{"library":"skl2onnx","type":"library","category":null,"description":"skl2onnx is a Python library that enables the conversion of scikit-learn machine learning models and pipelines into the ONNX (Open Neural Network Exchange) format. This conversion allows for improved model portability across different runtimes and often leads to enhanced inference performance, especially with ONNX Runtime. The library is actively maintained with frequent releases, typically on a monthly or bi-monthly cadence, and is currently at version 1.20.0.","language":"python","status":"active","version":"1.20.0","tags":["machine learning","model conversion","onnx","scikit-learn","inference"],"install":[{"cmd":"pip install skl2onnx onnx onnxruntime","imports":["from skl2onnx import to_onnx","from skl2onnx import convert_sklearn","from skl2onnx.common.data_types import FloatTensorType"]}],"homepage":null,"github":"https://github.com/onnx/sklearn-onnx","docs":null,"changelog":null,"pypi":"https://pypi.org/project/skl2onnx/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":50,"avg_install_s":15.9,"avg_import_s":4.27,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/skl2onnx/compatibility"},"provenance":{"verified_status":"install_fail","verified_at":"Sun Jun 28","last_verified":"Sun Jun 28","next_check":"Sun Jul 05","install_tag":null}}