi.org

Limits

User-defined models initialize all parameters to 1, which the documentation says can lead to poor convergence.Read 12 Oct 2026 · cea-metrocarac.github.io

Noise and outliers

Fitspy can disable peak models in noisy regions and detect outliers, with automatic outlier detection suited particularly to 2D-map spectra.Read 12 Oct 2026 · cea-metrocarac.github.io

Peak fitting

Predefined peak models include Gaussian, Lorentzian, asymmetric Gaussian, asymmetric Lorentzian, and Pseudovoigt.Read 12 Oct 2026 · github.com

Scripting support

YesRead 23 Sep 2026 · github.com

Use cases

The documentation describes using the GUI for a few spectra and Python batches for several thousand spectra or more.Read 12 Oct 2026 · cea-metrocarac.github.io

Plans and prices

Every Fitspy plan and price →

Where Specifiction places it

• Statistical Analysis Software#39 of 1068.0