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TensorFlow VS BrowserStack

Compare TensorFlow VS BrowserStack and see what are their differences

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TensorFlow logo TensorFlow

TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.

BrowserStack logo BrowserStack

BrowserStack is a software testing platform for developers to comprehensively test websites and mobile applications for quality.
  • TensorFlow Landing page
    Landing page //
    2023-06-19
  • BrowserStack Landing page
    Landing page //
    2025-05-06

BrowserStack is a leading software testing platform powering over two million tests every day across 15 global data centers. With BrowserStack, developers can comprehensively test their websites and mobile applications across 2,000+ real mobile devices and browsers in a single cloud platform—and at scale. BrowserStack helps Tesco, Shell, NVIDIA, Discovery, Wells Fargo, and over 50,000 customers deliver quality software at speed.

TensorFlow

Website
tensorflow.org
Pricing URL
-
$ Details
Platforms
-
Release Date
-
Edit details

BrowserStack

Website
browserstack.com
Pricing URL
Official BrowserStack Pricing
$ Details
freemium $29.0 / Monthly (Starts at single user plans and billed annually)
Platforms
Mac OSX Android Windows Browser Web iOS Google Chrome Firefox Safari REST API Internet Explorer
Release Date
2012 September
Startup details
Country
Ireland
State
Dublin
City
Dublin
Founder(s)
Nakul Aggarwal
Employees
500 - 999
Edit details

TensorFlow features and specs

  • Comprehensive Ecosystem
    TensorFlow offers a complete ecosystem for end-to-end machine learning, covering everything from data preprocessing, model building, training, and deployment to production.
  • Community and Support
    TensorFlow boasts a large and active community, as well as extensive documentation and tutorials, making it easier for beginners to learn and experts to get help.
  • Flexibility
    TensorFlow supports a wide range of platforms such as CPUs, GPUs, TPUs, mobile devices, and embedded systems, providing flexibility depending on the user's needs.
  • Integrations
    TensorFlow integrates well with other Google products and services, including Google Cloud, facilitating seamless deployment and scaling.
  • Versatility
    TensorFlow can be used for a wide range of applications from simple neural networks to more complex projects, including deep learning and artificial intelligence research.

Possible disadvantages of TensorFlow

  • Complexity
    TensorFlow can be challenging to learn due to its complexity and the steep learning curve, particularly for beginners.
  • Performance Overhead
    Although TensorFlow is powerful, it can sometimes exhibit performance overhead compared to other, lighter frameworks, leading to longer training times.
  • Verbose Syntax
    The code in TensorFlow tends to be more verbose and less intuitive, which can make writing and debugging code more cumbersome relative to other frameworks like PyTorch.
  • Compatibility Issues
    Frequent updates and changes can lead to compatibility issues, requiring significant effort to keep libraries and dependencies up to date.
  • Mobile Deployment
    While TensorFlow supports mobile deployment, it is less optimized for mobile platforms compared to some other specialized frameworks, leading to potential performance drawbacks.

BrowserStack features and specs

  • Cloud-based
  • Browser Extensions
  • SaaS

Analysis of BrowserStack

Overall verdict

  • Overall, BrowserStack is considered a highly effective and reliable tool in the web development and testing community. Its extensive features, real-device testing capabilities, and seamless integration make it a good choice for those needing comprehensive cross-browser testing solutions.

Why this product is good

  • BrowserStack is a robust and widely used web testing platform that provides developers with the ability to test their websites and applications across a vast array of browsers and devices. It offers real device cloud testing, ensuring that users can assess how their applications perform on actual devices rather than simulations. This makes it an invaluable tool for identifying and resolving cross-browser compatibility issues. Additionally, it integrates with popular CI/CD tools, enhancing the workflow efficiency for development teams.

Recommended for

  • Web developers
  • QA engineers
  • Agile development teams
  • Companies needing cross-browser testing across multiple devices
  • Teams looking for CI/CD integration in their testing process

TensorFlow videos

+ Add

What is Tensorflow? - Learn Tensorflow for Machine Learning and Neural Networks

More videos:

  • Tutorial - TensorFlow In 10 Minutes | TensorFlow Tutorial For Beginners | Deep Learning & TensorFlow | Edureka
  • Review - TensorFlow in 5 Minutes (tutorial)

BrowserStack videos

+ Add

BrowserStack Overview

More videos:

  • Tutorial - SpeedLab by BrowserStack
  • Review - SharePoint Team Finds BrowserStack Invaluable

Category Popularity

0-100% (relative to TensorFlow and BrowserStack)

TensorFlow

BrowserStack

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Website Testing
0 0%
Website Testing
100% 100
AI
100 100%
AI
0% 0
Browser Testing
0 0%
Browser Testing
100% 100

User comments

Share your experience with using TensorFlow and BrowserStack. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare TensorFlow and BrowserStack

TensorFlow Reviews

7 Best Computer Vision Development Libraries in 2024
From the widespread adoption of OpenCV with its extensive algorithmic support to TensorFlow's role in machine learning-driven applications, these libraries play a vital role in real-world applications such as object detection, facial recognition, and image segmentation.
Source: www.labellerr.com
10 Python Libraries for Computer Vision
TensorFlow and Keras are widely used libraries for machine learning, but they also offer excellent support for computer vision tasks. TensorFlow provides pre-trained models like Inception and ResNet for image classification, while Keras simplifies the process of building, training, and evaluating deep learning models.
Source: clouddevs.com
25 Python Frameworks to Master
Keras is a high-level deep-learning framework capable of running on top of TensorFlow, Theano, and CNTK. It was developed by François Chollet in 2015 and is designed to provide a simple and user-friendly interface for building and training deep learning models.
Source: kinsta.com
Top 8 Alternatives to OpenCV for Computer Vision and Image Processing
TensorFlow is an open-source software library for dataflow and differentiable programming across a range of tasks such as machine learning, computer vision, and natural language processing. It provides excellent support for deep learning models and is widely used in several industries. TensorFlow offers several pre-trained models for image classification, object detection,...
Source: www.uubyte.com
PyTorch vs TensorFlow in 2022
There are a couple of notable exceptions to this rule, the most notable being that those in Reinforcement Learning should consider using TensorFlow. TensorFlow has a native Agents library for Reinforcement Learning, and Deepmind’s Acme framework is implemented in TensorFlow. OpenAI’s Baselines model repository is also implemented in TensorFlow, although OpenAI’s Gym can be...
Source: www.assemblyai.com

BrowserStack Reviews

Top Selenium Alternatives
BrowserStack is another leading cloud-based testing platform that offers access to a vast array of browsers and real mobile devices. It's designed to simplify the testing process by allowing tests to run in parallel across different environments, significantly reducing the time needed for comprehensive testing. BrowserStack features include live, interactive testing,...
Source: bugbug.io
Why choose HeadSpin over BrowserStack?
Companies like HeadSpin and BrowserStack play a significant role in fulfilling the demand for testing on real devices and cross-browser devices. Their ability to test on real devices online and monitor digital experiences adds to the value proposition of organizations implementing testing solutions. However, every company has different requirements and here are a few reasons...
Source: www.headspin.io

Social recommendations and mentions

BrowserStack might be a bit more popular than TensorFlow. We know about 8 links to it since March 2021 and only 7 links to TensorFlow. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

TensorFlow mentions (7)

  • Creating Image Frames from Videos for Deep Learning Models
    Converting the images to a tensor: Deep learning models work with tensors, so the images should be converted to tensors. This can be done using the to_tensor function from the PyTorch library or convert_to_tensor from the Tensorflow library. - Source: dev.to / over 2 years ago
  • Need help with a Tensorflow function
    So I went to tensorflow.org to find some function that can generate a CSR representation of a matrix, and I found this function https://www.tensorflow.org/api_docs/python/tf/raw_ops/DenseToCSRSparseMatrix. Source: almost 3 years ago
  • Help: Slow performance with windows 10 compared to Ubuntu 20.04 with TF2.7
    Can anyone offer up an explanation for why there is a performance difference, and if possible, what could be done to fix it. I'm using the installation guidelines found on tensorflow.org and installing tf2.7 through pip using an anaconda3 env. Source: about 3 years ago
  • [Question] What are the best tutorials and resources for implementing NLP techniques on TensorFlow?
    I don't have much experience with TensorFlow, but I'd recommend starting with TensorFlow.org. Source: about 3 years ago
  • [Question] What are the best tutorials and resources for implementing NLP techniques on TensorFlow?
    I have looked at this TensorFlow website and TensorFlow.org and some of the examples are written by others, and it seems that I am stuck in RNNs. What is the best way to install TensorFlow, to follow the documentation and learn the methods in RNNs in Python? Is there a good tutorial/resource? Source: about 3 years ago
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BrowserStack mentions (8)

  • Show HN: Quell – AI QA Agent Working Across Linear, Vercel, Jira, Netlify, Figma
    This is pretty cool - the Jira/Linear integration could save a ton of manual work. How do you handle test data setup and teardown? That's usually where these workflows get messy. For alternatives in this space, there's qawolf (https://qawolf.com) for similar automated testing workflows, or I'm actually building bug0 (https://bug0.com) which also does AI-powered test automation, still in beta. For the more... - Source: Hacker News / 15 days ago
  • 🛑 Stop resizing your browser: improve testing for responsiveness
    Platforms like Browserstack or SauceLabs offer virtual instances of real devices and browsers for manual and end-to-end testing. Caveat: subscriptions cost money and are on a per-seat basis. - Source: dev.to / about 1 year ago
  • Unsupported country
    If you go to browserstack.com (a website to test other websites) you can probably to the chatgpt url and sign up there. Source: over 2 years ago
  • Windows vs Mac?
    For testing on Mac or iOS, use browserstack.com, you'll spend considerably less using that than you would buying the actual hardware. Source: over 2 years ago
  • Free methods for testing websites/apps across devices?
    I've seen subscription services such as browserstack.com and lambdatest.com but I believe they cost to get the full range of mac browsers and devices. Source: over 2 years ago
View more

What are some alternatives?

When comparing TensorFlow and BrowserStack, you can also consider the following products

PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...

LambdaTest - Perform Web Testing on 2000+ Browsers & OS

Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.

Sauce Labs - Test mobile or web apps instantly across 700+ browser/OS/device platform combinations - without infrastructure setup.

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

Selenium - Selenium automates browsers. That's it! What you do with that power is entirely up to you. Primarily, it is for automating web applications for testing purposes, but is certainly not limited to just that.

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