Index¶

Description¶

scikit-rf (aka skrf) is an Open Source, BSD-licensed package for RF/Microwave engineering implemented in the Python programming language. It provides a modern, object-oriented library for network analysis and calibration which is both flexible and scalable. See some of the features below and check out the Documentation or Examples for a more in-depth look at scikit-rf.

Getting Started¶

Plot touchstone data on a smith chart, in 3 lines.

import skrf as rf
ntwk = rf.Network('ring slot.s2p')
ntwk.plot_s_smith()

For more information, tutorials, and

examples, see the Documentation

Some Examples¶

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Features¶

Microwave Network Operations:
- Read/Write touchstone (.s2p, s?p) files
- Arithmetic operations on scattering parameters
- Cascade/De-embed 2-port networks
- Frequency and port slicing and concatenation.
- Connect n-port networks
- s/z/y/abcd/t - parameter conversion
Sets of Networks:
- Statistical properties of NetworkSets
- Methods to sort and visualize set behavior
GUI support through qtapps
- modular, re-useable apps
- supports data retrieval, plotting, calibration and more.
Plotting abilities:
- Rectangular Plots ( dB, mag, Phase, group delay)
- Smith Chart
- Automated Uncertainty bounds
Offline Calibration:
- One-Port: SOL, Least Squares, SDDL
- Two-Port: TRL, Multiline TRL, SOLT, Unknown Thru, 8/16-Term
- Partial : Enhanced Response, One-Port Two-Path
Virtual Instruments (completeness varies by model)
- VNAs: PNA, PNAX, ZVA, HP8510, HP8720
- SA: HP8500
- Others: ESP300
Transmission Line Physics:
- Coax, CPW, Freespace, RectangularWaveguide, DistributedCircuit

Help/Feedback/BUGs¶