tensorflow/rust
Rust language bindings for TensorFlow observed · 2026-08-28
Health v2 · maintenance only
10/100
- Activity 1
- Release rhythm 35
- Longevity 100
Flags: no_releases archived
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: 3863
- days_rel: n/a
- days_push: 598
- n_releases_24m: 0
Adoption not part of the score
5476 stars · 434 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
TensorFlow Rust provides idiomatic Rust language bindings for TensorFlow via its C API. It lets Rust programs build and run TensorFlow computation graphs, with automatic download or compilation of TensorFlow shared libraries.
Use cases
- run tensorflow models from rust
- train machine learning models in rust
- embed tensorflow inference in a rust application
- use tensorflow c api bindings in rust
- build a rust binary with tensorflow gpu support
When to choose
- you are writing a Rust application that needs TensorFlow graph execution
- you want idiomatic Rust bindings instead of calling the C API directly
- you need CPU or CUDA GPU-backed TensorFlow from Rust on Linux or macOS
When to avoid
- you need a stable, guaranteed API - the project is still under active development
- you want PyTorch or newer TensorFlow 2.x Keras-style workflows
- you need prebuilt binaries on platforms other than x86-64 Linux or macOS, since building TensorFlow from source is memory intensive
Facets
library · maturity active
machine-learning deep-learning sdk machine-learning deep-learning developer-tools rust windows tensorflow-bindings rust-crate c-api neural-networks linux macos gpu
1 source
- readme: https://github.com/tensorflow/rust · fetched 2026-08-28 · 9a4160e51527
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| tensorflow/rust | main | 10 |
For agents
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem