# mokucli stream
Stream LI binary data from Moku onto a local network port
# Usage
$ mokucli stream [OPTIONS]
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# Options
--ip-address TEXT
: IP address of the Moku--stream-id TEXT
: Stream ID, this is part ofstart_streaming
response--target TEXT
: Target to write data to; port, file, or stdout (see target types below)- PORT: Local port number between 1024 and 65535
- FILE: A valid filename with extension
.csv
,.mat
, or.npy
- STDOUT: Use
-
to print to console
--help
: Show this message and exit
# Examples
# Stream to TCP port 8005
mokucli stream --ip-address 192.168.1.100 --stream-id logsink0 --target 8005
# Stream to CSV file
mokucli stream --ip-address 192.168.1.100 --stream-id logsink0 --target stream_data.csv
# Stream to NumPy file
mokucli stream --ip-address 192.168.1.100 --stream-id logsink0 --target stream_data.npy
# Stream to MATLAB file
mokucli stream --ip-address 192.168.1.100 --stream-id logsink0 --target stream_data.mat
# Stream to standard output (console)
mokucli stream --ip-address 192.168.1.100 --stream-id logsink0 --target -
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# Output
Note
The stream will continue for the duration set unless interrupted with Ctrl+C
# Stream to standard output (console)
mokucli stream --ip-address 192.168.1.100 --stream-id logsink0 --target -
% Moku:Go Data Logger
% Input 1 (on), DC , 1 MOhm , 10 Vpp
% Input 2 (on), DC , 1 MOhm , 10 Vpp
% Acquisition rate: 1.0000000000e+02 Hz, Precision mode
% Output 1 (off) - Sine, 10.000 000 000 000 MHz, 1.000 0 Vpp, offset 0.000 0 V, phase 0.000 000 deg
% Output 2 (off) - Square, 50.000 000 000 kHz, 500.0 mVpp, offset 0.000 0 V, phase 0.000 000 deg, duty cycle 50.00 %
%
% Acquired 2025-08-27 T 12:01:15 +1000
% Time (s), Input 1 (V), Input 2 (V)
0.0000000000e+00, 1.6158858657e-02, -3.1586672866e-03
1.0000000000e-02, 1.6205819086e-02, -2.6268451131e-03
2.0000000000e-02, 1.6088761931e-02, -2.5640019285e-03
3.0000000000e-02, 1.6031327637e-02, -2.7892681696e-03
4.0000000000e-02, 1.6219919721e-02, -2.9075759359e-03
...
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# Target Types
# Network Port
When targeting a port, the decoded stream data is made available on the specified TCP port. Client applications can connect to this port to receive the data.
# File Output
Files are created in the current working directory:
.csv
- Comma-separated values format.mat
- MATLAB format.npy
- NumPy binary format
# Standard Output
Using -
as the target prints the converted stream data to the console.
# Use Cases
This command is commonly used:
- Inside client packages to receive Data Logger streams
- For languages without dedicated client packages
- To save streaming data directly to files
- For real-time data processing pipelines
# Notes
- The stream ID is obtained from the instrument's
start_streaming
API response - The stream will continue for the duration set unless interrupted with Ctrl+C
- File output automatically converts the binary stream to the specified format
- Network streaming provides raw decoded data for custom processing
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