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A multiplatform tool to save Touchstone files from the NanoVNA, sweep frequency spans in segments to gain more than 101 data points, and generally display and analyze the resulting data.

Latest Changes

Changes in v0.3.4

Changes in v0.3.3

Changes in v0.3.2


This software connects to a NanoVNA and extracts the data for display on a computer and allows saving the sweep data to Touchstone files.

Current features:

0.1.4: Screenshot of version 0.1.4

Running the application

The software was written in Python on Windows, using Pycharm, and the modules PyQT5, numpy, scipy and pyserial.

Binary releases

You can find 64bit binary releases for Windows, Linux and MacOS under


Versions older than Windows 7 are not known to work.

Windows 7

It requires Service Pack 1 and [Microsoft VC++ Redistributable] ( For most users, this would already be installed.

Windows 10

The downloadable executable runs directly, and requires no installation.

Installation and Use with pip
  1. Clone repo and cd into the directory

    git clone
    cd nanovna-saver
  2. Run the pip installation

    pip3 install .
  3. Once completed run with the following command



Ubuntu 18.04 & 19.04

Installation and Use with pip
  1. Install python3.7 and pip

    sudo apt install python3.7 python3-pip
  2. Clone repo and cd into the directory

    git clone
    cd nanovna-saver
  3. Update pip and run the pip installation

    python3.7 -m pip install -U pip
    python3.7 -m pip install .

(You may need to install the additional packages python3-distutils, python3-setuptools and python3-wheel for this command to work on some distributions.)

  1. Once completed run with the following command


Mac OS:


Via a MacPorts distribution maintained by @ra1nb0w.

  1. Install MacPorts following the install guide

  2. Install NanoVNASaver :

    sudo port install NanoVNASaver
  3. Now you can run the software from shell NanoVNASaver or run as app /Applications/MacPorts/


  1. Install Homebrew From :

     /usr/bin/ruby -e "$(curl -fsSL"
  2. Python :

    brew install python
  3. NanoVNASaver Installation

    git clone git clone
    cd nanovna-saver
  4. Install local pip packages

    python3 -m pip install .

Using the software

Connect your NanoVNA to a serial port, and enter this serial port in the serial port box. If the NanoVNA is connected before the application starts, it should be automatically detected. Otherwise, click "Rescan". Click "Connect to device" to connect.

The app can collect multiple segments to get more accurate measurements. Enter the number of segments to be done in the "Segments" box. Each segment is 101 data points, and takes about 1.5 seconds to complete.

Frequencies are entered in Hz, or suffixed with k or M. Scientific notation (6.5e6 for 6.5MHz) also works.

Markers can be manually entered, or controlled using the mouse. For mouse control, select the active marker using the radio buttons, or hold "shift" while clicking to drag the nearest marker. The marker readout boxes show the actual frequency where values are measured. Marker readouts can be hidden using the "hide data" button when not needed.

Display settings are available under "Display setup". These allow changing the chart colours, the application font size and which graphs are displayed. The settings are saved between program starts.


Before using NanoVNA-Saver, please ensure that the device itself is in a reasonable calibration state. A calibration of both ports across the entire frequency span, saved to save slot 0, is sufficient. If the NanoVNA is completely uncalibrated, its readings may be outside the range accepted by the application.

In-application calibration is available, either assuming ideal standards or with relevant standard correction. To manually calibrate, sweep each standard in turn and press the relevant button in the calibration window. For assisted calibration, press the "Calibration Assistant" button. If desired, enter a note in the provided field describing the conditions under which the calibration was performed.

Calibration results may be saved and loaded using the provided buttons at the bottom of the window. Notes are saved and loaded along with the calibration data.

Screenshot of Calibration Window

Users of known characterized calibration standard sets can enter the data for these, and save the sets.

After pressing Apply, the calibration is immediately applied to the latest sweep data.

Currently, load capacitance is unsupported


To get accurate TDR measurements, calibrate the device, and attach the cable to be measured at the calibration plane - i.e. at the same position where the calibration load would be attached. Open the "Time Domain Reflectometry" window, and select the correct cable type, or manually enter a propagation factor.

Frequency bands

Open the "Display setup" window to configure the display of frequency bands. By clicking "show bands", predefined frequency bands will be shown on the frequency-based charts. Click manage bands to change which bands are shown, and the frequency limits of each. Bands default and reset to European amateur radio band frequencies.


This software is licensed under version 3 of the GNU General Public License. It comes with NO WARRANTY.

You can use it, commercially as well. You may make changes to the code, but I (and the license) ask that you give these changes back to the community.



Original application by Rune B. Broberg (5Q5R)

Contributions and changes by Holger Müller, David Hunt and others.

TDR inspiration shamelessly stolen from the work of Salil (VU2CWA) at

TDR cable types by Larry Goga.

Bugfixes and Python installation work by Ohan Smit.

Thanks to everyone who have tested, commented and inspired. Particular thanks go to the alpha testing crew who suffer the early instability of new versions.

This software is available free of charge. If you read all this way, and you still want to support it, you may donate to the developer using the button below: