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Chi vs Fitspy

Both stand on statistical analysis software. Which one you can start free with, which one lets you read the code, and what each costs once you pay.

Chi

Free plan LinuxMacWindows

Choose Chi if you need a free Python package for PKPD modelling, treatment simulation, inference, population modelling, or dosing optimisation. Look elsewhere if you need software that does not require Python, or if separate Sundials setup on Ubuntu or macOS is unsuitable.

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Fitspy

Free plan LinuxMacWindows

Choose Fitspy if you need a free spectral-fitting tool that supports both GUI work and Python batch workflows. Its broad import support, customizable models, and 2D-map outlier detection are useful for varied fitting tasks. Allow for Python 3.9 or later, and take care with user-defined models because their parameters initialize at 1 and may converge poorly.

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The facts

ChiFitspy
Free planYesYes
Open sourceNot publishedNot published
Runs onLinux, Mac, WindowsLinux, Mac, Windows
Lowest paid planFree or on requestFree or on request
Plans published11
MakerChiNot published
Websitechi.readthedocs.iogithub.com
On statistical analysis software#19 of 106#23 of 106

Chi: what it does well

  • Free, open-source Python package under BSD-3-Clause.
  • Simulates custom dosing regimens with PKPD, PBPK, or QSP models.
  • Supports classical and Bayesian parameter inference.
  • Models population variation with mixed effects and covariates.
  • Includes dosing optimisation and model-informed precision dosing.

What to know first

  • Ubuntu and macOS users must install Sundials separately.
  • Use requires working with a Python package.

Fitspy: what it does well

  • Free and distributed under GPLv3.
  • Runs on Linux, macOS, and Windows.
  • Reads single spectra and 2D-map spectra.
  • Offers five predefined peak model types.
  • GUI workflows can also be performed with Python scripts.

What to know first

  • Requires Python 3.9 or later.
  • User-defined models start all parameters at 1, which can impair convergence.
  • Future fixes and updates focus primarily on the PySide interface.

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