Pyspectrum

Overview

The Python/webUI RF spectrum analyser is an innovative tool designed to simplify the process of analyzing radio frequencies through a web-based interface. Originally an exercise in Python programming, it has evolved into a practical application that allows users to visualize and measure various signals. With its roots in software-defined radio (SDR) technology, this analyser can cater to both amateurs and enthusiasts who want to explore the intricacies of RF signals.

While the spectrum analyser performs its intended functions, it's essential to note that its performance might fluctuate based on the user's hardware and the libraries utilized for FFT computations. This software provides a unique opportunity to get insights into spectrum analysis with an engaging and interactive user interface, but it is important to approach it with the understanding that it may not be 100% reliable.

Features

• Python Processing: Leverages powerful Python libraries for signal processing, though performance may vary based on the underlying hardware.
• Web JavaScript UI: Offers an intuitive web-based interface for easily taking measurements and interacting with the spectrum.
• Compatibility with Multiple SDRs: Supports various SDR devices including rtlsdr, pluto, funcube, sdrplay, and more, allowing for versatile input sources.
• Spectrum Analysis at Sample Rate: Analyzes spectra directly at the sample rate, making it useful for detecting brief bursts of signals.
• Plugin Architecture: Enables customizable sources and analysis methods for the spectra, catering to different user needs.
• Manual Snapshot Feature: Users can trigger snapshots of the spectrum upon events for further analysis.
• No Client Required: Processing continues effectively even without a web client attached, enhancing the tool's usability.
• Resource Monitoring: Features like “loop %” help users monitor performance and determine if there are any processing issues.