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)

See the docs for more details.