{"categories":[{"label":"Software Development","url":"https://skillfed.io/packages/category/software-development"},{"label":"Libraries","url":"https://skillfed.io/packages/category/software-development-libraries"},{"label":"Scientific/Engineering","url":"https://skillfed.io/packages/category/scientific-engineering"},{"label":"Python Modules","url":"https://skillfed.io/packages/category/software-development-libraries-python-modules/2"},{"label":"Artificial Intelligence","url":"https://skillfed.io/packages/category/scientific-engineering-artificial-intelligence"},{"label":"Mathematics","url":"https://skillfed.io/packages/category/scientific-engineering-mathematics"}],"enrichment":{"capability":"TensorFlow is an open-source machine learning framework for building and training neural networks and other numerical computation models, deployable across CPUs, GPUs, TPUs, and edge devices.","skillfed_tags":["deep-learning","gpu-accelerated","distributed-training"],"use_cases":["Build and train convolutional neural networks for image classification or object detection tasks.","Develop recurrent neural networks or transformer models for sequence modeling and NLP applications.","Deploy trained models to mobile devices, edge hardware, or cloud infrastructure for inference.","Perform distributed training across multiple GPUs or TPUs for large-scale model development.","Conduct numerical experiments and scientific simulations using automatic differentiation.","Prototype machine learning pipelines with Keras high-level APIs before production deployment."],"what_it_does":"TensorFlow is a production-grade machine learning framework that provides a flexible architecture for numerical computation and deep learning. It abstracts low-level tensor operations and automatic differentiation, allowing you to define models declaratively and train them on diverse hardware\u2014from laptops to distributed clusters\u2014without rewriting code. The framework includes Keras as its high-level API for building neural networks, and supports both eager execution for research and graph-based execution for deployment.\n\nThe package ships with 20 runtime dependencies including numpy for array operations, keras for model building, protobuf for serialization, and grpcio for distributed training. Installation requires Python 3.10 or later and platform-specific compiled wheels; GPU acceleration is available for NVIDIA hardware via CUDA 12. It is actively maintained and widely used in production systems for computer vision, natural language processing, reinforcement learning, and scientific computing.","worth_installing":"Yes. TensorFlow is a mature, actively maintained framework with no known vulnerabilities, strong community support, and permissive licensing. Install friction is moderate due to compiled dependencies, but prebuilt wheels for modern Python versions (3.10\u20133.13) and multiple platforms reduce setup complexity. Suitable for research, prototyping, and production machine learning workloads."},"id":"tensorflow","links":{"html":"https://skillfed.io/packages/tensorflow","md":"https://skillfed.io/packages/tensorflow.md","pypi":"https://pypi.org/project/tensorflow/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-03-06","license_spdx":null,"license_treatment":"permissive","name":"tensorflow","python_support":"supports_current","summary":"TensorFlow is an open source machine learning framework for everyone."},"popularity":{"monthly_downloads":20761191,"position":1026,"tier":"top_5000"},"security":{"n_vulnerabilities":0},"version":"2.21.0"}