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onnx/onnx-tensorflow

Tensorflow Backend for ONNX observed · 2026-08-28

github.com/onnx/onnx-tensorflow · Python · NOASSERTION (other) observed · 2026-08-28

Health v2 · maintenance only

67/100

  • Activity 99
  • 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 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 3254
  • days_rel: n/a
  • days_push: 10
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

1326 stars · 299 forks observed · 2026-08-28

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

Member repositories

RepositoryRoleHealth v2
onnx/onnx-tensorflowmain67

For agents

markdown · JSON · MCP: product_card(name="onnx/onnx-tensorflow")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem