{"categories":[{"label":"Artificial Intelligence","url":"https://skillfed.io/packages/category/scientific-engineering-artificial-intelligence/6"}],"enrichment":{"capability":"Multi Model Server is a tool for serving deep learning models exported from MXNet or ONNX via HTTP endpoints for inference requests, using a CLI or Docker images to manage the service.","skillfed_tags":["model-serving","archived-project","deep-learning"],"use_cases":["Deploy MXNet or ONNX models as REST APIs for batch or real-time inference without building a custom server.","Package trained models into archives and serve them alongside other models on a single HTTP endpoint.","Run model inference in containerized environments using the provided Docker images for consistent deployment.","Monitor resource usage (CPU, memory) during model serving using built-in system monitoring capabilities."],"what_it_does":"Multi Model Server is a framework for deploying deep learning models as HTTP services. It accepts models exported from MXNet or ONNX, packages them using model-archiver, and runs them behind HTTP endpoints that handle inference requests. The tool provides both a command-line interface and pre-built Docker images to simplify setup and deployment.\n\nThe package depends on Pillow for image handling, psutil for system monitoring, future for Python 2/3 compatibility, and model-archiver for packaging models. However, the project is no longer maintained\u2014the repository is archived, the last commit was in May 2024, and no releases have occurred since June 2023. This means no bug fixes, security patches, or feature updates are expected going forward.","worth_installing":"No\u2014do not install for new projects. The package is abandoned (archived repository, no commits since May 2024, last release June 2023) and will receive no maintenance, security updates, or bug fixes. If you need model serving, use actively maintained alternatives like TorchServe, TensorFlow Serving, or Seldon Core. Install only if you are maintaining legacy code that already depends on it and cannot migrate."},"id":"multi-model-server","links":{"html":"https://skillfed.io/packages/multi-model-server","md":"https://skillfed.io/packages/multi-model-server.md","pypi":"https://pypi.org/project/multi-model-server/"},"maintenance":{"status":"abandoned"},"meta":{"latest_release":"2023-06-20","license_spdx":null,"license_treatment":"permissive","name":"multi-model-server","python_support":"unspecified","summary":"Multi Model Server is a tool for serving neural net models for inference"},"popularity":{"monthly_downloads":393634,"position":6997,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"1.1.11"}