apple/tensorflow_macos
TensorFlow for macOS 11.0+ accelerated using Apple's ML Compute framework. observed · 2026-08-28
Health v2 · maintenance only
10/100
- Activity 0
- Release rhythm 8
- Longevity 100
Flags: archived no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 2127
- days_rel: n/a
- days_push: 1767
- n_releases_24m: 0
Adoption not part of the score
3648 stars · 304 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
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 It has been superseded by the official tensorflow-metal PluggableDevice plugin for TensorFlow 2.5+.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
library · maturity abandoned
machine-learning deep-learning gpu-computing machine-learning deep-learning apple-ecosystem python tensorflow apple-silicon m1 ml-compute deprecated gpu-acceleration macos
1 source
- readme: https://github.com/apple/tensorflow_macos · fetched 2026-08-28 · 563177335c30
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| apple/tensorflow_macos | main | 10 |
For agents
markdown · JSON · MCP: product_card(name="apple/tensorflow_macos")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem