Cross-Platform Software-Defined Radio Application
spectrum-analyzer 开源项目推荐(451 个)
spectrum-analyzer 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 451 个仓库适用于多个SDR平台的频谱分析仪(基于PyQtShape的图形用户界面,用于sooperate_power、hackref_sweep、rtl_power、RST_power和其他后台)
使用HTML5音频API构建的音频频谱可视化工具
Real-time audio visualizations (spectrum, spectrogram, etc.)
无依赖的高分辨率实时图形音频频谱分析仪 JavaScript 模块。
🎧 🎼 The MOST ADVANCED JavaFX Media Player
Free SDR receiver for macOS, Windows and Linux: digital TV (DVB-T/T2, DVB-C, DVB-S/S2, ATSC, ISDB-T, DTMB), DAB+, FM, DRM, aviation (ADS-B, ACARS, VDL2), satellites, GNSS, ham modes (FT8, PSK31, CW), digital voice, cell towers and a spectrum analyser. HackRF, RTL-SDR, Airspy, SDRplay, BladeRF, LimeSDR, Pluto, USRP.
A cross platform Python frequency scanning GUI for the OsmoSDR rtl-sdr library
媒体播放器和实时音频频谱分析仪,均用JavaScript编写。
A series of Jupyter notebooks and python files which stream audio from a microphone using pyaudio, then processes it.
PandwaRF: RF analysis tool with a sub-1 GHz wireless transceiver controlled by a smartphone or
An Audio Visualizer Widget in KDE Plasma
An Arduino based music visualizer using the FastLED library and a strip of individually addressable LEDs
Obtain power spectrum from SoapySDR devices (RTL-SDR, Airspy, SDRplay, HackRF, bladeRF, USRP, LimeSDR, etc.)
Blender Python script for audio visualisation
A real-time spectrum analysis VST plugin
Libvisual Audio Visualization
🎵 SDR++CE Community Edition - Advanced SDR software with MPX analysis, cross-platform support for RTL-SDR, HackRF, LimeSDR, AirSpy, PlutoSDR and more. Features real-time FM broadcasting analysis, frequency scanning, and spectrum visualization.
html5 audio visualizer with audio play controls
A simple CUDA FFT spectrum tool
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/spectrum-analyzer。
- 该话题在 GitHub 上共有 451 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 1.2 万 Star,覆盖 7 种主要语言,数据更新于 2026-11-07。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。