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The fastest Go math library for constrained environments, like microcontrollers or WebAssembly.

• Optimizes for performance and small code size at the cost of precision.
• Uses float32 because most microcontrollers (like ESP32) have much faster computation for float32 than for float64.
• Designed and tested to work with both Go and TinyGo, hence the name.
• Most algorithms are ported from micromath Rust library.
• Zero dependency.

go get github.com/orsinium-labs/tinymath

fmt.Println(tinymath.Sin(tinymath.Pi))

Here is a comparison of WebAssembly binary size (built with TinyGo) when using tinymath vs stdlib math:

To reproduce: python3 size_bench.py