{"library":"sklearn2pmml","type":"library","category":null,"description":"sklearn2pmml is a Python library designed for converting Scikit-Learn pipelines and estimators into the Predictive Model Markup Language (PMML) format. It acts as a thin Python wrapper around the JPMML-SkLearn Java library, enabling the export of trained machine learning models for deployment in environments that support PMML. The current version is 0.130.0, released on April 4, 2026, and the library is actively maintained.","language":"python","status":"active","version":"0.130.0","tags":["scikit-learn","pmml","model export","machine learning","model deployment","interoperability"],"install":[{"cmd":"pip install sklearn2pmml","imports":["from sklearn2pmml.pipeline import PMMLPipeline","from sklearn2pmml import sklearn2pmml"]}],"homepage":null,"github":"https://github.com/jpmml/sklearn2pmml","docs":null,"changelog":null,"pypi":"https://pypi.org/project/sklearn2pmml/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":50,"avg_install_s":13.7,"avg_import_s":4.16,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/sklearn2pmml/compatibility"},"provenance":{"verified_status":"passing","verified_at":"Sun Jun 28","last_verified":"Sun Jun 28","next_check":"Tue Jul 28","install_tag":null}}