tensorflow and tensorflow-on-arm

The second is a specialized fork that compiles the first for ARM processors, making them complements rather than competitors—you'd use tensorflow-on-arm specifically to deploy TensorFlow on resource-constrained or embedded ARM devices.

tensorflow
100
Verified
tensorflow-on-arm
44
Emerging
Maintenance 25/25
Adoption 25/25
Maturity 25/25
Community 25/25
Maintenance 0/25
Adoption 10/25
Maturity 9/25
Community 25/25
Stars: 194,185
Forks: 75,245
Downloads: 21,821,835
Commits (30d): 1067
Language: C++
License: Apache-2.0
Stars: 1,053
Forks: 270
Downloads: —
Commits (30d): 0
Language: Shell
License: MIT
No risk flags
Stale 6m No Package No Dependents

About tensorflow

tensorflow/tensorflow

An Open Source Machine Learning Framework for Everyone

Supports eager execution and graph modes for flexible computation, with native GPU acceleration via CUDA and cross-device compilation through XLA. Provides stable Python and C++ APIs alongside high-level libraries like Keras for rapid model development, while enabling deployment across CPUs, GPUs, TPUs, mobile, and embedded devices through platform-specific plugins.

About tensorflow-on-arm

lhelontra/tensorflow-on-arm

TensorFlow for Arm

Related comparisons

tensorflow and tensorflow-on-raspberry-pi tensorflow and intel-extension-for-tensorflow tensorflow and tensorflow-on-raspberry-pi

Scores updated daily from GitHub, PyPI, and npm data. How scores work