10+ TensorFlow Alternatives and Competitors

TensorFlow

8.9 User Rating
$5 M Revenue
35+ No of Employees
2015 Founded
SaaS Industry
Artificial Intelligence Software Category
Topher White CEO
Overview

TensorFlow is an open-source software library made by the researchers and developers of the Google Brain Team as an internal utility for Google’s AI organization. It was released initially in November 2015. It aims to encourage contribution and cooperation among researchers and make machine learning accessible to a wide audience.

Alternatives

Logo Name Sort Rating Sort CEO Pricing Sort Founded Sort Revenue Sort Employees Sort Location Sort Reviews Sort Customers Sort
IBM Watson IBM Watson 9.6 Thomas J. Watson N/A 2014 $5.7 B
6,500+
New York 1757+ Reviews
26.7K +
Google AI Google AI 9.5 Sundar Pichai N/A 2017 N/A 1,000+
Mountain View 1654+ Reviews
13K +
Microsoft Azure AI Microsoft Azure AI 9.3 Satya Nadella $931 2010 N/A 5,000+
Colorado 3500+ Reviews
229.1K +
Infosys NIA Infosys NIA 9.2 Atul Soneja N/A 1981 $210.2 M
2,800+
Bangalore 4000+ Reviews
1B +
Salesforce Einstein Salesforce Einstein 9.2 Bob Stutz $25 1999 $57.2 M
49,000+
San Francisco 3790+ Reviews
N/A
CVViZ CVViZ 9.1 Amit Gawande $29 2016 N/A 50+
Mumbai
3450+ Reviews
N/A
Amazon SageMaker Amazon SageMaker 9 Andy Jassy $0.10 1994 N/A 10,000+
Seattle 3000+ Reviews
250K +
TensorFlow TensorFlow 8.9 Topher White N/A 2015 $5 M
35+
San Francisco 3400+ Reviews
N/A
Wipro HOLMES Wipro HOLMES 8.9 Rohit Adlakha N/A 2016 $50 M
30,000+
Bangalore 4500+ Reviews
N/A
Rainbird Rainbird 8.8 Anthony LaFetra N/A 1933
$620 M
1,656+
Azusa
2300+ Reviews
N/A

Key Employees

ImageNameDesignationLinkedin
Harshit RaiHarshit RaiSoftware Engineerhttps://in.linkedin.com/in/rai-harshit
Sharan RamjeeSharan RamjeeCS & MLhttps://www.linkedin.com/in/sharanramjee
Derryl Kevin MonisDerryl Kevin MonisData Science Enthusiasthttps://in.linkedin.com/in/derryl-kevin-monis-337a16110

Reviews

“ Awesome ”

9/10 (overall) - Izuchukwu U
Pros
  • TensorFlow is fairly easy to use, with adequate tutorials to get any user started quickly.
  • Tooling around TensorFlow, such as TensorBoard, is a gold standard: it has made the training and debugging process so much easier compared to most other deep learning platforms.
Cons
  • Prior to TensorFlow 2.0, setting up data ingestion for TensorFlow can be a huge pain. So much so that TensorFlow Lite and alternatives such as Keras make it more palatable. Things are changing with TensorFlow 2.0 though.
  • Some error messages from TensorFlow can be quite difficult to understand. For instance, a recent error using the dot product layer in TensorFlow 2.0 made it seem like there was a problem with data ingestion, but by downgrading to TensorFlow 1.14.0, the problem disappears.

“ It is easy to use ”

8.5/10 (overall) - Aanu B
Pros
  • Support for many libraries and programming languages.
  • Ability to use GPU and TPU – hence faster execution.
Cons
  • Graphic interface to create layers can help beginners.
  • Detailed tutorials on what goes behind the scenes in each layer. Currently, the tutorials don’t focus on that.

“ Learning Curve ”

7.5/10 (overall) - Andrew C
Pros
  • Low effort in getting started in development, hence ease of learning.
  • Detailed and more functional implementation of various algorithms.
Cons
  • Better support to integrate with files on the cloud.
  • Performance issues on a low scale system.

Features

  • Access Control
  • Analytics
  • API
  • Accounting Intergration
  • Agile Software Development
  • Application Integration
  • Assessment Management
  • Assignment Management
  • Automated Billing
  • Business Intelligence
  • CRM Integration
  • Campaign Analysis
  • Collaboration Tools
  • Collaborative Workspace
  • Team Collaboration

Images & Videos

Q & A

Q. What’s the pricing method for TensorFlow?

There’s none. It’s open-source and is, therefore, free to use and download. There’s no charge needed for commercial use as well. However, TensorFlow encourages external researchers and developers to contribute code and improvements. Their site indicates a detailed instruction on how to make one.

Q. Does TensorFlow only run on Python?

No, it doesn’t only run Python. It also accommodates other languages such as JavaScript, C++, TypeScript, HTML, and Jupyter Notebook.

Q. What is TensorFlow Lite?

TensorFlow Lite allows the conversion of TensorFlow tools to work in embedded, mobile, and IoT devices.

Q. Is every TensorFlow operation available in TensorFlow Lite?

Unfortunately, no. TensorFlow Lite can’t have all the operations of the standard program to keep it agile in compact systems. TensorFlow’s website offers a comprehensive compatibility guide. This helps users get access to an updated list of activities that the lite version supports. Be sure to visit their site for more detailed information.