Open-source machine learning framework by Google
As of 30 August 2026, TensorFlow is free to use. TensorFlow is an end-to-end open-source machine learning platform developed by Google Brain. Softwr lists it under Machine Learning. TensorFlow is made by Google, launched in 1998, available on API.
Overview
TensorFlow is an end-to-end open-source machine learning platform developed by Google Brain. It provides a comprehensive ecosystem of tools, libraries, and community resources for building and deploying ML-powered applications. TensorFlow supports deep learning, neural networks, computer vision, NLP, and reinforcement learning with both eager execution and graph-based computation.
The honest half
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Cross-shopped
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Keras: High-level API for deep learning now supporting multiple backends including TensorFlow, PyTorch, and JAX. Keras 3 enables unified code across frameworks while TensorFlow integrated Keras as its official high-level API.
AWS SageMaker: Fully managed AWS service providing end-to-end machine learning workflows for building, training, and deploying models, with support for TensorFlow and other frameworks at scale.
Google Vertex AI: Google Cloud's unified machine learning platform supporting TensorFlow alongside other frameworks, offering managed training, deployment, and monitoring for production ML workloads.
Databricks: Enterprise machine learning platform providing unified analytics and ML operations built on Apache Spark, supporting multiple ML frameworks including TensorFlow.
Hugging Face: Hub and framework for transformer models and NLP, providing pre-trained models and tools that can run on TensorFlow, PyTorch, or JAX backends for natural language processing.
Capabilities
Deep learning framework
Neural network training
Model deployment
TensorBoard visualization
Distributed training
Keras
Integration with Keras
TensorFlow Lite
Integration with TensorFlow Lite
TensorFlow.js
Integration with TensorFlow.js
Google Cloud
Integration with Google Cloud
Linux support
Available on linux
Mac support
Available on mac
Windows support
Available on windows
Answered, with sources
Each answer names the page it came from, so you can check it rather than take our word for it.
Yes. TensorFlow.js allows you to develop and deploy machine learning models directly in the browser using JavaScript. It supports both WebGL GPU backend and WebAssembly backends for acceleration.
SourceYes. TensorFlow Lite enables on-device machine learning on Android, iOS, Raspberry Pi, and embedded systems. LiteRT provides high-performance AI inference for resource-constrained IoT devices.
SourceTensorFlow supports GPU acceleration and Google's proprietary Tensor Processing Units (TPUs) for specialized matrix operations. Cloud TPUs offer native high-performance support for large-scale machine learning.
SourceYes. TensorFlow is completely free and open-source under the Apache 2.0 license. Google released TensorFlow as open-source on November 9, 2015 for anyone to use without licensing costs.
SourceBehind it
Timeline
Google releases TensorFlow as open-source under Apache 2.0 license
SourceKeep looking
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Git-style versioning for data sets and models, with the files kept in object storage
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