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🌊 songsee — FFT so pretty, your ears will be jealous. Features 9 visualization modes: spectrogram, mel, chroma, hpss, selfsim, loudness, tempogram, mfcc, flux 6 color palettes: classic, magma, inferno, viridis, gray, claw Auto-contrast: per-panel percentile normalization for readable heatmaps Combine modes: stack multiple visualizations in one grid image Universal input: WAV, MP3, or anything ffmpeg can handle Fast: native Go, no Python dependencies Flexible output: PNG or JPEG, customizable dimensions Install Docker: The image includes , so batch and server runs do not depend on host audio tooling. Quick Start Visualization Modes Perceptual frequency
| Stars | 55 |
| Forks | 3 |
| Language | Go |
| Category | AI Tool |
| License | MIT |
| Quality Score | 70.2578815380107/100 |
| Open Issues | 1 |
| Last Updated | 2026-05-04 |
| Created | 2026-01-02 |
| Platforms | go |
| Est. Tokens | ~181k |
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songsee is 🌊 FFT so pretty, your ears will be jealous. See your sound—spectrograms, mel, chroma, and more.. It is categorized as a AI Tool with 55 GitHub stars.
songsee is primarily written in Go. It covers topics such as agents, music, visualization.
You can find installation instructions and usage details in the songsee GitHub repository at github.com/steipete/songsee. The project has 55 stars and 3 forks, indicating an active community.
songsee is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to songsee on Agent Skills Hub include oreilly-ai-agents, melrose, claude-code-teams-mcp. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.