Pre-release

This release is a pre-release and may not be stable for production use.

fasteis


[!WARNING] In early development, not yet suitable for use in production

A library for simulating EIS with equivalent circuits.

fasteis uses a few tricks to make EIS fitting faster and more reliable:

  • Small convolutional neural networks are used to automatically get good initial fit parameters
  • It is written in Rust with fast and numerically stable maths

Builds on the excellent work from impedance.py and PyEIS.

Quickstart:

pip install fasteis

import fasteis

circuit = fasteis.Circuit("R0-(CPE1,R1-W1)")
result = circuit.fit(f, Z)

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Latest release

1 maintainer

PyPI data
Data sourced directly from PyPI's database.
Avatar for g-kimbell from gravatar.com g-kimbell

Requires

Python >=3.8

Classifiers

Report project as malware

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