Frequency Signal Processing Software

I’m building a piece of software whose sole focus is signal processing and I need a developer who can take it from concept to a clean, working application. The core of the job is to create routines that can ingest raw signals, run frequency-domain analysis (FFT, filtering, spectral visualisation, etc.), and output both numeric data and easy-to-read plots in real time. I haven’t locked the project to a single operating system, so if you prefer to target Windows, macOS or Linux, let me know which toolchain and libraries you’d use and why. The interface should remain lightweight—think Python with PyQt or C++ with a minimal GUI layer—but I’m open to alternatives if they deliver reliable performance. Deliverables: • Complete, well-structured source code with inline comments • Cross-compiled or natively built executable • Short user guide covering installation, main features and examples • Brief developer notes outlining build steps and key architectural choices Acceptance criteria: • Accurate frequency analysis on supplied test signals (I’ll provide WAV and CSV samples) • Real-time display updates under 10 ms latency on a mid-range laptop • No external dependencies beyond those documented in the guide If this sounds like your kind of challenge, tell me which language, libraries or frameworks you propose to use and share a quick example of a similar signal-processing task you’ve handled before.