Xyscope
C 64 completed
Other
containerized / objective-cpp · tiny
16
Files
3,191
LOC
0
Frameworks
5
Languages
Pipeline State
completedRun ID
#1273342Phase
doneProgress
0%Started
2026-04-15 21:26:15Finished
2026-04-15 21:26:15LLM tokens
0Pipeline Metadata
Stage
CatalogedDecision
proceedNovelty
47.70Framework unique
—Isolation
—Last stage change
2026-05-10 03:35:34Deduplication group #65196
Member of a group with 1 similar repo(s) — this repo is canonical view group →
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AI Prompt
Create a full-featured, real-time audio visualizer similar to XYScope. It needs to visualize stereo audio by rendering Lissajous curves using OpenGL. The application must support capturing system audio on macOS (using CoreAudio/BlackHole), Linux (via Pipewire), and Windows (using WASAPI loopback). Include five display modes: Standard, Radius, Length, Frequency, and Time. For the Frequency Mode, implement STFT-based spectral analysis coloring. The project should be built using C++ and utilize CMake for cross-platform compilation, ideally containerized via Docker for building on Linux.
c++ opengl audio-visualization real-time cmake macos linux windows containerization
Generated by gemma4:latest
Catalog Information
Create a full-featured, real-time audio visualizer similar to XYScope. It needs to visualize stereo audio by rendering Lissajous curves using OpenGL. The application must support capturing system audio on macOS (using CoreAudio/BlackHole), Linux (via Pipewire), and Windows (using WASAPI loopback). Include five display modes: Standard, Radius, Length, Frequency, and Time. For the Frequency Mode, implement STFT-based spectral analysis coloring. The project should be built using C++ and utilize CMa
Tags
c++ opengl audio-visualization real-time cmake macos linux windows containerization
Quality Score
C
63.7/100
Structure
44
Code Quality
100
Documentation
55
Testing
0
Practices
78
Security
100
Dependencies
70
Strengths
- Low average code complexity — well-structured code
- Good security practices — no major issues detected
- Containerized deployment (Docker)
- Properly licensed project
Weaknesses
- No tests found — high risk of regressions
- No CI/CD configuration — manual testing and deployment
- 1 'god files' with >500 LOC need decomposition
Recommendations
- Add a test suite — start with critical path integration tests
- Set up CI/CD (GitHub Actions recommended) to automate testing and deployment
- Add a linter configuration to enforce code style consistency
Languages
Frameworks
None detected
Symbols
macro9
function5
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