{"categories":[{"label":"Artificial Intelligence","url":"https://skillfed.io/packages/category/scientific-engineering-artificial-intelligence/11"}],"enrichment":{"capability":"Adds or modifies output nodes in ONNX model graphs, allowing you to expose intermediate layer outputs as model endpoints via CLI or Python API.","skillfed_tags":["onnx-tools","model-debugging"],"use_cases":["Extract intermediate layer outputs from a trained model for visualization or analysis without model retraining","Debug ONNX graphs by exposing internal node outputs to inspect computation at specific stages","Prepare models for multi-output inference where only certain intermediate results are needed","Adapt pre-trained models to new downstream tasks by exposing different layer outputs as model endpoints"],"what_it_does":"soa4onnx is a lightweight utility for modifying ONNX model graphs by designating intermediate operations as model outputs. It works by taking an existing ONNX file and a list of operation names, then rewiring the graph so those operations become exposed outputs that can be queried independently. This is useful when you want to extract intermediate layer activations or debug specific computation stages without retraining or restructuring the model.\n\nThe package offers both a command-line interface and a Python API (outputs_add function). It requires only Python 3.6+ and has no external runtime dependencies, making it straightforward to integrate into model processing pipelines. The tool includes optional type checking and verbosity control for integration into automated workflows.","worth_installing":"Yes, if you work with ONNX models and need to expose intermediate outputs. The package is lightweight, has no dependencies, and carries permissive licensing. However, maintenance is aging (last release 314 days ago), so verify compatibility with your ONNX runtime version before relying on it in production pipelines."},"id":"soa4onnx","links":{"html":"https://skillfed.io/packages/soa4onnx","md":"https://skillfed.io/packages/soa4onnx.md","pypi":"https://pypi.org/project/soa4onnx/"},"maintenance":{"status":"aging"},"meta":{"latest_release":"2025-10-04","license_spdx":null,"license_treatment":"permissive","name":"soa4onnx","python_support":"supports_current","summary":"Simple model output OP additional tools."},"popularity":{"monthly_downloads":84058,"position":14029,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"1.0.5"}