Software Alternatives, Accelerators & Startups

puppeteer VS TensorFlow

Compare puppeteer VS TensorFlow and see what are their differences

Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

puppeteer logo puppeteer

Puppeteer is a Node library which provides a high-level API to control headless Chrome or Chromium...

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.
  • puppeteer Landing page
    Landing page //
    2023-08-02
  • TensorFlow Landing page
    Landing page //
    2023-06-19

puppeteer features and specs

  • Headless Browsing
    Puppeteer allows headless browsing, which means you can automate and test web applications without opening a browser user interface, resulting in faster execution and lower resource usage.
  • Full Browser Control
    Enables full control over Chrome or Chromium browsers, allowing for comprehensive browser testing and automation, including taking screenshots, generating PDFs, and capturing web pages.
  • Rich API
    Offers a rich set of APIs that can control browsers, manage cookies, intercept network requests, and handle various browser events, making it versatile for different use cases.
  • Active Community
    Highly active open-source community with regular updates and a plethora of plugins and extensions, providing robust support and continuous improvements.
  • Compatibility
    Supports the latest JavaScript features and works seamlessly with popular libraries and frameworks, providing a modern development experience.

Possible disadvantages of puppeteer

  • Restricted to Chrome/Chromium
    Puppeteer is primarily designed to work with Chrome and Chromium browsers, limiting cross-browser testing capabilities compared to other tools that support multiple browsers.
  • Resource Intensive
    Running multiple instances of headless browsers can be resource-intensive in terms of CPU and memory usage, potentially affecting performance on limited hardware.
  • Learning Curve
    Requires some learning curve for developers unfamiliar with browser automation or the Puppeteer API, making initial setup and usage potentially time-consuming.
  • Lacks JavaScript Redaction
    Unlike some other tools, Puppeteer does not natively support JavaScript error redaction, which means developers must manage error handling and debugging themselves.
  • Not Ideal for GUI Tests
    Since Puppeteer is headless by default, it might not be ideal for GUI end-to-end tests that require visual validation, requiring additional tools or configurations to enable full browser displays.

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.

Analysis of puppeteer

Overall verdict

  • Puppeteer is considered a strong choice for developers seeking a robust and efficient way to automate browser tasks. It is particularly favored in situations where headless browser actions are required due to its rich feature set and its solid support from both the community and its active development team. However, it may not be the best choice for those looking for cross-browser testing since it focuses specifically on Chrome or Chromium.

Why this product is good

  • Puppeteer is a Node.js library that provides a high-level API to control headless Chrome or Chromium browsers. It is widely appreciated for its speed, reliability, and comprehensive feature set that makes it easy to automate tasks like web scraping, automated testing, and taking screenshots. Users benefit from the ability to programmatically control browser actions, which can be useful for testing user interactions and rendering dynamic content.

Recommended for

  • Web scraping projects that need to render dynamic web pages or deal with JavaScript-heavy sites.
  • Automated testing scenarios that involve simulating user interactions and verifying UI changes.
  • Performance analysis and monitoring of JavaScript execution in a controlled environment.
  • Developers who need to generate PDFs or capture screenshots from web pages programmatically.

puppeteer videos

Puppeteer - Video Review

More videos:

  • Review - GameSpot Reviews - Puppeteer
  • Review - CGR Undertow - PUPPETEER review for PlayStation 3

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 puppeteer 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

Share your experience with using puppeteer and TensorFlow. For example, how are they different and which one is better?
Log in or Post with

Reviews

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

puppeteer Reviews

Top Selenium Alternatives
Puppeteer offers more direct and tighter integration with Chrome or Chromium through the DevTools Protocol, unlike Selenium which abstracts the browser interaction through WebDriver, making it more versatile across different browsers but potentially less optimized for specific browser internals like those Puppeteer accesses in Chrome.
Source: bugbug.io
Best Data Scraping Tools
It is completely free. Puppeteer is well backed and supported by Google Chrome and hence replacing Selenium and PhantomJS. It automatically installs an efficient, compatible Chromium binary in its setup, therefore reducing the burden of keeping track on your browser.
Puppeteer vs Selenium
If you're looking for a better alternative, try Endtest. It has Puppeteer's speed, it supports Selenium's browsers AND it has all the features that they're missing.
Source: dev.to
Introduction to Headless Browser Testing
The Puppeteer API can be used to take screenshots, create PDFs, navigate pages, and fetch information from pages. We’ll write some example code to see Puppeteer in action.

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, puppeteer seems to be a lot more popular than TensorFlow. While we know about 106 links to puppeteer, we've tracked only 7 mentions of 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.

puppeteer mentions (106)

  • Top React Testing Libraries in 2025
    Puppeteer is a headless browser automation tool built on Chromium. It allows developers to simulate user interactions, capture screenshots, and perform UI tests with a high degree of accuracy. Puppeteer is particularly useful for testing cross-browser compatibility and visual elements in React applications. Its robust API enables precise control over browser actions, making it a valuable tool for UI testing and... - Source: dev.to / 2 months ago
  • End-to-End SEO Testing with Playwright and Lighthouse
    Vitest is a next-generation JavaScript testing framework powered by Vite. It’s an excellent alternative to Jest, offering native TypeScript support, a fast setup, and solid performance. However, while it has an experimental headless browser, it’s not ideal for advanced scenarios like running SEO audits in CI/CD pipelines. Instead, we can pair Vitest with Pupetter, a more mature tool for headless browser automation. - Source: dev.to / 3 months ago
  • The Puppeteer Language Experiment
    This project tests how the browser language can be changed with Puppeteer. It implements multiple options to set the language of Chrome and checks each option against BrowserLeaks to see how it affected the JavaScript proeprties and HTTP headers available by the browser. For more information, see my article The Puppeteer Language Experiment on DEV.to. - Source: dev.to / about 1 year ago
  • Scrapy Vs. Crawlee
    In Crawlee, you can scrape JavaScript rendered websites using the built-in headless Puppeteer and Playwright browsers. It is important to note that, by default, Crawlee scrapes in headless mode. If you don't want headless, then just set headless: false. - Source: dev.to / about 1 year ago
  • Sometimes things simply don't work
    I am not in any way associated with the developers at puppeteer, but if you are looking for a way to contribute, they are open source. - Source: dev.to / about 1 year ago
View more

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
View more

What are some alternatives?

When comparing puppeteer 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...

Cypress.io - Slow, difficult and unreliable testing for anything that runs in a browser. Install Cypress in seconds and take the pain out of front-end testing.

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

Playwright - Playwright is automation software for Chromium, Firefox, Webkit using the Node.js library having a single API in place.

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