{"categories":[{"label":"Artificial Intelligence","url":"https://skillfed.io/packages/category/scientific-engineering-artificial-intelligence/11"}],"enrichment":{"capability":"Analyzes and displays the structure of ONNX models, including those too large for graphical tools like Netron, reporting operation counts and model size.","skillfed_tags":["onnx-tools","model-inspection","ml-debugging"],"use_cases":["Inspect the operation breakdown of large ONNX models that cannot be visualized with Netron.","Verify model structure and operation counts programmatically before deploying to inference engines.","Analyze model size and complexity as part of model optimization workflows.","Debug ONNX graph structure issues by examining operation types and counts in text form."],"what_it_does":"ssc4onnx is a command-line and Python library tool for inspecting the structure of ONNX neural network models. It addresses a specific gap: when models are too large or complex for visual inspection tools like Netron, ssc4onnx provides a text-based breakdown of the model's operations and total byte size. The tool works both as a CLI utility (via `ssc4onnx -if model.onnx`) and as a Python function that accepts either a file path or an in-memory ONNX ModelProto object.\n\nThe package has no runtime dependencies beyond Python itself, making installation straightforward. It returns operation counts by type and the model's byte size, useful for understanding model complexity and identifying bottlenecks before deployment. The codebase is part of a larger ONNX processing toolkit maintained on GitHub, though the package itself has not been updated in over 1055 days.","worth_installing":"Yes, if you need to inspect large ONNX models and Netron is insufficient. The low install friction and permissive license make it a low-risk addition. However, dormant maintenance (last update over 1055 days ago) means you should verify compatibility with your ONNX opset version before relying on it in production pipelines."},"id":"ssc4onnx","links":{"html":"https://skillfed.io/packages/ssc4onnx","md":"https://skillfed.io/packages/ssc4onnx.md","pypi":"https://pypi.org/project/ssc4onnx/"},"maintenance":{"status":"dormant"},"meta":{"latest_release":"2023-09-24","license_spdx":null,"license_treatment":"permissive","name":"ssc4onnx","python_support":"supports_current","summary":"Checker with simple ONNX model structure. Simple Structure Checker for ONNX."},"popularity":{"monthly_downloads":82848,"position":14126,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"1.0.8"}