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TensorFlow Reviews

Vendor: TensorFlow
4.4 out of 5

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Featured TensorFlow reviews

TensorFlow mindshare

As of January 2026, the mindshare of TensorFlow in the AI Development Platforms category stands at 5.8%, up from 4.1% compared to the previous year, according to calculations based on PeerSpot user engagement data.
AI Development Platforms Market Share Distribution
ProductMarket Share (%)
TensorFlow5.8%
Google Vertex AI8.1%
Hugging Face7.9%
Other78.2%
AI Development Platforms

PeerResearch reports based on TensorFlow reviews

TypeTitleDate
CategoryAI Development PlatformsJan 11, 2026Download
ProductReviews, tips, and advice from real usersJan 11, 2026Download
ComparisonTensorFlow vs Azure OpenAIJan 11, 2026Download
ComparisonTensorFlow vs Hugging FaceJan 11, 2026Download
ComparisonTensorFlow vs Google Vertex AIJan 11, 2026Download
Suggested products
TitleRatingMindshareRecommending
Google Vertex AI4.18.1%100%14 interviewsAdd to research
Hugging Face4.17.9%100%14 interviewsAdd to research
 
 
Key learnings from peers

Valuable Features

Room for Improvement

Pricing

Service and Support

Review data by company size

By reviewers
Company SizeCount
Small Business11
Midsize Enterprise3
Large Enterprise3
By reviewers
By visitors reading reviews
Company SizeCount
Small Business103
Midsize Enterprise42
Large Enterprise228
By visitors reading reviews

Top industries

By visitors reading reviews
Manufacturing Company
13%
Computer Software Company
10%
University
9%
Financial Services Firm
8%
Comms Service Provider
8%
Educational Organization
7%
Retailer
7%
Government
4%
Performing Arts
3%
Media Company
3%
Non Profit
3%
Legal Firm
2%
Construction Company
2%
Real Estate/Law Firm
2%
Energy/Utilities Company
2%
Wholesaler/Distributor
2%
Outsourcing Company
2%
Pharma/Biotech Company
1%
Healthcare Company
1%
Insurance Company
1%
Transportation Company
1%
Aerospace/Defense Firm
1%
Consumer Goods Company
1%
Hospitality Company
1%
Recreational Facilities/Services Company
1%
Sports Company
1%
Logistics Company
1%
Mining And Metals Company
1%
Engineering Company
1%
Marketing Services Firm
1%
 
TensorFlow Reviews Summary
Author infoRatingReview Summary
Owner at Go knowledge3.0I use TensorFlow to create AI models for object recognition projects. The tool is effective but could improve in user-friendliness when creating models.
CEO at II4Tech4.0<p>I use TensorFlow for R&amp;D in machine learning for prescriptive maintenance, benefiting from its data and strategy insights. However, I'd appreciate added support for outputting models in languages like C# or JavaScript, similar to DMWay.</p>
CEO, co-Founder at SynerScope B.V.4.5We utilize TensorFlow primarily for image pixel analysis, having run it on NVIDIA chips for a decade. It would be beneficial if TensorFlow could more seamlessly operate across different hyperscalers without needing specific hardware adjustments.
Machine Learning Engineer at IIIT Kottayam3.5No summary available
Sales Account Manager Southern Europe, MEA and Turkey at a computer software company with 51-200 employees4.0I use TensorFlow for computer vision and object recognition due to its extensive open-source code availability. Its adaptability surpasses alternatives like Caffe, though a GUI for easier module integration would be beneficial. I see tangible ROI with proper implementation.
Data Science Lead at a mining and metals company with 10,001+ employees4.5No summary available
Python Developer at EasyStepIn IT Services Private Limited4.5I use TensorFlow for NLP tasks involving neural networks. It efficiently builds networks, though improvements in use cases and model accuracy are needed. Sometimes, model execution demands high computing power on laptops, which could be optimized further.
Professional Freelancer at Fiverr5.0I use TensorFlow for deep learning tasks, including image classification and NLP. Its valuable features, such as patch normalization layers, are easily implemented with the Keras library. However, integration with GPUs can be challenging. I deploy it on Microsoft Azure.