Software Alternatives & Reviews

Appium VS Keras

Compare Appium VS Keras 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.

Keras logo Keras

Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
  • Appium Landing page
    Landing page //
    2023-09-19
  • Keras Landing page
    Landing page //
    2023-10-16

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

Keras videos

3. Deep Learning Tutorial (Tensorflow2.0, Keras & Python) - Movie Review Classification

More videos:

  • Review - Movie Review Classifier in Keras | Deep Learning | Binary Classifier
  • Review - EKOR KERAS!! Review and Bike Check DARTMOOR HORNET 2018 // MTB Indonesia

Category Popularity

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

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.

Keras Reviews

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
15 data science tools to consider using in 2021
Keras is a programming interface that enables data scientists to more easily access and use the TensorFlow machine learning platform. It's an open source deep learning API and framework written in Python that runs on top of TensorFlow and is now integrated into that platform. Keras previously supported multiple back ends but was tied exclusively to TensorFlow starting with...

Social recommendations and mentions

Based on our record, Keras should be more popular than Appium. It has been mentiond 31 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
View more

Keras mentions (31)

  • My Favorite DevTools to Build AI/ML Applications!
    As a beginner, I was looking for something simple and flexible for developing deep learning models and that is when I found Keras. Many AI/ML professionals appreciate Keras for its simplicity and efficiency in prototyping and developing deep learning models, making it a preferred choice, especially for beginners and for projects requiring rapid development. - Source: dev.to / 10 days ago
  • Getting Started with Gemma Models
    After setting the variables for the environment, the next step is to install dependencies. To use Gemma, KerasNLP is the dependency used. KerasNLP is a collection of natural language processing (NLP) models implemented in Keras and runnable on JAX, PyTorch, and TensorFlow. - Source: dev.to / 19 days ago
  • How popular are libraries in each technology
    Other popular machine learning tools include PyTorch, Keras, and Scikit-learn. PyTorch is an open-source machine learning library developed by Facebook that is known for its ease of use and flexibility. Keras is a high-level neural networks API that is written in Python and is known for its simplicity. Scikit-learn is a machine learning library for Python that is used for data analysis and data mining tasks. - Source: dev.to / 11 months ago
  • Official Question Thread! Ask /r/photography anything you want to know about photography or cameras! Don't be shy! Newbies welcome!
    I'm not aware of anything off-the-shelf, but if you have sufficient programming experience, one way to do this would be to build a large dataset of reference images and pictures and use something like keras to train a convolutional neural network on them. Source: 12 months ago
  • How to query pandas DataFrames with SQL
    Pandas comes with many complex tabular data operations. And, since it exists in a Python environment, it can be coupled with lots of other powerful libraries, such as Requests (for connecting to other APIs), Matplotlib (for plotting data), Keras (for training machine learning models), and many more. - Source: dev.to / over 1 year ago
View more

What are some alternatives?

When comparing Appium and Keras, 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.

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.

Apache JMeter - Apache JMeter™.

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

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.

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