RFSwift_QuickRun2026.mp4
RF Swift is a revolutionary toolbox that transforms any computer into a powerful RF testing laboratory without requiring a dedicated operating system. 🔄 Unlike traditional approaches that force you to sacrifice your primary OS, RF Swift brings containerized RF tools to your existing environment. 🏠
| Feature | RF Swift | Dedicated OS |
|---|---|---|
| 🏠 Host OS Preservation | ✅ Keep your existing OS | ❌ Requires dedicated partition or VM |
| 🛡️ Tool Isolation | ✅ Tools contained without system impact | ❌ Tools can destabilize system |
| ⚡ Deployment Speed | ✅ Seconds to deploy | ❌ Hours for full installation |
| 💾 Disk Space | ✅ Only install tools you need | ❌ Requires 20-50GB minimum |
| 🔄 Updates | ✅ Update individual tools without risk | ❌ System-wide updates can break functionality |
| 🌐 Multi-architecture | ✅ x86_64, ARM64, RISCV64 and more! | ❌ Limited architecture support |
| 🔁 Reproducibility | ✅ Identical environments everywhere | ❌ System drift between other installations |
| 💼 Work Environment | ✅ Use alongside productivity tools | ❌ Switch contexts between systems |
| 📹 Session Recording | ✅ Built-in recording for documentation | ❌ Manual setup required |
| 🎨 Easy Customization | ✅ Simple YAML recipes for custom images | ❌ Complex OS modifications |
- 🏠 Non-disruptive Integration: Run specialized RF tools while continuing to use your preferred OS for daily work
- 🧩 Modular Tool Selection: Deploy only the tools you need, when you need them
- 🛡️ Containerized Isolation: Prevent RF tools from affecting system stability or security
- 🌍 Cross-platform Compatibility: Works seamlessly on Linux, Windows, and macOS
- 🔌 Dynamic Hardware Integration: Connect and disconnect USB devices without restarting
- ⚡ GPU Acceleration: Dedicated images with OpenCL support for Intel and NVIDIA GPUs
- 💾 Space Efficiency: Use a fraction of the disk space required by dedicated OS solutions
rfswiftdemo.mp4
rfswift-demo-gqrxonwindows.mp4
RF Swift's container approach allows for specialized environments optimized for specific tasks:
| Category | Images | Description |
|---|---|---|
| 📻 SDR | sdr_light, sdr_full |
Software-defined radio tools (RTL-SDR, HackRF, etc.) |
| 📱 Telecom | telecom_utils, telecom_2Gto3G, telecom_4G_5GNSA, telecom_5G |
Mobile network analysis and testing |
| 📶 Short-range | bluetooth, wifi, rfid |
Bluetooth, Wi-Fi, and RFID security tools |
| 🔧 Hardware | hardware, reversing |
Hardware hacking and reverse engineering |
| 🚗 Automotive | automotive |
Vehicle communication protocols (CAN, LIN, etc.) |
Full image list with detailed tool inventory available at rfswift.io/docs/guide/list-of-images/
- 🧰 Rapid Assessment Deployment: Deploy a complete RF lab at client sites in minutes
- 🔄 Consistent Environments: Eliminate "works on my machine" issues
- ⚙️ Parallel Testing: Run multiple isolated assessments simultaneously
- 📹 Documentation: Built-in session recording for client reports
- 🛠️ Custom Toolsets: Create specialized containers for specific engagements
- 📊 Reproducible Research: Share exact tool environments with papers
- 🧪 Experiment Isolation: Keep experimental configurations separate
- 🌐 Multi-platform Collaboration: Work across Linux, Windows, and macOS
- 🔢 Version Control: Test with specific tool versions for reproducibility
- ⚡ Resource Optimization: Allocate resources based on research needs
- 🏫 Classroom Deployment: Identical environments for all students
- 💻 No OS Reinstall: Students keep their existing operating systems
- 🖥️ Low Requirements: Works on standard lab computers
- 📚 Focused Learning: Custom containers for specific lessons
- 🔄 Quick Reset: Easily reset environments between classes
- 🔍 Production Testing: Consistent RF testing environments
- 📡 Device Validation: Test wireless product compliance
- 🔧 Firmware Analysis: Isolated environments for firmware testing
- 📊 Quality Assurance: Reproducible test configurations
Comprehensive documentation is available at rfswift.io, including:
- 🚀 Getting Started Guide
- 🏁 Quick Start Tutorial
- 📘 User Guide
- 📝 YAML Recipe Guide
- 👨💻 Development Documentation
- 🧰 List of Included Tools
- 🛡️ Security Guidelines
RF Swift is used in professional training courses by Penthertz:
- 📻 Software Defined Radio assessments
- 📱 Mobile network security testing
- 🚗 Automotive security analysis
- 🏭 IoT and embedded device testing
Contact us for custom training programs.
- 💬 Join our Discord for community support and discussions
- 🐛 Report issues on GitHub
- 💡 Request features via GitHub Discussions
- 🐦 Follow us on X (Twitter): @FlUxIuS and @Penthertz
- 📧 Professional inquiries: penthertz.com
We welcome contributions! Here's how you can help:
- 🧰 Tool Integration: Add new tools or improve existing ones
- 🐞 Bug Fixes: Submit PRs to fix reported issues
- ✨ New Features: Implement new capabilities
- 📝 Documentation: Improve guides and examples
- 📝 YAML Recipes: Share your custom image recipes
- 🎓 Tutorials: Create guides for specific tools or workflows
- 🐛 Bug Reports: Report issues you encounter
- 💡 Feature Requests: Suggest improvements
- Fork the repository
- Create a feature branch (
git checkout -b feature/amazing-feature) - Commit your changes (
git commit -m 'Add amazing feature') - Push to the branch (
git push origin feature/amazing-feature) - Open a Pull Request
RF Swift is released under the GNU General Public License v3.0. See LICENSE file for details.
Special thanks to:
- All contributors and clients who have helped improve RF Swift
- The open-source RF and security tool developers whose work we integrate
- The community for feedback, bug reports, and feature requests
- Conference organizers who have hosted our presentations