Factual package intelligence from PyPI
ncnn is a high-performance neural network inference framework optimized for the mobile platform
pip install ncnn
PyPI declares 5 unique dependency rules for this release. Environment markers are shown when supplied by the project.
ncnn publishes 108 wheels and 1 source archive for version 1.0.20260526. Wheel platform tags: macosx_11_0_arm64, macosx_11_0_x86_64, manylinux_2_24_aarch64.manylinux_2_28_aarch64, manylinux_2_24_i686.manylinux_2_28_i686, manylinux_2_24_x86_64.manylinux_2_28_x86_64, manylinux_2_31_armv7l, manylinux_2_39_riscv64, musllinux_1_2_aarch64, musllinux_1_2_armv7l, musllinux_1_2_i686, musllinux_1_2_riscv64, musllinux_1_2_x86_64, win32, win_amd64, win_arm64.
Declared Python classifiers: 3.10, 3.11, 3.12, 3.13, 3.14, 3.6, 3.7, 3.8, 3.9.
PyPI lists 32 releases with files. The first dated release is ; 3 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .