TensorFlow 2026: Benefits, Features & Pricing

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Overview
Pricing and Plans
Features
User Reviews

Overview

TensorFlow

4.6

(104)

Pricing

Pricing available upon request

About TensorFlow

TensorFlow is an open-source software library for numerical computation using data flow graphs. The technology can be applied to many use cases, from computer vision, natural language processing, and medical image analysis to robotics and game AI.

TensorFlow Screenshots

TensorFlow Pricing and Plans

Starting price: Pricing available upon request

Free Trial

Free Version

TensorFlow Features

Popular features found in Machine Learning
Data Import/Export
Data Visualization
Deep Learning
Natural Language Processing
Predictive Modeling
More features of TensorFlow
API
Configurable Workflow
Model Training
Workflow Management

TensorFlow User Reviews

Overall Rating

4.6

Ratings Breakdown

66%

31%

Secondary Ratings

Ease of Use

3.9

Value for money

4.7

Customer support

4.1

Functionality

4.6

Shriya B.

Verified reviewer

Information Technology and Services

201-500 employees

Used other for less than 2 years

Review source

Reviewed September 2018

Most advance machine learning library

Building machine learning model from scratch and want full power of customisation then choose this tool.

Ratings Breakdown

Ease of use

Value for money

Customer support

Functionality

Pros:

I think it is the most advance library for machine learning specially for deep learning. It very easy to write neural network in this library. It comes with lot of inbuilt function to process data. Also, it has lots of prebuilt function which ease the implementation of neural network.

Cons:

There is no bad thing about this but initially it takes lot of time to understand it as it works on tensors instead of simple vector or array object. But once you learn this, it will be easy to write code.

Shalinee S.

Verified reviewer

201-500 employees

Used other for more than 2 years

Review source

Reviewed July 2018

Made the deep learning kids work

Best library for deep learning

Ratings Breakdown

Ease of use

Value for money

Customer support

Functionality

Pros:

This library is the best for deep learning. Designing neural network with this library is very easy. Also, it compute things very fast. It has made the visualization very easy. It has lots of built in features like conv2d network, lstm etc.

Cons:

It's the best thing to do stuff in deep learning but it require a long learning curve. But once you know how it works then it made your job very easy.

Verified

Reviewer

Financial Services

11-50 employees

Used daily for less than 12 months

Review source

Reviewed December 2018

Overhyped application

I use tensorflow for machine learning apps to find correlations in the market, but the app has let me down and I have since moved on to other libraries, as tensorFlow was simply to difficult to use.

Ratings Breakdown

Ease of use

Value for money

Customer support

Functionality

Pros:

Tensorflow is a good library for machine learning, but only for more experienced developpers.

Cons:

It is very hyped by the community, but has a teap learning curve and is hard to learn. So the app is not beginner friendly, but also is't the best library for high level machine learning.

Kevin P.

Verified reviewer

Internet

10000+ employees

Used weekly for less than 2 years

Review source

Reviewed September 2018

Deep learning is easy with TensorFlow

We use tensorflow LSTMs for sequence classification to mine patterns in log and customer behavior. In our use case, deep models decreased testing loss by 50% over a simple baseline.

Ratings Breakdown

Ease of use

Functionality

Pros:

Intuitive way to generate networks. Nice visualizations with tensorboard. Good documentation and tutorials. Large supportive community. Easily scaleable.

Cons:

Many of the error messages can be cryptic and difficult to use when debugging. Frequent errors caused by data type mismatches. It is not easy to iterate quickly with Tensor flow.

Sheikh A.

Verified reviewer

Electrical/ Electronic Manufacturing

11-50 employees

Used weekly for less than 2 years

Review source

Reviewed September 2019

Powerful tool for machine learning, AI or data science researchers

The depth of resources this tool provides makes it inseparable for a researcher of many sectors, at this era of AI.

Ratings Breakdown

Ease of use

Value for money

Customer support

Functionality

Pros:

GPU utilization helps the projects. TensorBoard is good for model visualization and performance analytics.

Cons:

Still requires specific hardware for specific versions. Compatibility with multiprocessing module is low, making it incompatible to combine with parts of codes running on CPU if multiprocessing is required.

Dr. Jayant J.

Verified reviewer

Education Management

201-500 employees

Used weekly for more than 2 years

Review source

Reviewed June 2019

Tensorflow is the best Deep Learning framework preferred by many industries

I have used tensorflow for development of some deep learning applications.

Ratings Breakdown

Ease of use

Value for money

Customer support

Functionality

Pros:

Tensorflow is preferred by many industries for developing deep learning architecture.

Cons:

Programming is little difficult with tensorflow

Sasitha P.

Verified reviewer

Information Technology and Services

2-10 employees

Used other for more than 2 years

Review source

Reviewed March 2019

Train models with lot of data

I used google ML engine to train a model with 1 million data. Normal computers not allow to train a model with that much of data.

Ratings Breakdown

Ease of use

Value for money

Functionality

Pros:

we can train models with lot of data which contain millions of data.

Cons:

not easy to learn using their documentations.

Shambhavi J.

Verified reviewer

Used other for less than 2 years

Review source

Reviewed July 2018

Writing deep learning algorithm is very easy -- very advance machine learning library

Ratings Breakdown

Ease of use

Value for money

Customer support

Functionality

Pros:

Implementing deep learning algorithm is very easy. It has lots of built in feature like conv2d, conv3d, lstm etc. which make ML work very easy and faster. Computationally, it is way faster that other ML libraries.

Cons:

It take time to learn about this. Understanding the tensor and other data type is non-trivial. But once you learn this it's very easy to use it .

Rashmi ..

Verified reviewer

Information Technology and Services

201-500 employees

Used other for less than 2 years

Review source

Reviewed January 2019

just use this for deep learning

a must use library for deep learning and ML

Ratings Breakdown

Ease of use

Value for money

Customer support

Functionality

Pros:

I think it's the best and most powerful ML and deep learning library available as of now. Tensor has lot and lots of support for deep learning algorithms. It comes with lot of inbuilt function which makes the thing easy for ML developer.

Cons:

Only cons about this is it's long learning curve.

Arwildo B.

Verified reviewer

Research

1001-5000 employees

Used daily for less than 6 months

Review source

Reviewed April 2019

The best powerfull libary for your neural network

I use Tensorflow to design my first code in machine learning to build an autopilot car game.

Ratings Breakdown

Ease of use

Value for money

Customer support

Functionality

Pros:

Tensorflow it's easy to set up and provides a simple way to start learning machine learning with a guides tutorial that comes with data that needed to train the algorithm.

Cons:

It does not available to a 32bit machine, you need 64bit.

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