# apple/tensorflow_macos

TensorFlow for macOS 11.0+ accelerated using Apple's ML Compute framework.

Repository: https://github.com/apple/tensorflow_macos
Canonical: https://ross.abutalabs.com/products/tensorflow_macos
Language: Shell
License: NOASSERTION
License Family: other
Archived: true
Last push: 2021-10-31T08:36:56+00:00

## Health v2 (maintenance only)
Score: 10/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 2127, "days_push": 1767, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: archived, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 3648, forks 304 (observed 2026-08-28T04:08:12.981132+00:00)

## What it is
A pre-release fork of TensorFlow and TensorFlow Addons for macOS 11.0+ that provides hardware acceleration on Apple Silicon and Intel Macs via Apple's ML Compute framework. It has been superseded by the official tensorflow-metal PluggableDevice plugin for TensorFlow 2.5+.

## Use cases
- run tensorflow with gpu acceleration on m1 mac
- train machine learning models on apple silicon
- accelerate tensorflow on macos
- install tensorflow on mac arm64
- use ml compute backend for tensorflow

## When to choose
- you are stuck on macOS 11 with TensorFlow r2.4 and cannot upgrade
- you need to reproduce legacy results from the 2021 alpha builds

## When to avoid
- you are on TensorFlow 2.5 or later - use tensorflow-metal instead
- you need SciPy or TensorBoard on M1
- you want an actively maintained or stable release

## Facets
- artifact type: library
- maturity: abandoned
- function: machine-learning, deep-learning, gpu-computing
- domain: machine-learning, deep-learning, apple-ecosystem
- platform: python
- tags: tensorflow, apple-silicon, m1, ml-compute, deprecated, gpu-acceleration, macos

## Member repositories
- apple/tensorflow_macos (main) score 10

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:12.981132+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 2026-08-29T18:31:42.583276+00:00, confidence not recorded.
  - readme: https://github.com/apple/tensorflow_macos (fetched 2026-08-28T04:08:12.981132+00:00, sha 563177335c30)
- Data as of 2026-08-30T08:39:29.467469+00:00.