Siglent-Oscilloscope 0.2.0

Python package for controlling Siglent oscilloscopes (SDS800XHD, SDS1000X, SDS2000X Plus, SDS5000X series) via Ethernet

Siglent Oscilloscope Control

A professional Python package for controlling Siglent oscilloscopes via Ethernet/LAN. Features both a comprehensive programmatic API and a high-performance PyQt6-based GUI application with real-time visualization.

Features

Core Features

• Programmatic API: Control your oscilloscope from Python scripts
• Automation & Data Collection: High-level API for batch capture, continuous monitoring, and analysis
• GUI Application: Modern PyQt6-based graphical interface
• Waveform Acquisition: Capture and download waveform data in multiple formats (NPZ, CSV, MAT, HDF5)
• Channel Configuration: Control voltage scale, coupling, offset, bandwidth
• Trigger Settings: Configure trigger modes, levels, edge detection
• Advanced Analysis: Built-in FFT, SNR, THD, and statistical analysis tools

GUI Features (New!)

• High-Performance Live View: Real-time waveform display at 1000+ fps using PyQtGraph
• Interactive Visual Measurements: Click-and-drag measurement markers directly on waveforms
  • 15+ measurement types: Frequency, Vpp, Rise Time, Duty Cycle, etc.
  • Visual gates and markers with real-time calculation
  • Save/load measurement configurations
  • Export results to CSV/JSON
• Non-Blocking Updates: Threaded data acquisition keeps GUI responsive
• Reference Waveforms: Save, overlay, and compare waveforms
• Protocol Decoding: I2C, SPI, UART, CAN, LIN support
• Math Functions: Custom math expressions on waveforms
• VNC Display: Embedded oscilloscope screen viewer

Installation

From PyPI (recommended)

pip install Siglent-Oscilloscope

To include the optional GUI dependencies, install with the gui extra:

pip install "Siglent-Oscilloscope[gui]"

Note: The siglent-gui command includes automatic dependency checking. If you try to run the GUI without the required packages, you'll receive a clear error message with installation instructions. Missing optional dependencies (like PyQtGraph for high-performance live view) will trigger warnings but allow the GUI to launch.

From source

git clone [e-mail]:little-did-I-know/Siglent-Oscilloscope.git
cd siglent
pip install -e .

Install with GUI support from source:

pip install -e ".[gui]"

Development installation

pip install -e ".[dev]"

Build & Publish (PyPI)

To create release artifacts that render correctly on PyPI:

python -m build
twine check dist/*

The twine check command validates the built distributions, including the long description rendered from README.md, before upload.

Quick Start

Programmatic Usage

from siglent import Oscilloscope

# Connect to oscilloscope
scope = Oscilloscope('192.168.1.100')
scope.connect()

# Get device information
print(scope.identify())

# Configure channel 1
scope.channel1.set_scale(1.0)  # 1V/div
scope.channel1.set_coupling('DC')
scope.channel1.enable()

# Capture waveform
waveform = scope.get_waveform(channel=1)
print(f"Captured {len(waveform.time)} samples")

scope.disconnect()

GUI Application

siglent-gui

Or from Python:

from siglent.gui.app import main
main()

Requirements

Core Library

• Python 3.8+
• NumPy >= 1.24.0
• Matplotlib >= 3.7.0
• SciPy >= 1.10.0

GUI Application (optional)

Install with [gui] extra to add:

• PyQt6 >= 6.6.0
• PyQt6-WebEngine >= 6.6.0
• PyQtGraph >= 0.13.0 (high-performance plotting)

Optional Extras

• HDF5 support: Install with [hdf5] to add h5py >= 3.8.0
• All features: Install with [all] for complete functionality

Connection

The oscilloscope must be connected to your network. The default SCPI port is 5024.

To find your oscilloscope's IP address:

1. Press Utility on the oscilloscope
2. Navigate to I/O settings
3. Check the LAN configuration

GUI Application Guide

Live View

The GUI features high-performance real-time waveform viewing powered by PyQtGraph:

Acquisition → Live View (Ctrl+R)

Performance:

• Real-time updates at 5-20 fps (configurable)
• 100x faster than traditional matplotlib-based viewers
• Non-blocking: GUI remains responsive during data acquisition
• Supports all 4 channels simultaneously

Controls:

• Enable channels in the "Channels" tab first
• Live view automatically acquires from enabled channels
• Adjust update rate by modifying update_interval in live_view_worker.py

Visual Measurements

Interactive measurement markers that you can place and adjust directly on waveforms:

How to use:

1. Go to the "Visual Measure" tab
2. Select measurement type (Frequency, Vpp, Rise Time, etc.)
3. Select channel (CH1-CH4)
4. Click "Add Marker"
5. Marker auto-places on waveform
6. Drag marker gates to adjust measurement region
7. See real-time measurement updates

Measurement Types:

• Frequency/Period: Auto-detects signal period
• Voltage: Vpp, Amplitude, Max, Min, RMS, Mean
• Timing: Rise Time, Fall Time, Pulse Width, Duty Cycle

Features:

• Save/Load Configs: Save measurement setups for reuse
• Export Results: Export to CSV or JSON
• Auto-Update: Optional 1-second auto-refresh
• Batch Mode: Run multiple measurements simultaneously

Example Workflow:

# In GUI:
# 1. Capture or enable live view
# 2. Visual Measure tab → Add Marker
# 3. Type: "Frequency", Channel: "CH1" → Add
# 4. Marker appears with measurement result
# 5. Save Config → "my_measurements.json"
# 6. Export Results → "results.csv"

Other GUI Features

Cursors:

• Vertical cursors for time measurements
• Horizontal cursors for voltage measurements
• Delta calculations (ΔT, ΔV, frequency)

