10+ TensorFlow Alternatives and Competitors
Table of Content
TensorFlow
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 | Rating | CEO | Pricing | Founded | Revenue | Employees | Location | Reviews | Customers |
|---|---|---|---|---|---|---|---|---|---|---|
| | Manthan Artificial Intelligence | 4.3 | Atul Jalan | Custom | 2003 | $92 M | 500+ | Bangalore | 3400+ Reviews | N/A |
| | Rainbird | 4.4 | Anthony LaFetra | Custom | 1933 | $620 M | 1656+ | Azusa | 2300+ Reviews | N/A |
| | Infosys NIA | 4.6 | Atul Soneja | Custom | 1981 | $210.2 M | 2800+ | Bangalore | 2800+ Reviews | 1000000000+ |
| | Wipro HOLMES | 4.4 | Rohit Adlakha | Custom | 2016 | $50 M | 30000+ | Bangalore | 4500+ Reviews | N/A |
| | Amazon SageMaker | 4.5 | Andy Jassy | $0.10 | 1994 | N/A | 10000+ | Seattle | 3000+ Reviews | 250000+ |
| | CVViZ | 4.5 | Amit Gawande | $29 | 2016 | N/A | 50+ | Mumbai | 3450+ Reviews | N/A |
| | Salesforce Einstein | 4.6 | Bob Stutz | $25 | 1999 | N/A | 49000+ | San Francisco | 3790+ Reviews | N/A |
| | Microsoft Azure AI | 4.5 | Satya Nadella | $ 931 | 2010 | N/A | 5000+ | Colorado | 3500+ Reviews | 229111+ |
| | Google AI | 4.7 | Sundar Pichai | Custom | 2017 | N/A | 1000+ | Mountain View | 1654+ Reviews | 12995+ |
| | IBM Watson | 4.8 | Thomas J. Watson | Custom | 2014 | $5.7 B | 6500+ | New York | 1757+ Reviews | 26667+ |
Contact Info
| Website | Phone | ||||
|---|---|---|---|---|---|
| www.tensorflow.org/ | N/A | N/A | twitter.com/tensorflow | www.facebook.com/TensorflowX | www.linkedin.com/learning/topics/tensorflow |
Key Employees
| Image | Name | Designation | Email ID | ||
|---|---|---|---|---|---|
| | Harshit Rai | Software Engineer | N/A | N/A | https://in.linkedin.com/in/rai-harshit |
| | Sharan Ramjee | CS & ML | N/A | N/A | https://www.linkedin.com/in/sharanramjee |
| | Derryl Kevin Monis | Data Science Enthusiast | N/A | N/A | https://in.linkedin.com/in/derryl-kevin-monis-337a16110 |
Reviews
“ Awesome ”
4.5/5 (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 ” ”
4.4/5 (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 ”
4.3/5 (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 Integration
- 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
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.
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.
What is TensorFlow Lite?
TensorFlow Lite allows the conversion of TensorFlow tools to work in embedded, mobile, and IoT devices.
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.
Alternatives
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Manthan Artificial Intelligence
View Details -
Rainbird
View Details -
Infosys NIA
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Wipro HOLMES
View Details -
Amazon SageMaker
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CVViZ
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Salesforce Einstein
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Microsoft Azure AI
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Google AI
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