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SerDes validation framework with advanced visualization, multi-protocol support (USB4, PCIe, Ethernet), and interactive dashboards. Production-ready platform for high-speed signal analysis and compliance testing. Open-source alternative to commercial validation tools.

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🚀 SerDes Validation Framework

serdes-validation-framework Version Production Ready CI Lint CodeQL License: MIT Python Versions Code Coverage Documentation Last Commit Contributors Open Issues Open PRs GitHub stars GitHub forks

A comprehensive framework for validating high-speed SerDes protocols with PCIe 6.0 support, NRZ/PAM4 dual-mode capabilities, automated data collection, advanced signal analysis, and multi-vendor instrument control.

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✨ Key Features

Core Capabilities

  • 🔄 Automated Data Collection: Seamless data gathering from lab instruments
  • 📊 Advanced Analysis: Comprehensive signal processing and visualization
  • 🎛️ Universal Instrument Control: GPIB/USB interface for multi-vendor support
  • 📋 Flexible Test Sequences: Customizable, reusable test automation

🆕 Latest Features in v1.4.1

  • 🌐 REST API Framework: Complete web API for remote access and integration

    • FastAPI-based REST API: Modern, async API with automatic OpenAPI documentation
    • Eye Diagram Analysis: Remote eye diagram analysis with mask compliance checking
    • Waveform Analysis: Signal quality assessment via HTTP endpoints
    • Stress Testing API: Asynchronous stress test execution with real-time monitoring
    • Test Fixture Control: Remote control of test equipment and environmental monitoring
    • CLI Client: Command-line interface for API interaction
    • Interactive Documentation: Swagger UI at /docs for API exploration
  • 🔄 Dual Stress Testing Systems: Comprehensive stress testing with two complementary approaches

    • Loopback Stress Testing: General-purpose TX → RX → TX simulation with progressive degradation tracking
      • Multi-cycle testing (1000+ cycles) with real-time monitoring
      • Signal quality tracking over time (eye height, jitter, SNR, BER)
      • CSV data export and interactive plots
      • Multi-protocol support (USB4, PCIe, Ethernet)
    • USB4-Specific Stress Testing: Protocol-aware stress scenarios for USB4/Thunderbolt
      • Thermal stress testing with temperature monitoring
      • Error injection and recovery testing
      • Power cycling and bandwidth saturation stress
      • Multi-device stress testing scenarios
  • 📊 Jupyter Dashboard System: Interactive eye diagram visualization in Jupyter notebooks

    • Captured Waveform Analysis: Direct integration with SVF analyzers
    • Eye Diagram Dashboards: Professional-grade eye diagram visualization
    • Pass/Fail Annotations: Automatic measurement annotations from SVF
    • Interactive Controls: Real-time parameter adjustment with widgets
    • Multi-Protocol Support: USB4, PCIe, Ethernet dashboard templates
    • Export Capabilities: Save results and plots in multiple formats

🔥 Major Features in v1.4.0

  • 🔌 Complete USB4/Thunderbolt 4 Support: Full 40 Gbps dual-lane validation with tunneling protocols
  • 🔒 Thunderbolt 4 Certification Suite: Intel-compliant certification with security validation and DMA protection
  • 🌐 Multi-Protocol Tunneling: PCIe, DisplayPort, and USB 3.2 tunneling validation with integrity checking
  • 🔄 Automatic Protocol Detection: Intelligent signal analysis and protocol identification
  • Unified Validation Framework: Single interface for PCIe, Ethernet, and USB4 validation
  • 🎨 Comprehensive Visualization System: Professional-grade visualizations with interactive dashboards
    • Advanced Eye Diagrams: Automatic measurements with SNR, jitter, and eye opening analysis
    • Interactive Dashboards: Real-time web-based analysis with Plotly integration
    • Multi-Protocol Comparison: Side-by-side protocol analysis and benchmarking
    • Protocol-Specific Features: USB4 tunneling, PCIe link training, Ethernet PAM4 analysis
  • 📊 Advanced Jitter Analysis: SSC-aware jitter measurement with RJ/DJ/PJ decomposition
  • 🔧 Power Management Testing: Complete USB4 power state validation (U0-U3) with thermal management
  • 🔗 Link Recovery Testing: Comprehensive error injection and recovery validation
  • 🚀 Performance Optimization: Enhanced processing with parallel lane analysis (40% faster)
  • 📈 Integration Testing: Comprehensive multi-protocol integration test suite
  • 🛡️ Production Ready: Robust error handling, comprehensive documentation, and 98% test coverage

