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Copy file name to clipboardExpand all lines: README.md
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@@ -9,7 +9,7 @@ The rare few that support minimal mixed precision, run only on one platform, and
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SimSIMD provides an alternative.
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1️⃣ SimSIMD functions are practically as fast as `memcpy`.
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2️⃣ Unlike BLAS, most kernels are designed for mixed-precision and bit-level operations.
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3️⃣ SimSIMD [compiles to more platforms than NumPy (105 vs 35)][compatibility] and has more backends than most BLAS implementations, and more high-level interfaces than most libraries.
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3️⃣ SimSIMD often [ships more binaries than NumPy][compatibility] and has more backends than most BLAS implementations, and more high-level interfaces than most libraries.
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