Software Alternatives, Accelerators & Startups

Plotly VS Playwright

Compare Plotly VS Playwright 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.

Plotly logo Plotly

Low-Code Data Apps

Playwright logo Playwright

Playwright is automation software for Chromium, Firefox, Webkit using the Node.js library having a single API in place.
  • Plotly Landing page
    Landing page //
    2023-07-31
  • Playwright Landing page
    Landing page //
    2023-06-22

Plotly features and specs

  • Interactivity
    Plotly offers highly interactive plots that allow users to pan, zoom, and hover over data points for more information. This enhances the user experience and provides deeper insights.
  • High-quality visualizations
    It provides aesthetically pleasing and highly customizable charts, making it suitable for publication-quality visuals.
  • Versatility
    Plotly supports multiple chart types including line charts, scatter plots, bar charts, and 3D plots, making it suitable for a wide range of applications.
  • Python integration
    Plotly is well-integrated with Python and works seamlessly with other popular data science libraries like Pandas, NumPy, and Scikit-learn.
  • Web-based
    The plots can be easily embedded in web applications or dashboards, making it ideal for sharing insights over the internet.
  • Open-source
    Plotly offers an open-source version, which allows users to create and share visualizations without any cost.

Possible disadvantages of Plotly

  • Performance
    Rendering very large datasets can sometimes be slow, which may not be suitable for real-time data visualization requirements.
  • Learning curve
    Even though the library is well-documented, the extensive range of features can have a steep learning curve for beginners.
  • Cost for advanced features
    While the basic functionality is free, more advanced features, such as export to certain formats and additional customizable options, require a paid subscription.
  • Dependency management
    Plotly has a number of dependencies that need to be managed properly, which can sometimes complicate the setup process.
  • Complexity
    For simple visualizations, Plotly might be overkill and simpler libraries like Matplotlib or Seaborn could be more appropriate.

Playwright features and specs

  • Cross-Browser Testing
    Playwright supports testing on Chromium, Firefox, and WebKit, providing comprehensive coverage across different browsers, thus ensuring greater compatibility and a wider test reach.
  • Auto-Wait Mechanism
    Playwright automatically waits for elements to be actionable before performing interactions, reducing the need for explicit wait commands and helping to make tests more reliable and less flaky.
  • Headless Testing
    Playwright supports headless mode for all browsers, which allows for faster test execution and reduced resource consumption, making it ideal for continuous integration systems.
  • Context Isolation
    Playwright introduces the concept of browser contexts, which allows for isolated execution environments within a single browser instance. This enables parallel testing with reduced overhead.
  • Extensive API
    Playwright offers a wide range of APIs that cover user interactions, network interception, and browser automation, providing developers with powerful tools to create robust tests.
  • Network Interception
    Playwright can intercept and modify network requests and responses, allowing for advanced testing scenarios such as mocking APIs and simulating different network conditions.
  • Strong Documentation
    Playwright provides thorough and detailed documentation, making it easier for developers to learn and effectively utilize the framework.
  • Rich Debugging Features
    The framework includes features like verbose logging and debugging capabilities, which facilitate easier troubleshooting and quicker resolution of issues.
  • Support for Multiple Languages
    Playwright supports multiple programming languages, including JavaScript, TypeScript, Python, C#, and Java, offering flexibility to developers based on their preference.
  • Community and Support
    The Playwright project has an active community and regular updates, ensuring continuous improvement and access to support from both the community and the development team.

Possible disadvantages of Playwright

  • Steeper Learning Curve
    Due to its extensive capabilities and API, Playwright might have a steeper learning curve for beginners compared to some simpler testing tools.
  • Performance Overhead
    While Playwright aims to be efficient, its feature-rich nature can sometimes introduce performance overhead, particularly for complex test suites.
  • Evolving Ecosystem
    The relatively rapid development and updates can occasionally lead to breaking changes, requiring teams to frequently update their test scripts.
  • Less Mature Ecosystem
    Compared to more established tools like Selenium, Playwright's ecosystem is still maturing, which may result in fewer third-party plugins and integrations.
  • Limited Browser Versions
    Playwright's focus on modern browsers and web standards might make it difficult to test older browser versions or niche browsers, potentially limiting test coverage for legacy systems.
  • Resource Intensive
    Running multiple browser contexts and handling extensive network interception can be resource-intensive, requiring more powerful hardware or cloud resources for large test suites.

Plotly videos

Create Real-time Chart with Javascript | Plotly.js Tutorial

More videos:

  • Review - Introducing plotly.py 3.0
  • Review - Is Plotly The Better Matplotlib?
  • Tutorial - Plotly Tutorial 2021
  • Review - Data Visualization as The First and Last Mile of Data Science Plotly Express and Dash | SciPy 2021

Playwright videos

Generate tests in VS Code

More videos:

  • Review - Playwright Brittany K. Allen wins 2021 Georgia Engel Comedy Playwriting Prize

Category Popularity

0-100% (relative to Plotly and Playwright)
Data Visualization
100 100%
0% 0
Development
0 0%
100% 100
Data Dashboard
100 100%
0% 0
Automated Testing
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 Plotly and Playwright

