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TensorFlow
Based on GetApp‘s extensive, proprietary database of in-depth, verified user reviews
Open-source platform for creating ML-enabled applications
Table of Contents
TensorFlow - 2026 Pricing, Features, Reviews & Alternatives
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TensorFlow overview
What is TensorFlow?
TensorFlow is an open-source platform, which helps developers, businesses, and researchers build, launch, and manage machine learning (ML)-enabled applications using a variety of tools, built-in code libraries, and community resources. The solution offers a collection of customizable workflows to assist organizations with developing and training models using Swift, Python or JavaScript programming languages and deploying them in the cloud, on-premise or in a browser.
TensorFlow includes a JavaScripts library, which enables organizations to create new models, translate codes, and retrain existing ML models. It allows developers to create models for mobile and IoT devices using the TensorFlow Lite module. The data validation feature lets users monitor and validate volumes of data to ensure continuous operations across the ML pipeline.
Coding professionals can handle various preprocessing and dataset transformation operations such as format conversion, tokenizing and stemming of text, creating vocabularies, and normalization. TensorFlow’s model analysis functionality allows developers to determine and visualize evaluation metrics for their models to analyze performance and behavior of applications.
Starting price
TensorFlow’s user interface
TensorFlow pros, cons and reviews insights
To determine these pros and cons insights, we analyzed responses from
Overall rating
Value for money
4.7
Features
4.6
Ease of use
3.9
Customer support
4.1
Reviews sentiment
What do users say about TensorFlow?
Reviewers indicate TensorFlow is powerful for deep learning and machine learning projects, offering flexibility, strong community support, and extensive resources. They find its visualization tools like TensorBoard helpful, and appreciate the wide range of supported algorithms and integration with multiple languages. Many say it is widely used in research and industry, and value its open-source nature.
They report, however, that TensorFlow has a steep learning curve, especially for beginners, and that documentation and guides could be clearer. Some find it less intuitive and harder to use than alternatives, and mention challenges with customization and project setup.
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Who uses TensorFlow?
Based on 104 verified user reviews.
Company size
Small Businesses
Enterprises
Midsize Businesses
Top industries
Use cases
TensorFlow's key features
Most critical features, based on insights from TensorFlow users:
All TensorFlow features
Features rating:
TensorFlow alternatives
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TensorFlow pricing
Value for money rating:
Starting from
No pricing info
User opinions about TensorFlow price and value
Value for money rating:
To see what individual users think of TensorFlow's price and value, check out the review snippets below.
Sean B.
Student
Ben W.
Software Engineer
TensorFlow integrations (9)
Top integrations
TensorFlow support options
Typical customers
Platforms supported
Support options
Training options
TensorFlow FAQs
TensorFlow has the following pricing plans:
Pricing model: Open Source
Q. Who are the typical users of TensorFlow?
TensorFlow has the following typical customers:
Freelancers, Large Enterprises, Mid Size Business, Small Business
Q. What languages does TensorFlow support?
TensorFlow supports the following languages:
English
Q. Does TensorFlow offer an API?
Yes, TensorFlow has an API available for use.
Q. What level of support does TensorFlow offer?
TensorFlow offers the following support options:
FAQs/Forum, Phone Support, Knowledge Base, Email/Help Desk