Reference Waveforms:

• Save waveforms as references
• Overlay comparisons
• Difference mode (live - reference)
• Calculate correlation

Math Channels:

• Custom expressions: C1 + C2, C1 * 2, etc.
• Real-time calculation

FFT Analysis:

• Frequency domain visualization
• Window function selection
• Peak detection

Protocol Decode:

• I2C, SPI, UART, CAN, LIN decoding
• Packet analysis and export

API Documentation

Oscilloscope

from siglent import Oscilloscope

# Connect
scope = Oscilloscope('192.168.1.100', port=5024, timeout=5.0)
scope.connect()

# Device information
print(scope.identify())  # Get *IDN? string
print(scope.device_info)  # Parsed device info dict

# Basic controls
scope.run()           # Start acquisition (AUTO mode)
scope.stop()          # Stop acquisition
scope.auto_setup()    # Auto setup
scope.reset()         # Reset to defaults

Channels

# Channel configuration (channels 1-4)
scope.channel1.enable()
scope.channel1.coupling = "DC"  # DC, AC, or GND
scope.channel1.voltage_scale = 1.0  # Volts/division
scope.channel1.voltage_offset = 0.0  # Volts
scope.channel1.probe_ratio = 10.0  # 10X probe
scope.channel1.bandwidth_limit = "OFF"  # ON or OFF

# Get configuration
config = scope.channel1.get_configuration()

Trigger

# Trigger configuration
scope.trigger.mode = "NORMAL"  # AUTO, NORM, SINGLE, STOP
scope.trigger.source = "C1"  # C1, C2, C3, C4, EX, LINE
scope.trigger.level = 0.0  # Trigger level in volts
scope.trigger.slope = "POS"  # POS (rising) or NEG (falling)

# Edge trigger setup
scope.trigger.set_edge_trigger(source="C1", slope="POS")

# Trigger actions
scope.trigger.single()  # Single trigger
scope.trigger.force()   # Force trigger

Waveform Acquisition

# Acquire waveform
waveform = scope.get_waveform(channel=1)

# Access data
print(waveform.time)      # Time array (numpy)
print(waveform.voltage)   # Voltage array (numpy)
print(waveform.sample_rate)
print(waveform.record_length)

# Save waveform
scope.waveform.save_waveform(waveform, "data.csv", format="CSV")

Measurements

# Individual measurements
freq = scope.measurement.measure_frequency(1)
vpp = scope.measurement.measure_vpp(1)
vrms = scope.measurement.measure_rms(1)
period = scope.measurement.measure_period(1)

# All measurements at once
measurements = scope.measurement.measure_all(1)

Programmatic Data Collection & Automation

For advanced data collection workflows, use the high-level automation API:

from siglent.automation import DataCollector

# Simple capture with automatic analysis
with DataCollector('192.168.1.100') as collector:
    # Capture waveforms
    data = collector.capture_single([1, 2])

    # Analyze waveform
    stats = collector.analyze_waveform(data[1])
    print(f"Vpp: {stats['vpp']:.3f}V, Freq: {stats['frequency']/1e3:.2f}kHz")

    # Save to file (supports NPZ, CSV, MAT, HDF5)
    collector.save_data(data, 'measurement.npz')

Batch capture with configuration sweeps:

# Capture with different timebase and voltage settings
results = collector.batch_capture(
    channels=[1],
    timebase_scales=['1us', '10us', '100us'],
    voltage_scales={1: ['500mV', '1V', '2V']},
    triggers_per_config=5
)
collector.save_batch(results, 'batch_output')

Continuous time-series collection:

# Collect data over time with automated file saving
collector.start_continuous_capture(
    channels=[1, 2],
    duration=300,          # 5 minutes
    interval=1.0,          # 1 capture per second
    output_dir='time_series_data',
    file_format='npz'
)

Event-based trigger capture:

from siglent.automation import TriggerWaitCollector

with TriggerWaitCollector('192.168.1.100') as tc:
    # Configure trigger
    tc.collector.scope.trigger.set_source(1)
    tc.collector.scope.trigger.set_slope('POS')
    tc.collector.scope.trigger.set_level(1, 1.0)

    # Wait for trigger event
    data = tc.wait_for_trigger(channels=[1, 2], max_wait=30.0)

Advanced analysis:

# Built-in analysis includes: Vpp, RMS, frequency, SNR, THD, etc.
analysis = collector.analyze_waveform(waveform)
print(f"SNR: {analysis['snr_db']:.2f} dB")
print(f"THD: {analysis['thd_percent']:.2f}%")

See examples/ directory for complete automation examples including:

• Simple capture (simple_capture.py)
• Batch processing (batch_capture.py)
• Continuous monitoring (continuous_capture.py)
• Trigger-based capture (trigger_based_capture.py)
• Advanced analysis with visualization (advanced_analysis.py)

Examples

See the examples/ directory for complete working examples:

• basic_usage.py - Connection and basic operations
• waveform_capture.py - Capture and save waveforms
• measurements.py - Automated measurements
• live_plot.py - Real-time plotting

Supported Models

Fully Tested

• SDS800X HD Series: SDS804X HD, SDS824X HD
• SDS1000X-E Series: SDS1102X-E, SDS1104X-E, SDS1202X-E, SDS1204X-E
• SDS2000X Plus Series: SDS2104X+, SDS2204X+, SDS2354X+
• SDS5000X Series: SDS5034X, SDS5054X, SDS5104X

Compatibility

Should work with other Siglent oscilloscopes that support SCPI commands over Ethernet. Model-specific features are auto-detected via the ModelCapability registry.

Note: Some SCPI commands vary between models. The library includes model-specific command variants for HD, X, and Plus series.

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

MIT License - see LICENSE file for details