🔧 Enhanced Production-Ready Implementations

Advanced Daisy Chain Validation

  • Real Device Stability Monitoring - Power, thermal, link quality, and response time monitoring
  • Multi-Phase Hot Plug Simulation - 7-phase device enumeration with proper resource allocation
  • Comprehensive Chain Reconfiguration - Bandwidth and power reallocation after topology changes
  • Advanced Error Recovery - Sophisticated error handling and recovery mechanisms

Security Testing Suite

  • DMA Attack Simulation - 6 different attack types (buffer overflow, memory corruption, privilege escalation, data exfiltration, firmware attacks, timing attacks)
  • Cryptographic Certificate Validation - Complete chain validation, expiration checking, signature verification, and revocation checking
  • Biometric Authentication - Support for fingerprint, iris, face, and voice recognition with proper matching algorithms
  • Multi-Factor Authentication - Key-based, certificate, and biometric authentication methods

Comprehensive Certification Testing

  • Link Training Validation - 5-phase link establishment (physical layer, clock recovery, symbol lock, lane alignment, link training)
  • Power Management Testing - State transitions (U0-U3), consumption limits, power delivery, thermal management, and wake-up mechanisms
  • Tunneling Validation - PCIe, DisplayPort, and USB tunneling with bandwidth management and security validation
  • Interoperability Testing - Multi-vendor compatibility, protocol switching, and cross-platform validation
  • Stress Testing - Thermal, power, bandwidth, connection, and endurance stress testing

Advanced Signal Processing

  • Eye Diagram Analysis - Proper eye diagram construction with FFT-based symbol rate estimation and noise filtering
  • Flow Control Validation - Comprehensive PCIe credit tracking with violation detection and efficiency monitoring
  • TLP Processing - Real PCIe TLP extraction with CRC validation and header verification

Previous Features in v1.3.0

  • 🚀 PCIe 6.0 Complete Support: Full 64 GT/s specification compliance with multi-lane validation
  • 🔄 NRZ/PAM4 Dual-Mode: Seamless mode switching with <10ms transition time
  • 🎯 Advanced Link Training: Multi-phase adaptive training (Phase 0-3) with convergence detection
  • Enhanced Equalization: LMS, RLS, CMA algorithms with multi-tap optimization
  • 📏 Multi-Lane Analysis: Up to 16-lane support with lane skew analysis and compensation
  • 👁️ Advanced Eye Diagrams: Statistical modeling with RJ/DJ/PJ jitter decomposition
  • 🧪 Comprehensive Testing: Stress testing, compliance validation, and automated workflows
  • 🔧 Intelligent Analysis: Robust signal detection with K-means clustering and fallback algorithms
  • 📊 Performance Optimization: 40% faster analysis with memory-efficient operations
  • 🛡️ Type Safety: 100% type hint coverage with runtime validation

Previous Features

  • 🔍 Mock Testing Support: Development and testing without physical hardware
  • 📡 224G Ethernet Support: Complete validation suite for 224G interfaces
  • 📊 PAM4 Analysis: Advanced PAM4 signal processing capabilities
  • 🔬 Enhanced Scope Control: High-bandwidth oscilloscope integration

🎮 Intelligent Hardware/Mock Adaptation

from serdes_validation_framework import get_instrument_controller # Auto-detects available hardware controller = get_instrument_controller() # For development/testing without hardware: os.environ['SVF_MOCK_MODE'] = '1' # For specific hardware testing: os.environ['SVF_MOCK_MODE'] = '0' # Example usage (works in both modes): controller.connect_instrument('GPIB::1::INSTR') response = controller.query_instrument('GPIB::1::INSTR', '*IDN?') print(f"Operating in {controller.get_mode()} mode") # 'mock' or 'real'

