Welcome to the Fitspy documentation !

User Guide

• Introduction
  • What is Fitspy
  • Install and launching
  • Quick start
    • PySide GUI :
    • Tkinter GUI :
  • How Fitspy works
• Input data files
  • 1D-spectrum
  • 2D-map spectra
• Baselines and Background models
  • Baseline approach
    • Manual approach
    • Semi-Automatic approach
  • Background model
    • User-defined background models
• Peak models
  • Predefined models
    • Gaussian
    • Lorentzian
    • Asymetric Gaussian
    • Asymetric Lorentzian
    • Pseudovoigt
  • Bichromatic models
  • User-defined models
• Fitting
  • Noise level
  • Outliers
  • Fitting parameters
    • Fitting algorithm
    • Convergence criterion
    • Maximum number of iterations
    • Mask and Weights
    • Multi-threading
    • Parameters values initialization
  • Constraints settings
    • Models parameters fixing
    • Models parameters bounding
    • Models parameters coupling
  • Performance
• Workflow
  • GUI Mode
    • PySide GUI:
    • Tkinter GUI:
    • Interactive bounds:
  • Scripting Mode
• Auto mode
• GUI description
  • Files selection
  • Global actions (Tkinter)
  • Overall settings
  • Baseline
  • Normalization
  • Fitting
  • Models (Tkinter GUI)
  • Models (PySide GUI)
  • Main Figure
  • 2D-map Figures
• Outputs
  • Outputs models
  • Fit results

Release Notes

• Release Notes
  • Version 2025.6 (May 19, 2025)
  • Version 2025.5 (April 28, 2025)
  • Version 2025.4 (April 2, 2025)
  • Version 2025.3 (March 14, 2025)
  • Version 2025.2 (February 24, 2025)
  • Version 2025.1 (February 17, 2025)
  • Version 2024.5 (September 4, 2024)
  • Version 2024.4 (February 27, 2024)
  • Version 2024.2 (January 29, 2024)
  • Version 2024.1 (January 16, 2024)
  • Version 2023.x

Developers Guide

• Developers Notes
  • Issues
  • Visual Studio Code Setup to Preview .rst Files
  • Pull Requests
  • TODO List

API References

• fitspy
  • fitspy package
    • fitspy.apps package
    • fitspy.core package