onnx/onnx-tensorflow
Some data may be outdated — see provenance labels.
Tensorflow Backend for ONNX observed · 2026-09-24
Health v2 · maintenance only
64/100
- Activity 91
- Release rhythm 8
- Longevity 100
Flags: no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-10-22. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 3303
- days_rel: n/a
- days_push: 59
- n_releases_24m: 0
Adoption not part of the score
1329 stars · 299 forks observed · 2026-09-24
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
A Python library and CLI that converts ONNX machine learning models into TensorFlow models so they can be executed with TensorFlow. It is the ONNX-to-TensorFlow counterpart of tf2onnx.
Use cases
- convert onnx model to tensorflow
- run onnx models with tensorflow backend
- port pytorch-exported onnx models into tensorflow
- cli tool to convert .onnx files to saved tensorflow models
- infer onnx models using tensorflow runtime
When to choose
- you have an ONNX model and need to run or integrate it in a TensorFlow pipeline
- you need programmatic or CLI-based ONNX-to-TensorFlow conversion
When to avoid
- you need actively maintained tooling - the repo is deprecated and unmaintained
- you want to convert TensorFlow models to ONNX (use tf2onnx instead)
- you target TensorFlow Lite or newer TF2 workflows with ongoing support
Facets
library · maturity abandoned
machine-learning compiler cli deep-learning machine-learning developer-tools python cross-platform onnx tensorflow model-conversion model-portability deprecated
1 source
- readme: https://github.com/onnx/onnx-tensorflow · fetched 2026-09-24 · fe3730829c7e
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| onnx/onnx-tensorflow | main | 64 |
For agents
markdown · JSON · MCP: product_card(name="onnx/onnx-tensorflow")
Data as of 2026-10-19T08:05:51.212177+00:00 · Report a problem