Top 10 TensorFlow Alternatives & Competitors

Top 10 Alternatives to TensorFlow Recently Reviewed By G2 Community

#1

MATLAB
By MathWorks
(729)4.5 out of 5
MATLAB is a programming, modeling and simulation tool developed by MathWorks.
Categories in common with TensorFlow:
• Data Science and Machine Learning Platforms
Reviewers say compared to TensorFlow, MATLAB is:
Slower to reach roi
More expensive
Easier to set up
See all MATLAB reviews
#2

Vertex AI
By Google
(511)4.3 out of 5
Vertex AI is a managed machine learning (ML) platform that helps you build, train, and deploy ML models faster and easier. It includes a unified UI for the entire ML workflow, as well as a variety of tools and services to help you with every step of the process. Vertex AI Workbench is a cloud-based IDE that is included with Vertex AI. It makes it easy to develop and debug ML code. It provides a variety of features to help you with your ML workflow, such as code completion, linting, and debugging. Vertex AI and Vertex AI Workbench are a powerful combination that can help you accelerate your ML development. With Vertex AI, you can focus on building and training your models, while Vertex AI Workbench takes care of the rest. This frees you up to be more productive and creative, and it helps you get your models into production faster. If you're looking for a powerful and easy-to-use ML platform, then Vertex AI is a great option. With Vertex AI, you can build, train, and deploy ML models faster and easier than ever before.
Categories in common with TensorFlow:
• Data Science and Machine Learning Platforms
Try for free
Reviewers say compared to TensorFlow, Vertex AI is:
More expensive
More usable
Easier to set up
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#3

IBM Watson Studio
By IBM
(163)4.2 out of 5
IBM Watson Studio accelerates the machine and deep learning workflows required to infuse AI into your business to drive innovation. It provides a suite of tools for data scientists, application developers and subject matter experts to collaboratively and easily work with data and use that data to build, train and deploy models at scale.
Categories in common with TensorFlow:
• Data Science and Machine Learning Platforms
Reviewers say compared to TensorFlow, IBM Watson Studio is:
Slower to reach roi
More expensive
More usable
See all IBM Watson Studio reviews
#4

Azure Machine Learning
By Microsoft
(87)4.3 out of 5
Azure Machine Learning Studio is a GUI-based integrated development environment for constructing and operationalizing Machine Learning workflow on Azure.
Categories in common with TensorFlow:
• Data Science and Machine Learning Platforms
Reviewers say compared to TensorFlow, Azure Machine Learning is:
More expensive
More usable
Easier to set up
See all Azure Machine Learning reviews
#5

Amazon SageMaker
By Amazon Web Services (AWS)
(39)4.2 out of 5
Amazon SageMaker is a fully-managed service that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. Amazon SageMaker removes all the barriers that typically slow down developers who want to use machine learning.
Categories in common with TensorFlow:
• Data Science and Machine Learning Platforms
Reviewers say compared to TensorFlow, Amazon SageMaker is:
Slower to reach roi
More expensive
Easier to do business with
See all Amazon SageMaker reviews
#6

Altair AI Studio
By Altair
(497)4.6 out of 5
RapidMiner is a powerful, easy to use and intuitive graphical user interface for the design of analytic processes. Let the Wisdom of Crowds and recommendations from the RapidMiner community guide your way. And you can easily reuse your R and Python code.
Categories in common with TensorFlow:
• Data Science and Machine Learning Platforms
Get a quote
Reviewers say compared to TensorFlow, Altair AI Studio is:
More expensive
Easier to set up
More usable
See all Altair AI Studio reviews
#7

Google Cloud AutoML
By Google
(22)4.1 out of 5
Cloud AutoML is a suite of machine learning products that enables developers with limited machine learning expertise to train high-quality models specific to their business needs, by leveraging Google's state-of-the-art transfer learning, and Neural Architecture Search technology
Categories in common with TensorFlow:
• Data Science and Machine Learning Platforms
Reviewers say compared to TensorFlow, Google Cloud AutoML is:
More expensive
More usable
Easier to admin
See all Google Cloud AutoML reviews
#8

Anaconda
By Anaconda, Inc.
(126)4.6 out of 5
Anaconda helps organizations harness data science, machine learning, and AI at the pace demanded by today's digital interactions. Anaconda Enterprise combines core AI technologies, governance, and cloud-native architecture. Each piece—core AI, governance, and cloud nativere critical components to enabling organizations to automate AI at speed and scale.
Categories in common with TensorFlow:
• Data Science and Machine Learning Platforms
Get a quote
Reviewers say compared to TensorFlow, Anaconda is:
Easier to admin
More usable
Easier to do business with
See all Anaconda reviews
#9

Alteryx
By Alteryx
(625)4.6 out of 5
Alteryx drives transformational business outcomes through unified analytics, data science, and process automation.
Categories in common with TensorFlow:
• Data Science and Machine Learning Platforms
Try for free
Reviewers say compared to TensorFlow, Alteryx is:
More expensive
Slower to reach roi
More usable
See all Alteryx reviews
#10

Posit
By Posit
(554)4.5 out of 5
In addition to our open-source data science software, RStudio produces RStudio Team, a unique, modular platform of enterprise-ready professional software products that enable teams to adopt R, Python, and other open-source data science software at scale.
Categories in common with TensorFlow:
• Data Science and Machine Learning Platforms
Reviewers say compared to TensorFlow, Posit is:
Easier to set up
More usable
Easier to admin
See all Posit reviews