📡 224G Ethernet Validation

from serdes_validation_framework.protocols.ethernet_224g import ( Ethernet224GTestSequence, ComplianceSpecification ) # Initialize test sequence sequence = Ethernet224GTestSequence() # Run link training training_results = sequence.run_link_training_test( scope_resource="GPIB0::7::INSTR", pattern_gen_resource="GPIB0::10::INSTR" ) # Run compliance tests compliance_results = sequence.run_compliance_test_suite( scope_resource="GPIB0::7::INSTR", pattern_gen_resource="GPIB0::10::INSTR" ) print(f"Training status: {training_results.convergence_status}") print(f"Compliance status: {compliance_results.test_status}")

🔌 USB4/Thunderbolt 4 Validation

from serdes_validation_framework import ( create_validation_framework, auto_validate_signal, create_usb4_test_sequence ) from serdes_validation_framework.protocols.usb4 import ( USB4SignalMode, USB4TunnelingMode, USB4LinkState ) # Quick USB4 validation with automatic protocol detection results = auto_validate_signal( signal_data=usb4_signal_data, # Dual-lane signal data sample_rate=200e9, voltage_range=0.8, protocol_hint="usb4" ) print(f"Protocol detected: {results['protocol_type']}") print(f"Validation status: {results['validation_results'].overall_status.name}") # Advanced USB4 test sequence test_sequence = create_usb4_test_sequence(enable_thunderbolt=True) comprehensive_results = test_sequence.run_complete_sequence(usb4_signal_data) # Check tunneling validation for phase_result in comprehensive_results.phase_results: if phase_result.phase.name == 'TUNNELING': print(f"PCIe tunneling: {phase_result.metrics.get('pcie_tunnel_integrity', 'N/A')}") print(f"DisplayPort tunneling: {phase_result.metrics.get('displayport_tunnel_quality', 'N/A')}")

🚀 PCIe 6.0 Validation

from serdes_validation_framework.protocols.pcie.constants import SignalMode from serdes_validation_framework.test_sequence.pcie_sequence import ( PCIeTestSequence, PCIeTestPhase, PCIeTestResult, PCIeTestSequenceConfig, LaneConfig, create_single_lane_nrz_test, create_multi_lane_pam4_test ) # Create a PCIe 6.0 test configuration for multi-lane PAM4 config = create_multi_lane_pam4_test( num_lanes=4, sample_rate=200e9, # 200 GSa/s bandwidth=100e9, # 100 GHz voltage_range=1.2, target_ber=1e-12 ) # Create a PCIe test sequence sequence = PCIeTestSequence(config) # Run complete test sequence with all phases result = sequence.run_complete_sequence(signal_data) # Check results if result.overall_status == PCIeTestResult.PASS: print("✅ PCIe 6.0 validation passed!") print(f"Total duration: {result.total_duration:.2f} seconds") # Check individual phase results for phase_result in result.phase_results: phase_name = phase_result.phase.name status = phase_result.status.name print(f"Phase {phase_name}: {status} ({phase_result.duration:.2f}s)") # Print key metrics for metric, value in phase_result.metrics.items(): print(f" - {metric}: {value}") else: print(f"❌ PCIe 6.0 validation failed: {result.overall_status.name}") # Access lane-specific results for lane_id, lane_results in result.lane_results.items(): print(f"Lane {lane_id} SNR: {lane_results.get('snr_db', 'N/A')} dB")

📊 PAM4 Signal Analysis

from serdes_validation_framework.data_analysis import PAM4Analyzer # Initialize analyzer analyzer = PAM4Analyzer({ 'time': time_data, 'voltage': voltage_data }) # Analyze signal levels = analyzer.analyze_level_separation() evm = analyzer.calculate_evm() eye = analyzer.analyze_eye_diagram() print(f"RMS EVM: {evm.rms_evm_percent:.2f}%") print(f"Worst Eye Height: {eye.worst_eye_height:.3f}")

🔄 Automatic Mode Selection

The framework intelligently adapts between hardware and mock modes:

Mode Description Use Case
🔍 Auto Automatically detects available hardware Default behavior
🎮 Mock Simulates hardware responses Development & testing
🔧 Real Uses physical instruments Production validation

Configure via environment:

# Development without hardware export SVF_MOCK_MODE=1 # Force hardware mode export SVF_MOCK_MODE=0 # Auto-detect (default) unset SVF_MOCK_MODE

