{"library":"numpy-rms","type":"library","category":null,"description":"numpy-rms is a fast Python library designed for calculating the Root Mean Square (RMS) of NumPy arrays. It leverages C implementations with SIMD acceleration (AVX on x86-64, NEON on ARM) to provide significant performance benefits, especially for 1-dimensional and 2-dimensional C-contiguous float32 arrays. The current version is 0.6.0, with a fairly active release cadence.","language":"python","status":"active","version":"0.6.0","tags":["numpy","rms","signal processing","performance","SIMD","audio"],"install":[{"cmd":"pip install numpy-rms","imports":["from numpy_rms import rms","from numpy_rms import NDArray","from numpy_rms import np"]}],"homepage":null,"github":"https://github.com/nomonosound/numpy-rms","docs":null,"changelog":null,"pypi":"https://pypi.org/project/numpy-rms/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":100,"avg_install_s":3.9,"avg_import_s":0.25,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/numpy-rms/compatibility"},"provenance":{"verified_status":"passing","verified_at":"Fri Jul 03","last_verified":"Fri Jul 03","next_check":"Sun Aug 02","install_tag":null}}