Arm
company · United KingdomScores
1 product on the map — 1 open.
Openness
5 high confidence- license
- MIT(OSI)
- source
- public
- core features withheld
- no
The LICENSE file and the README both state the MIT license. The repository is public and the README describes no paid tier, enterprise edition or license-gated build, so the core is ungated.
- https://raw.githubusercontent.com/ARM-software/ComputeLibrary/main/LICENSES/MIT.txt recorded 2026-09-30
LICENSES/MIT.txt holds the verbatim MIT text, opening with "MIT License" and "Permission is hereby granted, free of charge, to any person obtaining a copy of this software".
- https://raw.githubusercontent.com/ARM-software/ComputeLibrary/main/README.md recorded 2026-09-30
README states "Open source software available under a permissive MIT license" and "The software is provided under MIT license. Contributions to this project are accepted under the same license." It offers "Pre-built binaries" for download beside the source. Searched the body for enterprise, license key, paid, commercial, proprietary and subscription: none.
- https://raw.githubusercontent.com/ARM-software/ComputeLibrary/main/REUSE.toml recorded 2026-09-30
REUSE.toml opens with "SPDX-License-Identifier: MIT" and "SPDX-FileCopyrightText: 2024-2026 Arm Limited", the REUSE declaration that MIT governs the repository files it annotates.
Adoption
2 low confidenceArm Compute Library ships as source and prebuilt binaries rather than through a package registry, so GitHub stars are the only adoption signal available. A star is not a use.
- https://api.github.com/repos/ARM-software/ComputeLibrary recorded 2026-08-18
Repo metadata - stargazers_count = 3,181 - for ARM-software/ComputeLibrary.
Capability
4 medium confidenceArm Compute Library provides hand-optimized NEON and OpenCL kernels for machine-learning operators, mainly across Arm's own Cortex-A, Neoverse and Mali hardware, with x86 also listed. OpenVINO declares it as a submodule and oneDNN can be built against it on Arm CPUs, which places it one step below Apache TVM.
- https://raw.githubusercontent.com/ARM-software/ComputeLibrary/main/docs/user_guide/introduction.dox recorded 2026-09-30
Introduction says "The Compute Library is a collection of low-level machine learning functions optimized for both Arm CPUs and GPUs using SIMD technologies." with builds for "Arm® Neon™ / OpenCL / Arm® Neon™ and OpenCL".
- https://raw.githubusercontent.com/ARM-software/ComputeLibrary/main/README.md recorded 2026-09-30
README describes "a collection of low-level machine learning functions optimized for Arm® Cortex®-A, Arm® Neoverse™ and Arm® Mali™ GPUs architectures." with "Over 100 machine learning functions for CPU and GPU" and "Multiple convolution algorithms (GeMM, Winograd, FFT, Direct and indirect-GeMM)".
- https://raw.githubusercontent.com/ARM-software/ComputeLibrary/main/README.md recorded 2026-09-30
README lists supported hardware "Arm® Mali™-G processor family" and "Arm® Neoverse™ processor family", and also "x86", with "Device and workload specific tuning using OpenCL tuner and GeMM optimized heuristics".
- https://raw.githubusercontent.com/openvinotoolkit/openvino/master/.gitmodules recorded 2026-09-30
OpenVINO .gitmodules declares a submodule "ARMComputeLibrary" at "src/plugins/intel_cpu/thirdparty/ComputeLibrary" with "url = https://github.com/ARM-software/ComputeLibrary.git".
- https://raw.githubusercontent.com/uxlfoundation/oneDNN/main/README.md recorded 2026-09-30
oneDNN README says the CPU engine "can be built with" "Arm Compute Library (ACL)] integration" on AArch64 CPUs.