📈 Real vs Mock Data Comparison

# Mock mode provides realistic data simulation: def generate_pam4_waveform(): """Generate synthetic PAM4 data""" levels = np.array([-3.0, -1.0, 1.0, 3.0]) symbols = np.random.choice(levels, size=num_points) noise = np.random.normal(0, 0.05, num_points) return symbols + noise # Auto-switching between real/mock: def capture_waveform(scope): """Capture waveform data""" if scope.controller.get_mode() == 'mock': return generate_pam4_waveform() else: return scope.query_waveform()

🚀 Quick Start

Prerequisites

  • Python 3.9+ (recommended 3.10)
  • Git
  • VISA Library (optional, for hardware control)

Installation

Option 1: Install from PyPI (Recommended)

# Install latest stable version pip install serdes-validation-framework # Install specific version pip install serdes-validation-framework==1.4.0

Option 2: Install from Source

# Clone repository git clone https://github.com/muditbhargava66/serdes-validation-framework.git cd serdes-validation-framework # Create virtual environment (recommended) python -m venv venv source venv/bin/activate # Windows: venv\Scripts\activate # Install in development mode pip install -e . # Or install dependencies manually pip install -r requirements.txt

Verify Installation

python -c "from serdes_validation_framework import __version__; print(f'SerDes Framework v{__version__}')"

Basic Usage

Quick Start with Automatic Validation

from serdes_validation_framework import auto_validate_signal import numpy as np # Generate or load your signal data signal_data = { 0: {'voltage': np.random.randn(1000), 'time': np.linspace(0, 1e-6, 1000)}, 1: {'voltage': np.random.randn(1000), 'time': np.linspace(0, 1e-6, 1000)} } # Automatic protocol detection and validation results = auto_validate_signal( signal_data=signal_data, sample_rate=200e9, voltage_range=0.8, protocol_hint="usb4" # Optional hint ) print(f"Detected Protocol: {results['protocol_type']}") print(f"Validation Status: {results['status']}")

Advanced Visualization

from serdes_validation_framework.visualization import USB4Visualizer # Create visualizer viz = USB4Visualizer() # Generate professional eye diagram with measurements eye_result = viz.plot_eye_diagram( signal_data, show_measurements=True, filename='usb4_eye_diagram.png' ) # Create interactive dashboard dashboard_result = viz.create_interactive_dashboard( test_results, filename='usb4_dashboard.html' ) # Analyze tunnel bandwidth bandwidth_result = viz.plot_tunnel_bandwidth( bandwidth_data, filename='tunnel_analysis.png' )

Loopback Stress Testing (NEW in v1.4.1)

from serdes_validation_framework.stress_testing import LoopbackStressTest, create_stress_test_config # Create stress test configuration config = create_stress_test_config( protocol="USB4", num_cycles=1000, output_dir="usb4_stress_results" ) # Run stress test stress_test = LoopbackStressTest(config) results = stress_test.run_stress_test() # Analyze results print(f"Success Rate: {results.success_rate:.1%}") print(f"Max Degradation: {results.max_degradation:.1f}%") print(f"Final Eye Height: {results.final_eye_height:.4f}V") # Results automatically saved to CSV and plots generated

Traditional Test Sequencer

from serdes_validation_framework.test_sequence import PCIeTestSequencer from serdes_validation_framework.protocols.pcie import SignalMode # Initialize PCIe test sequencer (auto-detects mock/real mode) sequencer = PCIeTestSequencer() # Connect to instruments sequencer.setup_instruments([ 'GPIB::1::INSTR', # Oscilloscope 'GPIB::2::INSTR' # Pattern generator ]) # Run a simple test sequence results = sequencer.run_sequence([ {'command': 'configure_scope', 'params': {'bandwidth': 100e9}}, {'command': 'capture_data', 'params': {'duration': 1.0}}, {'command': 'analyze_signal', 'params': {'mode': SignalMode.PAM4}} ]) print(f"Test completed: {results['status']}")

REST API Usage (NEW in v1.4.1)

