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TensorFlow Reviews

Vendor: TensorFlow
4.4 out of 5

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Featured TensorFlow reviews

TensorFlow mindshare

As of August 2025, the mindshare of TensorFlow in the AI Development Platforms category stands at 5.2%, down from 5.6% compared to the previous year, according to calculations based on PeerSpot user engagement data.
AI Development Platforms

PeerResearch reports based on TensorFlow reviews

TypeTitleDate
CategoryAI Development PlatformsAug 4, 2025Download
ProductReviews, tips, and advice from real usersAug 4, 2025Download
ComparisonTensorFlow vs Google Vertex AIAug 4, 2025Download
ComparisonTensorFlow vs Azure OpenAIAug 4, 2025Download
ComparisonTensorFlow vs Hugging FaceAug 4, 2025Download
Suggested products
TitleRatingMindshareRecommending
Google Vertex AI4.211.1%100%12 interviewsAdd to research
Azure OpenAI3.910.3%93%34 interviewsAdd to research
 
 
Key learnings from peers

Valuable Features

Room for Improvement

Pricing

Service and Support

Review data by company size

By reviewers
By visitors reading reviews

Top industries

By visitors reading reviews
Manufacturing Company
15%
Computer Software Company
11%
Financial Services Firm
9%
University
8%
Educational Organization
8%
Comms Service Provider
7%
Retailer
7%
Government
4%
Non Profit
3%
Healthcare Company
3%
Construction Company
2%
Media Company
2%
Performing Arts
2%
Legal Firm
2%
Real Estate/Law Firm
2%
Transportation Company
2%
Outsourcing Company
2%
Energy/Utilities Company
2%
Pharma/Biotech Company
2%
Wholesaler/Distributor
1%
Hospitality Company
1%
Insurance Company
1%
Recreational Facilities/Services Company
1%
Aerospace/Defense Firm
1%
Sports Company
1%
Consumer Goods Company
1%
 

TensorFlow reviews

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TJ
Owner at Go knowledge
Verified user of TensorFlow
Sep 1, 2024
Has good stability, but the process of creating models could be more user-friendly

Pros

"The available documentation is extensive and helpful."

Cons

"The process of creating models could be more user-friendly. "
Dan Bryant - PeerSpot user
CEO at II4Tech
Verified user of TensorFlow
Aug 30, 2023
A strong solution for providing insight into machine learning strategies

Pros

"TensorFlow provides Insights into both data and machine learning strategies."

Cons

"TensorFlow Lite only outputs to C."
Find out what your peers are saying about TensorFlow. Updated July 2025
864,248 professionals have used our research since 2012.
Jan-Kees Buenen - PeerSpot user
CEO, co-Founder at SynerScope B.V.
Verified user of TensorFlow
Jul 26, 2023
A powerful tool for image analytics that one can use with central and edge computing

Pros

"What made TensorFlow so appealing to us is that you could run it on a cluster computer and on a mobile device."

Cons

"It would be cool if TensorFlow could make it easier for companies like us to program for running it across different hyperscalers."
THARUN KUMAR REDDY B - PeerSpot user
Python Developer at EasyStepIn IT Services Private Limited
Verified user of TensorFlow
Aug 2, 2024
An efficient product for building neural networks

Pros

"TensorFlow is an efficient product for building neural networks. "

Cons

"Enhancements could include increasing use cases and improving the accuracy of previously built models in TensorFlow. For instance, when we run certain models, the computing power of laptops becomes high. "
RichardXu - PeerSpot user
Data Science Lead at a mining and metals company with 10,001+ employees
Verified user of TensorFlow
Aug 8, 2022
Effective deep learning, free to use, and highly stable

Pros

"The most valuable feature of TensorFlow is deep learning. It is the best tool for deep learning in the market."

Cons

"TensorFlow deep learning takes a lot of computation power. The more systems you can use, the easier it is. That's a good ability, if you can make a system run immediately at the same time on the same task, it's much faster rather than you having one system running which is slower. Running systems in parallel is a complex situation, but it can improve. There is a lot of work involved."
TS
Machine Learning Engineer at IIIT Kottayam
Verified user of TensorFlow
Dec 3, 2024
Supports multiple tasks and is easy to implement but needs more customization

Pros

"TensorFlow is easy to implement and offers inbuilt functions for various tasks."

Cons

"It currently offers inbuilt functions, however, having the ability to implement custom libraries would enhance its usefulness for enterprise-level applications."
Reda Bearbia - PeerSpot user
Sales Account Manager Southern Europe, MEA and Turkey at a computer software company with 51-200 employees
Verified user of TensorFlow
Mar 5, 2023
A good scalable solution for object recognition

Pros

"I would rate the solution an eight out of ten. I am not a developer but more of an account manager. I can find what I want with TensorFlow. I haven’t contacted technical support for any issues. Since TensorFlow is vastly documented on the internet, I usually find some good websites where people exchange their views about the solution and apply that."

Cons

"I would love to have a user interface like a programming interface. You need to have a set of menus where you can put things together in a graphical interface. The complete automation of the integration of the modules would also be interesting. It’s more like plumbing as opposed to a fully automated environment."
Noman Rafique - PeerSpot user
Professional Freelancer at Fiverr
Verified user of TensorFlow
Sep 27, 2023
An open source platform that helps you implement best practices for data automation

Pros

"It provides us with 35 features like patch normalization layers, and it is easy to implement using the Kras library when the Kaspersky flow is running behind it. "

Cons

"The solution is hard to integrate with the GPUs. "