pywebnn

Python bindings for the W3C WebNN API, powered by rustnn.

Install

pywebnn is available on PyPI:

pip install pywebnn

Docs

Full documentation is published on GitHub Pages:

https://rustnn.github.io/pywebnn/

Quick Start

import numpy as np
import webnn

ml = webnn.ML()
context = ml.create_context(device_type="cpu")
builder = context.create_graph_builder()

x = builder.input("x", [2, 3], "float32")
y = builder.input("y", [2, 3], "float32")
out = builder.relu(builder.add(x, y))
graph = builder.build({"output": out})

result = context.compute(
    graph,
    {
        "x": np.array([[1, 2, 3], [4, 5, 6]], dtype=np.float32),
        "y": np.array([[0.1, 0.2, 0.3], [0.4, 0.5, 0.6]], dtype=np.float32),
    },
)
print(result["output"])

Links

Project links

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Latest release

1 maintainer

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Avatar for tarek from gravatar.com tarek

Credits

Author: Tarek Ziade

GitHub Statistics

Data verified by PyPI on May 4, 2026
The GitHub source repository was provided by the project maintainers and verified by PyPI at the time of upload. Stars, forks, and open issues/PRs are derived from that repository and have not been independently verified.

License

Apache Software License (Apache-2.0)

Requires

Python >=3.10

Provides Extra

test

Tags

webnn neural-network machine-learning onnx coreml ai graph inference

Classifiers

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