{"library":"bentoml","type":"library","category":null,"description":"BentoML is an open-source framework for building, shipping, and scaling AI applications. It allows developers to create production-ready API endpoints from machine learning models, bundle them into 'Bentos' (deployable archives), and serve them via a unified API server. It currently supports a wide range of ML frameworks and provides tools for model management, API orchestration, and deployment to various platforms. BentoML is actively maintained with frequent patch releases and regular minor version updates.","language":"python","status":"active","version":"1.4.38","tags":["MLOps","model serving","deployment","API","AI"],"last_verified":"Mon May 25","install":[{"cmd":"pip install bentoml","imports":["from bentoml import Service","from bentoml.io import JSON, NumpyNdarray, Image # Or other I/O types","import bentoml\nbentoml.models.save(...)","from bentoml import Service","import bentoml\n# Access models via bentoml.models.get or by name in Service constructor"]},{"cmd":"pip install \"bentoml[transformers]\" # For Transformers models\npip install \"bentoml[pytorch]\" # For PyTorch models","imports":[]}],"homepage":"https://bentoml.com","github":"https://github.com/bentoml/bentoml","docs":"https://docs.bentoml.com","changelog":null,"pypi":"https://pypi.org/project/bentoml/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":100,"avg_install_s":14.8,"avg_import_s":2.42,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/bentoml/compatibility"}}