Python interface to OpenEMS, for PCB trace simulation. Accepts Gerber files as input. Features automatic grid generation and postprocessing.
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Dec 2, 2025 - Python
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s-parameters
Here are 23 public repositories matching this topic...
Python tools for signal integrity applications
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Dec 1, 2025 - Python
S + Autograd + XLA :: S-parameter based frequency domain circuit simulations and optimizations using JAX.
deep-learning simulation optimization autograd simulation-framework simulations circuit physics-simulation ann photonics s-parameters jax xla photonic-circuit photonic-optimization
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Nov 16, 2025 - Python
Frequency domain, multi-tone harmonic balance, simulation of scattering parameters and noise in nonlinear circuits containing Josephson junctions. Scattering parameter conversion and interconnection.
julia circuit-simulator circuits spice quantum-computing circuit touchstone microwave-engineering s-parameters microwave spice-simulator scattering-parameters harmonic-balance quantum-engineering
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Dec 7, 2025 - Julia
FDTD 3D simulator that generates s-parameters from OFF geometry files using one or more GPUs
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Jan 16, 2023 - Jupyter Notebook
CAD tool for designing RF and microwave circuits.
gui electronics pyqt5 smith-chart unipi microwave-engineering s-parameters y-parameters qtdesigner rf-electronics
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Jul 6, 2023 - Python
CAD tool for designing RF and microwave circuits
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Dec 1, 2020 - C++
NanoVNA‑X is a refined firmware for NanoVNA‑H/H4, introducing an event‑driven architecture, improved sweep stability, UI polish, per‑unit USB identifiers, and integrated SD features for reliable field operation.
firmware signal-processing stm32 ham-radio calibration sweep open-source-hardware embedded-c s-parameters dfu-util vector-network-analyzer nanovna arm-cortex-m nanovna-h nanovna-h4 rf-measurement impedance-analysis
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Nov 29, 2025 - C
Utility to transform, cascade, de-embed and describe s-parameter touchstone files
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Jan 12, 2020 - Python
OPICS : An S-parameter based photonic circuit simulator
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Aug 23, 2022 - Python
RF Toolbox for TI-Nspire Calculators
matching gain rf rf-calculations microwave-engineering nf s-parameters z-parameters y-parameters ti-nspire-cx-cas rf-system noise-figure iip3
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Sep 2, 2021
PyVNA: Multi-protocol Python library for NanoVNA V1/V2/LiteVNA, derived from GoVNA for high performance & secure server-side applications. Supports auto-detection, robust device pooling, and comprehensive data handling.
s-parameters vector-network-analyzer nanovna rf-measurements nanovna-h nanovna-h4 impedance-analysis
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Dec 6, 2025 - Python
ELC3050: a calculator for rectangular cavity resonator quality factor using matlab + dipole antenna project
engineering matlab cst antenna communications s-parameters waveguides transmission-lines elc3050 cavity-resonators rectangular-cavity half-dipole-antenna microwaves
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Jan 25, 2023 - MATLAB
Inductor lumped circuit model from s-parameters.
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Dec 3, 2022 - Python
Designing Amplifier based on S-parameters
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Sep 2, 2021 - C#
GoVNA: A robust and secure Go library for controlling NanoVNA vector network analyzers. Features multi-protocol support (V1, V2/LiteVNA), automatic device detection, and optimized for high-performance server-side applications.
s-parameters vector-network-analyzer nanovna rf-measurements nanovna-h nanovna-h4 impedance-analysis
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Dec 6, 2025 - Go
Save and load network parameters in the Touchstone file format
touchstone network-parameters microwave-engineering s-parameters touchstone-file scattering-parameters
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Jun 10, 2025 - Julia
Design and Implementation of a Microwave Laboratory for Composite Material Testing
python node-red lab-automation metamaterials ethercat arduino-mega s-parameters rohde-schwarz vector-network-analyzer coaxial anechoic-room scattering-parameters solt-calibration kollmorgen instron pcb-cells horn-antenna rf-multiplexer rf-switches deembedding
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Jan 23, 2025 - Python
VNAAnalyzer est une application pour charger, visualiser et exporter des fichiers .s2p à l'aide d'un analyseur de réseaux vectoriels (VNA).
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Jul 18, 2024 - Python
This project utilizes TensorFlow and Keras to apply neural networks (Basic, LSTM, and GRU) to predict input parameters for a human head-antenna system using scattering parameters. The GRU model consistently outperforms others, showcasing its potential for accurate predictions
keras lstm gru antenna scattering s-parameters microwave tensoflow scattering-parameters s-parameter-fitting
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Oct 29, 2023 - Jupyter Notebook
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