{"categories":[{"label":"Software Development","url":"https://skillfed.io/packages/category/software-development/7"},{"label":"Libraries","url":"https://skillfed.io/packages/category/software-development-libraries/5"},{"label":"Scientific/Engineering","url":"https://skillfed.io/packages/category/scientific-engineering/3"},{"label":"Python Modules","url":"https://skillfed.io/packages/category/software-development-libraries-python-modules/9"},{"label":"Artificial Intelligence","url":"https://skillfed.io/packages/category/scientific-engineering-artificial-intelligence/4"},{"label":"Mathematics","url":"https://skillfed.io/packages/category/scientific-engineering-mathematics/2"}],"enrichment":{"capability":"MXNet is a deep learning framework that enables you to build and train neural networks with support for multiple programming interfaces and hardware accelerators.","skillfed_tags":["deep-learning","abandoned","gpu-compute"],"use_cases":["Training neural networks for image classification or computer vision tasks using GPU acceleration.","Building distributed deep learning pipelines across multiple machines or GPUs for large-scale model training.","Deploying pre-trained models for inference in production environments where MXNet is already established.","Prototyping neural network architectures using symbolic computation graphs for research or experimentation.","Running legacy MXNet code or migrating existing projects that were built on this framework."],"what_it_does":"MXNet is a deep learning framework designed to balance efficiency and flexibility, allowing you to mix different programming styles and hardware targets in a single application. It provides symbolic and imperative programming interfaces, supports distributed training, and can run on CPUs, GPUs, and other accelerators. The package depends on numpy for numerical operations, requests for network communication, and graphviz for visualization.\n\nThe framework is mature and was widely used in production, but the repository is now archived and abandoned. The last release was in May 2022, over 1550 days ago. While the package itself may continue to work for existing projects, it receives no new features, bug fixes, or security updates. The codebase supports Python 3.5 through 3.8 according to its classifiers, and installation requires a system-level shared library on Linux.","worth_installing":"No, not for new projects. MXNet is abandoned\u2014the repository is archived, the last release was in May 2022, and no security or maintenance updates are forthcoming. For new deep learning work, use an actively maintained framework. Install MXNet only if you are maintaining or migrating legacy code that already depends on it, and plan a migration path to a supported alternative."},"id":"mxnet","links":{"html":"https://skillfed.io/packages/mxnet","md":"https://skillfed.io/packages/mxnet.md","pypi":"https://pypi.org/project/mxnet/"},"maintenance":{"status":"abandoned"},"meta":{"latest_release":"2022-05-17","license_spdx":null,"license_treatment":"permissive","name":"mxnet","python_support":"unspecified","summary":"Apache MXNet is an ultra-scalable deep learning framework. This version uses openblas and MKLDNN."},"popularity":{"monthly_downloads":693094,"position":5318,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"1.9.1"}