{"categories":[{"label":"Artificial Intelligence","url":"https://skillfed.io/packages/category/scientific-engineering-artificial-intelligence/11"}],"enrichment":{"capability":"Merges multiple ONNX neural network models into a single combined model by connecting specified output and input operators, with optional operator name prefixing to avoid conflicts.","skillfed_tags":["onnx","model-composition","neural-networks"],"use_cases":["Combine encoder and decoder ONNX models into a single end-to-end inference model for deployment.","Merge feature extraction and classification models trained separately into one unified network.","Chain multiple specialized models (e.g., preprocessing, main inference, post-processing) into a single deployable artifact.","Fuse stereo vision or multi-stage models where outputs of one stage feed into the next.","Automate model composition in CI/CD pipelines without writing custom ONNX graph code."],"what_it_does":"snc4onnx is a command-line and Python API tool for merging two or more ONNX neural network models into a single combined model. It works by connecting the output operators of one model to the input operators of another, with optional prefixing of operator names to prevent naming conflicts when models share common operation names. The tool runs ONNX simplification on the merged result by default to remove redundant operations.\n\nThe package is designed for developers who want to compose pre-trained models without writing custom graph manipulation code. It supports both file-based workflows (reading and writing .onnx files) and in-memory graph objects, making it suitable for both CLI automation and programmatic integration into larger pipelines.","worth_installing":"Yes, if you need to merge ONNX models and prefer a CLI or simple API over writing ONNX graph code directly. Install friction is negligible, maintenance is active, and the MIT license poses no restrictions. No known vulnerabilities. Suitable for production use in model composition workflows."},"id":"snc4onnx","links":{"html":"https://skillfed.io/packages/snc4onnx","md":"https://skillfed.io/packages/snc4onnx.md","pypi":"https://pypi.org/project/snc4onnx/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2025-10-08","license_spdx":null,"license_treatment":"permissive","name":"snc4onnx","python_support":"supports_current","summary":"Simple tool to combine onnx models. Simple Network Combine Tool for ONNX."},"popularity":{"monthly_downloads":84335,"position":14006,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"1.0.14"}