Jounce/Surge

Health v2 · maintenance only

Adoption not part of the score

5325 stars · 475 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Surge is a Swift library that wraps Apple's Accelerate framework to expose high-performance SIMD-accelerated functions for matrix math, digital signal processing, and image manipulation. It makes Accelerate's obscure APIs accessible with simple, ergonomic Swift calls over arrays of numbers.

Use cases

• perform fast matrix arithmetic in Swift
• run FFT and DSP operations on audio signals
• accelerate convolution and trigonometric computations over arrays
• speed up image manipulation on Apple platforms
• replace slow loops with SIMD-accelerated vector math

When to choose

• you're on Apple platforms (macOS/iOS) writing Swift and need fast numeric computation
• you want Accelerate's SIMD performance without dealing with its C APIs
• you process large arrays for signal processing or linear algebra

When to avoid

• you're not on Apple platforms, since Accelerate is Apple-only
• your datasets are small, where Accelerate overhead can make it slower than plain loops
• you need GPU or cross-platform (Linux/Windows) acceleration

Facets

library · maturity maintenance

math image-processing audio-processing mathematics performance accelerate simd dsp fft matrix-math convolution trigonometry apple-platforms algorithms macos ios swift

Member repositories

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markdown · JSON · MCP: product_card(name="Jounce/Surge")