# Start the API server from serdes_validation_framework.api import create_app import uvicorn app = create_app() uvicorn.run(app, host="0.0.0.0", port=8000) # Or use the CLI # python -m serdes_validation_framework.api.cli server --host 0.0.0.0 --port 8000
# Use the API client import requests import numpy as np # Analyze eye diagram via API signal_data = np.random.randn(1000) * 0.4 response = requests.post("http://localhost:8000/api/v1/eye-diagram/analyze", json={ "signal_data": signal_data.tolist(), "sample_rate": 40e9, "protocol": "USB4", "show_mask": True }) result = response.json() print(f"Eye Height: {result['eye_height']:.4f}V") print(f"Q-Factor: {result['q_factor']:.2f}") print(f"Mask Compliance: {result['mask_analysis']['compliance_level']}") # Start stress test asynchronously stress_response = requests.post("http://localhost:8000/api/v1/stress-test/start", json={ "protocol": "USB4", "num_cycles": 100, "cycle_duration": 1.0 }) test_id = stress_response.json()["test_id"] # Monitor test progress status_response = requests.get(f"http://localhost:8000/api/v1/test/{test_id}/status") print(f"Test Status: {status_response.json()['status']}")
# Use the CLI client python -m serdes_validation_framework.api.cli analyze-eye \ --signal-file signal_data.csv \ --protocol USB4 \ --sample-rate 40e9 \ --output results.json python -m serdes_validation_framework.api.cli start-stress-test \ --protocol PCIe \ --cycles 500 \ --duration 2.0

📁 Examples & Scripts

🎯 Interactive Examples

Explore comprehensive examples with our interactive menu system:

# Launch interactive example browser python examples/example_index.py

Available Examples:

  • USB4/Thunderbolt 4: Complete validation suite with certification testing
  • PCIe 6.0: NRZ/PAM4 dual-mode validation with multi-lane support
  • 224G Ethernet: High-speed Ethernet validation and analysis
  • Multi-Protocol: Cross-protocol comparison and unified validation
  • Signal Analysis: Advanced PAM4 analysis and jitter decomposition

🚀 Production Scripts

Ready-to-use validation scripts for production environments:

# Complete PCIe validation python scripts/pcie_validation.py --mode both --lanes 4 --benchmark # USB4/Thunderbolt 4 validation python scripts/usb4_validation.py --mode both --certification --benchmark # Multi-protocol validation python scripts/multi_protocol_validation.py --protocols all --compare # 224G Ethernet validation python scripts/eth_224g_validation.py --compliance --benchmark

Script Features:

  • CLI Interfaces: Full command-line argument support
  • Mock Mode: Development without hardware
  • Benchmarking: Performance measurement capabilities
  • Reporting: Multiple output formats (JSON, CSV, HTML)
  • CI/CD Ready: Automated testing integration

🛠️ Development

Setup Development Environment

# Install dev dependencies pip install -r requirements-dev.txt # Run tests python -m unittest discover -s tests # Run linter ruff check src tests # Test all Python versions tox

Mock Testing

Enable mock mode for development without hardware:

# Enable mock mode export SVF_MOCK_MODE=1 # Run examples python examples/mock_testing_example.py

📊 Performance Benchmarks

Operation Performance Improvement
� Signpal Analysis <1s for 10K samples 40% faster
� Maode Switching <10ms NRZ↔PAM4 Real-time
🎯 Link Training <5s convergence Optimized
✅ Compliance Testing <3s full suite Comprehensive
� ️ Eye Diagram Analysis <2s complete Enhanced
� Multii-lane Processing Linear scaling Up to 16 lanes

🔧 Feature Comparison

Feature Mock Mode Hardware Mode PCIe 6.0 Support
🚀 Setup Speed Instant Requires calibration ✅ Full
📊 Data Quality Simulated Real measurements ✅ 64 GT/s
🔄 Mode Support NRZ/PAM4 NRZ/PAM4 ✅ Dual-mode
📈 Analysis All features All features ✅ Advanced
🕒 Execution Time Fast Hardware-dependent ✅ Optimized
🔧 Requirements None VISA, hardware ✅ Compatible

📚 Documentation

Getting Started

API Reference

Guides & Tutorials

Development Setup

  1. Install development dependencies:

    pip install -r requirements-dev.txt
  2. Run tests:

    python -m unittest discover -s tests
  3. Run linter:

    ruff check src tests
  4. Run Tox for testing across multiple environments:

    tox

Project Structure

serdes-validation-framework/ ├── .github/ # [Existing] GitHub specific files ├── docs/ │ ├── api/ │ │ ├── index.md │ │ ├── usage.md │ │ ├── eth_224g.md # [New] 224G Ethernet API documentation │ │ └── pam4_analysis.md # [New] PAM4 analysis documentation │ ├── images/ │ ├── tutorials/ │ │ ├── getting_started.md │ │ ├── 224g_validation.md # [New] 224G validation tutorial │ │ └── pam4_analysis.md # [New] PAM4 analysis tutorial │ ├── CONTRIBUTING.md │ ├── INSTALL.md │ └── USAGE.md ├── examples/ │ ├── test_sequence_example.py │ ├── data_analysis_example.py │ ├── pcie_6_validation_example.py # [New] PCIe 6.0 validation example │ ├── dual_mode_example.py # [New] NRZ/PAM4 mode switching │ ├── link_training_example.py # [New] Link training example │ ├── eth_224g_example.py # [Existing] 224G testing example │ └── pam4_analysis_example.py # [Existing] PAM4 analysis example ├── scripts/ │ ├── data_collection.py │ ├── data_analysis.py │ ├── instrument_control.py │ ├── test_sequence.py │ └── eth_224g_validation.py # [New] 224G validation script ├── src/ │ └── serdes_validation_framework/ │ ├── __init__.py │ ├── data_collection/ # [Existing] Base data collection │ │ ├── __init__.py │ │ └── data_collector.py │ ├── data_analysis/ │ │ ├── __init__.py │ │ ├── analyzer.py │ │ └── pam4_analyzer.py # [New] PAM4 signal analysis │ ├── instrument_control/ │ │ ├── __init__.py │ │ ├── controller.py │ │ ├── mock_controller.py │ │ └── scope_224g.py # [New] High-bandwidth scope control │ ├── test_sequence/ │ │ ├── __init__.py │ │ ├── sequencer.py # [Updated] PCIeTestSequencer │ │ ├── pcie_sequence.py # [New] PCIe 6.0 test sequences │ │ ├── dual_mode_sequence.py # [New] Dual-mode test sequences │ │ └── eth_224g_sequence.py # [Existing] 224G test sequences │ └── protocols/ # [Expanded] Protocol-specific modules │ ├── __init__.py │ ├── pcie/ # [New] PCIe 6.0 protocol support │ │ ├── __init__.py │ │ ├── constants.py # PCIe constants and enums │ │ ├── compliance.py # PCIe compliance testing │ │ ├── link_training.py # Advanced link training │ │ ├── equalization.py # Equalization algorithms │ │ └── dual_mode/ # NRZ/PAM4 dual-mode support │ │ ├── __init__.py │ │ ├── mode_control.py │ │ ├── nrz_training.py │ │ └── pam4_training.py │ └── ethernet_224g/ # [Existing] 224G Ethernet │ ├── __init__.py │ ├── constants.py # Protocol constants │ ├── compliance.py # Compliance specifications │ └── training.py # Link training patterns ├── tests/ │ ├── test_data_collection.py │ ├── test_data_analysis.py │ ├── test_instrument_control.py │ ├── test_test_sequence.py # [Updated] PCIeTestSequencer tests │ ├── test_pcie_sequence.py # [New] PCIe 6.0 sequence tests │ ├── test_pcie_analyzer.py # [New] PCIe analyzer tests │ ├── test_dual_mode.py # [New] Dual-mode tests │ ├── test_pcie_integration.py # [New] PCIe integration tests │ ├── test_nrz_analyzer.py # [New] NRZ analyzer tests │ ├── test_pam4_analyzer.py # [Existing] PAM4 analyzer tests │ ├── test_eth_224g_sequence.py # [Existing] 224G sequence tests │ └── test_scope_224g.py # [Existing] Scope control tests ├── .gitignore ├── LICENSE ├── README.md # [Update] Add 224G features ├── requirements.txt # [Update] Add new dependencies ├── setup.py # [Update] Add new modules ├── CHANGELOG.md └── tox.ini 

🤝 Contributing

We welcome contributions! See our Contributing Guide for details on:

  • Code Style
  • Development Process
  • Submission Guidelines
  • Testing Requirements

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📫 Contact: @muditbhargava66 🐛 Report Issues: Issue Tracker

© 2025 Mudit Bhargava. MIT License

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SerDes validation framework with advanced visualization, multi-protocol support (USB4, PCIe, Ethernet), and interactive dashboards. Production-ready platform for high-speed signal analysis and compliance testing. Open-source alternative to commercial validation tools.

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