{"library":"mleap","type":"library","category":null,"description":"MLeap is a serialization format and a runtime for machine learning pipelines. It allows you to train models using Apache Spark, Scikit-learn, or XGBoost, and then serialize them into a portable format that can be served in real-time without Spark dependencies. The Python API, currently at version 0.24.0, provides tools for training, exporting, and running these pipelines. It supports Python 3.9+, Scala 2.13, Spark 4.0.1, and Java 17. Releases are semi-regular, often driven by upstream library updates.","language":"python","status":"active","version":"0.24.0","tags":["machine-learning","model-serving","spark","serialization","onnx","sklearn"],"install":[{"cmd":"pip install mleap","imports":["from mleap import version"]},{"cmd":"pip install mleap[spark]","imports":[]},{"cmd":"pip install mleap[onnx]","imports":[]}],"homepage":"https://mleap.ai","github":"https://github.com/combust/mleap","docs":null,"changelog":null,"pypi":"https://pypi.org/project/mleap/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":25,"avg_install_s":13.5,"avg_import_s":null,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/mleap/compatibility"},"provenance":{"verified_status":"passing","verified_at":"Tue Jun 30","last_verified":"Tue Jun 30","next_check":"Thu Jul 30","install_tag":null}}