{"library":"onnxconverter-common","type":"library","category":null,"description":"The `onnxconverter-common` package provides common functions and utilities for use in converters from various AI frameworks to ONNX. It also enables different converters to work together, such as converting a scikit-learn pipeline embedding an XGBoost model. It is actively maintained by Microsoft with frequent releases, often tied to ONNX and ONNX Runtime updates, focusing on compatibility and optimization.","language":"python","status":"active","version":"1.16.0","tags":["ONNX","model conversion","optimization","float16","mixed precision","machine learning","deep learning"],"install":[{"cmd":"pip install onnxconverter-common","imports":["from onnxconverter_common import float16"]}],"homepage":null,"github":"https://github.com/microsoft/onnxconverter-common","docs":null,"changelog":null,"pypi":"https://pypi.org/project/onnxconverter-common/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":50,"avg_install_s":6.9,"avg_import_s":0.59,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/onnxconverter-common/compatibility"},"provenance":{"verified_status":"passing","verified_at":"Fri Jul 03","last_verified":"Fri Jul 03","next_check":"Sun Aug 02","install_tag":null}}