{"library":"numpy-minmax","title":"NumPy MinMax","description":"numpy-minmax is a fast Python library designed to efficiently find both the minimum and maximum values within a NumPy array. It achieves significant speedups (roughly 2.3x faster than calling `numpy.amin` and `numpy.amax` separately) by leveraging C implementations and SIMD instructions (AVX/AVX512). The library is actively maintained with frequent releases, with version 0.5.0 being the latest stable release as of June 2025.","language":"python","status":"active","last_verified":"Fri May 15","install":{"commands":["pip install numpy-minmax"],"cli":null},"imports":["from numpy_minmax import minmax"],"auth":{"required":false,"env_vars":[]},"quickstart":{"code":"import numpy as np\nfrom numpy_minmax import minmax\n\narr = np.arange(1337, dtype=np.float32)\nmin_val, max_val = minmax(arr)\n\nprint(f\"Min value: {min_val}\")\nprint(f\"Max value: {max_val}\")\n# Expected output: Min value: 0.0, Max value: 1336.0","lang":"python","description":"Initialize a NumPy array and use `numpy_minmax.minmax()` to quickly get both the minimum and maximum values. The function returns a tuple `(min_value, max_value)`.","tag":null,"tag_description":null,"last_tested":null,"results":[]},"compatibility":{"tag":null,"tag_description":null,"last_tested":"2026-05-15","installed_version":"0.5.0","pypi_latest":"0.5.0","is_stale":false,"summary":{"python_range":"3.10–3.9","success_rate":80,"avg_install_s":3.9,"avg_import_s":0.27,"wheel_type":"wheel"},"results":[{"runtime":"python:3.10-alpine","python_version":"3.10","os_libc":"alpine (musl)","variant":"numpy-minmax","exit_code":1,"wheel_type":null,"failure_reason":"build_error","import_side_effects":null,"install_time_s":null,"import_time_s":null,"mem_mb":null,"disk_size":null},{"runtime":"python:3.10-slim","python_version":"3.10","os_libc":"slim (glibc)","variant":"numpy-minmax","exit_code":1,"wheel_type":null,"failure_reason":"build_error","import_side_effects":null,"install_time_s":4.8,"import_time_s":null,"mem_mb":null,"disk_size":null},{"runtime":"python:3.11-alpine","python_version":"3.11","os_libc":"alpine (musl)","variant":"numpy-minmax","exit_code":0,"wheel_type":"wheel","failure_reason":null,"import_side_effects":"clean","install_time_s":null,"import_time_s":0.29,"mem_mb":7.2,"disk_size":"98.7M"},{"runtime":"python:3.11-slim","python_version":"3.11","os_libc":"slim (glibc)","variant":"numpy-minmax","exit_code":0,"wheel_type":"wheel","failure_reason":null,"import_side_effects":"clean","install_time_s":3.7,"import_time_s":0.31,"mem_mb":7.2,"disk_size":"94M"},{"runtime":"python:3.12-alpine","python_version":"3.12","os_libc":"alpine (musl)","variant":"numpy-minmax","exit_code":0,"wheel_type":"wheel","failure_reason":null,"import_side_effects":"clean","install_time_s":null,"import_time_s":0.29,"mem_mb":7,"disk_size":"87.0M"},{"runtime":"python:3.12-slim","python_version":"3.12","os_libc":"slim (glibc)","variant":"numpy-minmax","exit_code":0,"wheel_type":"wheel","failure_reason":null,"import_side_effects":"clean","install_time_s":3.6,"import_time_s":0.32,"mem_mb":7,"disk_size":"83M"},{"runtime":"python:3.13-alpine","python_version":"3.13","os_libc":"alpine (musl)","variant":"numpy-minmax","exit_code":0,"wheel_type":"wheel","failure_reason":null,"import_side_effects":"clean","install_time_s":null,"import_time_s":0.22,"mem_mb":7.6,"disk_size":"86.6M"},{"runtime":"python:3.13-slim","python_version":"3.13","os_libc":"slim (glibc)","variant":"numpy-minmax","exit_code":0,"wheel_type":"wheel","failure_reason":null,"import_side_effects":"clean","install_time_s":3.6,"import_time_s":0.28,"mem_mb":7.6,"disk_size":"82M"},{"runtime":"python:3.9-alpine","python_version":"3.9","os_libc":"alpine (musl)","variant":"numpy-minmax","exit_code":0,"wheel_type":"wheel","failure_reason":null,"import_side_effects":"clean","install_time_s":null,"import_time_s":0.2,"mem_mb":6.5,"disk_size":"99.4M"},{"runtime":"python:3.9-slim","python_version":"3.9","os_libc":"slim (glibc)","variant":"numpy-minmax","exit_code":0,"wheel_type":"wheel","failure_reason":null,"import_side_effects":"clean","install_time_s":4.6,"import_time_s":0.21,"mem_mb":6.5,"disk_size":"98M"}]}}