TensorFlow

7.1easy start · #7 of 36
in Deep Learning Software

Free to practise onyes
Free trialnot on record
Well documentedyes
Runs where you workyes

Runs on Android, api, iOS, Linux, Mac, self-hosted, Web, Windows.

TensorFlow is ranked #7 of 36 in deep learning software on The Geeks Club. It runs on Android, API, iOS, Linux, macOS, Self-hosted, Web, Windows. There is a free plan.

TensorFlow plans and pricing

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TensorFlow Free Open-source machine learning platform · installable packages for supported systems tensorflow.org · 29 Sept 2026

Compared on deep learning software

Free plan: Yes
Training mode: local
Deployment targets: multiple
GPU acceleration: Yes
Distributed training: Yes
Supported languages: Python, Java, Go, JavaScript
Model formats: SavedModel, Keras .keras, TensorFlow Lite (.tflite), TensorFlow.js

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The record

Product: TensorFlow is an end-to-end platform for creating machine learning models that can run in different environments.
Model building: TensorFlow offers the high-level Keras API, eager execution, and a Distribution Strategy API for distributed training.
Production deployment: TensorFlow supports model deployment on servers, edge devices, and the web, with TFX for production pipelines, TensorFlow Lite for mobile and edge inference, and TensorFlow.js for JavaScript environments.
Ecosystem: The TensorFlow ecosystem includes TensorFlow.js, LiteRT, tf.data, TFX, tf.keras, TensorFlow Datasets, and TensorBoard.
Integrations: The TFX pipeline tutorial describes exporting pipeline source code that can be orchestrated with Apache Airflow and Apache Beam.
Responsible AI: TensorFlow provides resources and tools addressing fairness, interpretability, privacy, and security in machine learning workflows.
Privacy tools: The responsible AI toolkit lists TF Privacy for training models with privacy and TF Federated for federated learning.
Supported systems: The install guide lists tested and supported 64-bit environments including Ubuntu, Windows, and macOS, plus WSL2 with GPU support marked experimental.
Platform limitation: The install guide states that macOS has no GPU support for TensorFlow.
Browser development: TensorFlow.js is described as a JavaScript library for training and deploying machine learning models in the browser, Node.js, mobile, and other environments.
Cloud learning option: Google Colab runs TensorFlow tutorials in a browser-based Jupyter notebook environment with no installation or setup required.
Support: TensorFlow directs users to its issue tracker, release notes, Stack Overflow, community forum, and announcement mailing list.
License and release: TensorFlow's API and reference implementation were released as an open-source package under the Apache 2.0 license in November 2015.
Maker: TensorFlow's whitepaper describes the system as built at Google.
Price from: Free

Where it ranks on The Geeks Club

Best Deep Learning Software in 2026#7 of 36

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Sources

tensorflow.org· checked 29 Sept 2026
tensorflow.org/about· checked 29 Sept 2026
tensorflow.org/tfx/tutorials/tfx/components_keras· checked 29 Sept 2026
tensorflow.org/responsible_ai· checked 29 Sept 2026
tensorflow.org/install· checked 29 Sept 2026
tensorflow.org/community· checked 29 Sept 2026
tensorflow.org/about/bib· checked 29 Sept 2026