onnx2json
Exports the ONNX file to a JSON file or JSON dict.
Decision gist · record as of 2026-08-14
Yes, if you need to convert ONNX models to JSON and are working with models from before early 2023. The package is stable, has no dependencies, and carries no known vulnerabilities. However, do not rely on it for long-term maintenance or support for cutting-edge ONNX features—it is abandoned. If you need active development or compatibility with the latest ONNX specifications, consider alternatives or maintain a fork.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.6 or later.
- The ONNX model file must exist at the specified path.
- Installs with no runtime dependencies and low friction.
License · maintenance · safety
MIT License (permissive) — MIT License permits commercial and private use with minimal restrictions, requiring only attribution and inclusion of the license text.
last release 2023-01-25 (1297 days) · last repo commit 2023-01-25 · 33 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 82,977 downloads/mo, #14,111 on PyPI
Alternatives
Verify before relying
pip install onnx2json
from onnx2json import convert
onnx_json = convert(
input_onnx_file_path="model.onnx",
output_json_path="model.json",
json_indent=2
)- Whether the package handles all ONNX opset versions correctly or only specific versions.
- Performance characteristics when converting large or complex ONNX models.
- Compatibility with recent ONNX library versions released after 2023.
What it is and what it does
onnx2json is a command-line and Python library tool that serializes ONNX (Open Neural Network Exchange) model files into JSON format. It reads a binary ONNX file and outputs either a JSON file or an in-memory dictionary representation of the model's structure, graph, and metadata. The tool supports customizable JSON indentation and can work with pre-loaded ONNX graph objects.
The package is designed for developers who need to inspect, analyze, or transform ONNX models in a human-readable or programmatically accessible format. It has no runtime dependencies beyond Python itself, making it lightweight to install. However, it is no longer actively maintained—the last release was in January 2023, and the repository shows no recent commits, meaning it will not receive updates for new ONNX features or Python versions.
Use it for
- Inspect the structure and metadata of an ONNX neural network model for debugging or documentation.
- Convert ONNX models to JSON for integration with web-based model viewers or analysis tools.
- Programmatically extract and manipulate ONNX model information in Python scripts.
- Serialize ONNX graphs to JSON as an intermediate step in model transformation pipelines.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you need to convert ONNX models to JSON and are working with models from before early 2023.
The package is stable, has no dependencies, and carries no known vulnerabilities. However, do not rely on it for long-term maintenance or support for cutting-edge ONNX features—it is abandoned. If you need active development or compatibility with the latest ONNX specifications, consider alternatives or maintain a fork.
Install
onnx2json on PyPI
Before you install
Installs with no runtime dependencies and low friction. However, the package is abandoned—last release was 2023-01-25 and no commits since then. It will not receive updates or security patches.
Requires Python 3.6 or later. The ONNX model file must exist at the specified path.
License in practice
MIT License permits commercial and private use with minimal restrictions, requiring only attribution and inclusion of the license text.
Quickstart
pip install onnx2json
from onnx2json import convert
onnx_json = convert(
input_onnx_file_path="model.onnx",
output_json_path="model.json",
json_indent=2
)Verify before relying
- Whether the package handles all ONNX opset versions correctly or only specific versions.
- Performance characteristics when converting large or complex ONNX models.
- Compatibility with recent ONNX library versions released after 2023.
Package facts
| License | MIT License permissive |
| Python support | Supports the current Python release >=3.6 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | None |
| Maintenance | Abandoned 1,297 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 82,977 / month, #14,111 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
Evidence: onnx2json-2.0.4-py3-none-any.whl
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See also json2onnx · sed4onnx · simple-onnx-processing-tools · sng4onnx · ssc4onnx · sde4onnx · sod4onnx · sio4onnx · ssi4onnx · soc4onnx