Software Alternatives & Reviews

Appium VS TensorFlow

Compare Appium VS TensorFlow and see what are their differences

Appium logo Appium

Appium is an open source test automation framework for use with native and hybrid mobile apps.

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.
  • Appium Landing page
    Landing page //
    2023-09-19
  • TensorFlow Landing page
    Landing page //
    2023-06-19

Appium videos

Appium Architecture Explained | How Appium Works | Appium Online Training | Edureka

More videos:

  • Review - Jenkins CI Pipeline using Appium tests for Android and iOS by Vivek Upreti & Naresh Jain #AppiumConf
  • Review - The Xamarin Show | Episode 15: Appium Mobile Automation with Glenn Wester

TensorFlow videos

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)

Category Popularity

0-100% (relative to Appium and TensorFlow)
Automated Testing
100 100%
0% 0
Data Science And Machine Learning
Browser Testing
100 100%
0% 0
AI
0 0%
100% 100

User comments

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Reviews

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

Appium Reviews

Top 20 Best Automation Testing Tools in 2019 (Comprehensive List)
It supports automation of native, hybrid and mobile web applications built for iOS and Android. Appium uses vendor-provided automation frameworks and is based on client/server architecture.
Top 20 Best Automation Testing Tools in 2018 (Comprehensive List)
It supports automation of native, hybrid and mobile web applications built for iOS and Android. Appium uses vendor-provided automation frameworks and is based on client/server architecture.

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.
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...

Social recommendations and mentions

Based on our record, Appium should be more popular than TensorFlow. It has been mentiond 14 times since March 2021. 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.

Appium mentions (14)

  • Beginner’s Guide To Test Automation With Java (TestUI)
    TestUI combines 2 different paradigm test automation frameworks, i.e., mobile (Appium) and desktop (Selenide), into one neat framework. In our opinion, it’s a great framework that offers vast functionality with easy-to-learn syntax, not to mention full access to Selenide methods in case something tricky needs to be done. - Source: dev.to / over 1 year ago
  • Ussd automation
    Espresso is Google's general recommendation, but there are other tools out there that exist like appium or kaspresso. Sure there are more, just goigle it to see what else there is. Source: over 1 year ago
  • How do I automate android apps?
    Appium exists from that Selenium family. That will do the job. Https://appium.io/. Source: over 1 year ago
  • React vs React Native: How Different Are They, Really?
    End-to-end testing is completely different on React Native, however. None of the Selenium-based E2E testing tools will work; neither will newer tools like Cypress or Playwright. You may have expected this - these are all DOM-based, and there’s no DOM in React Native. So instead developers will have to learn Detox or Appium. - Source: dev.to / over 1 year ago
  • iOS App Testing Tutorial: Manual & Automation
    With iOS app testing, we test our iOS application on mobile devices (emulators or real devices, depending on the use case). Here, we pass it through various testing phases to ensure that the final version has minimum or no bugs. These can include manually inspecting the application like an end-user or running an automation framework like Appium or Testsigma. - Source: dev.to / over 1 year ago
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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 / about 1 year 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 2 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: almost 2 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 2 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 2 years ago
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What are some alternatives?

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

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.

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

Apache JMeter - Apache JMeter™.

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

Katalon - Built on the top of Selenium and Appium, Katalon Studio is a free and powerful automated testing tool for web testing, mobile testing, and API testing.

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