{"library":"onnxmltools","type":"library","category":null,"description":"ONNXMLTools facilitates the conversion of various machine learning models (e.g., scikit-learn, LightGBM, XGBoost, TensorFlow, SparkML) into the ONNX (Open Neural Network Exchange) format. This enables model interoperability across different frameworks and hardware. The current version is 1.16.0, and it maintains an active development cycle with new releases every few months.","language":"python","status":"active","version":"1.16.0","tags":["onnx","machine-learning","model-conversion","interoperability","lightgbm","xgboost","scikit-learn","tensorflow"],"install":[{"cmd":"pip install onnxmltools","imports":["from onnxmltools import convert_lightgbm"]},{"cmd":"pip install onnxmltools onnx_lightgbm onnx_xgboost skl2onnx tf2onnx sparkml2onnx","imports":[]}],"homepage":null,"github":"https://github.com/onnx/onnxmltools","docs":null,"changelog":null,"pypi":"https://pypi.org/project/onnxmltools/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":25,"avg_install_s":13,"avg_import_s":null,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/onnxmltools/compatibility"},"provenance":{"verified_status":"import_fail","verified_at":"Fri Jul 03","last_verified":"Fri Jul 03","next_check":"Fri Jul 10","install_tag":null}}