# lhelontra/tensorflow-on-arm

TensorFlow for Arm

Repository: https://github.com/lhelontra/tensorflow-on-arm
Canonical: https://ross.abutalabs.com/products/tensorflow-on-arm
Language: Shell
License: MIT
License Family: permissive
Topics: odroid-c2, raspberry-pi, tensorflow, machine-learning
Last push: 2021-08-13T21:19:26+00:00

## Health v2 (maintenance only)
Score: 23/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 3319, "days_push": 1846, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1052, forks 266 (observed 2026-08-28T04:03:23.347616+00:00)

## What it is
A set of shell scripts and Docker-based build tooling for cross-compiling TensorFlow wheels for ARM boards like Raspberry Pi and Odroid. It also distributes prebuilt up-to-date TensorFlow pip wheels for Raspberry Pi.

## Use cases
- build tensorflow wheels for raspberry pi
- cross-compile tensorflow for arm boards
- install tensorflow on odroid-c2
- get prebuilt tensorflow pip packages for armhf
- run machine learning on single-board computers

## When to choose
- you need TensorFlow on an ARM device without official wheels
- you want to cross-compile TensorFlow for a specific ARM board config
- you need newer TensorFlow versions on Raspberry Pi OS

## When to avoid
- you target x86 or standard cloud platforms where official wheels exist
- you need actively maintained tooling for the latest TensorFlow releases
- you use ARM64 boards better served by official aarch64 wheels

## Facets
- artifact type: cli-tool
- maturity: maintenance
- function: machine-learning, build-tool, developer-tools
- domain: machine-learning, embedded-systems, developer-tools
- platform: python
- tags: tensorflow, cross-compilation, raspberry-pi, arm, wheels, shell-scripts, linux, docker

## Member repositories
- lhelontra/tensorflow-on-arm (main) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:23.347616+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T06:59:44.294307+00:00, confidence not recorded.
  - readme: https://github.com/lhelontra/tensorflow-on-arm (fetched 2026-08-28T04:03:23.347616+00:00, sha c1908737b2bd)
- Data as of 2026-08-30T08:39:29.467469+00:00.