Plotly Reviews

Best 8 Redash Alternatives in 2023 [In Depth Guide]
Plotly is specifically designed for companies who want to build and deploy analytic applications like dashboards using Python, Julia, or R without needing DevOps or Javascript developers.
Source: www.datapad.io
5 Best Python Libraries For Data Visualization in 2023
Plotly is a web-based data visualization toolkit that comes with unique functionalities such as dendrograms, 3D charts, and also contour plots, which is not very common in other libraries. It has a great API offering scatter plots, line charts, bar charts, error bars, box plots, and other visualizations. Plotly can even be accessed from a Python Notebook.
Top 8 Python Libraries for Data Visualization
Plotly is a free open-source graphing library that can be used to form data visualizations. Plotly (plotly.py) is built on top of the Plotly JavaScript library (plotly.js) and can be used to create web-based data visualizations that can be displayed in Jupyter notebooks or web applications using Dash or saved as individual HTML files. Plotly provides more than 40 unique...
5 top picks for JavaScript chart libraries
Plotly is a graphing library that’s available for various runtime environments, including the browser. It supports many kinds of charts and graphs that we can configure with a variety of options.

Playwright Reviews

Top Selenium Alternatives
Playwright offers a modern approach with auto-wait APIs and more native support for modern web features compared to Selenium's more manual and broad approach. While Selenium requires explicit waits and has a broader language support, Playwright focuses on simplifying cross-browser testing with its unified API and auto-wait features, which might reduce setup and test...
Source: bugbug.io
Top 5 Selenium Alternatives for Less Maintenance
Appium and Playwright closely resemble Selenium in terms of functionality but offer unique features and advantages. Both of these solutions require coding experience. Leapwork, a commercial vendor, uses Selenium under the hood to power their visual automation approach.
20 Best JavaScript Frameworks For 2023
Playwright, a Node.js library created by Microsoft, is considered one of the best JavaScript frameworks for testing. It automates Chromium, Firefox, and WebKit with a single API. Developers building JavaScript code can use these APIs to build new browser pages, go to URLs, and interact with page elements. Additionally, Playwright can automate Microsoft Edge since it is based...

Social recommendations and mentions

Based on our record, Playwright should be more popular than Plotly. It has been mentiond 281 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.

Plotly mentions (33)

  • Python for Data Visualization: Best Tools and Practices
    Plotly is perfect for interactive visualizations. You can create interactive charts and graphs that allow users to hover, click, and zoom in. Plotly is also great for web-based visuals, making it easy to share your findings online. - Source: dev.to / about 2 months ago
  • Generative AI Powered QnA & Visualization Chatbot
    Front End: A React application that leverages React-Chatbotify library to easily integrate a chatbot GUI. It also uses the Plotly library to display the charts/visualizations. The generative AI implementation and details are entirely abstracted from the front end. The front-end application depends on a single REST endpoint of the backend application. - Source: dev.to / 4 months ago
  • Build a Stock Dashboard in less than 40 lines of Python code!🤓
    In this tutorial, Mariya Sha will guide you through building a stock value dashboard using Taipy, Plotly, and a dataset from Kaggle. - Source: dev.to / 5 months ago
  • Essential Deep Learning Checklist: Best Practices Unveiled
    How to Accomplish: Utilize visualization libraries like Matplotlib, Seaborn, or Plotly in Python to create histograms, scatter plots, and bar charts. For image data, use tools that visualize images alongside their labels to check for labeling accuracy. For structured data, correlation matrices and pair plots can be highly informative. - Source: dev.to / 11 months ago
  • Python equivalent to power bi/power query?
    For dashboards: - https://plotly.com/ is probably my favourite, but there are others like streamlit, voila and others... Source: over 1 year ago
View more

Playwright mentions (281)

  • Data Broken - Opt out of the data broker nightmare with Privotron and Amazon Q Developer
    Privotron is built on a modern Python stack that leverages several powerful libraries for browser automation and configuration management. At its core, the application uses Playwright, a robust browser automation framework that provides cross-browser support and reliable DOM interaction capabilities. The command-line interface is implemented using Click, which enables sophisticated argument parsing and validation... - Source: dev.to / 4 days ago
  • CI/CD guide: store Playwright test results in AWS S3
    In my job, I've encountered a tool called Playwright for this purpose and was greatly impressed by its capabilities. You can program it to do all the things you do manually -- and run them automatically without needing to open a browser. It's no wonder someone took the time to transform such bloatware as a modern browser into something more automation-friendly. Amazing! - Source: dev.to / 10 days ago
  • Design Pattern for Playwright End-to-End Testing
    This article introduces a design pattern for end-to-end testing using Playwright. This pattern is an extension of the Page Object Model, aimed at improving test code readability and reducing the increase in code volume when adding more test scenarios or test data variations. This pattern is adopted by SVQK. A working implementation example and its test results are available in the following repositories:. - Source: dev.to / 16 days ago
  • Why the Python Standard Library Needs a run_sync()
    I recently updated a small script I wrote to automate file uploads to a website with no API. It uses the excellent Playwright project to drive a browser - making the tedious task of filling out forms painless. - Source: dev.to / 21 days ago
  • No Dockerfile? No problem! Running Node and Python MCPs with ToolHive
    E.g. If you’re interested in running the Playwright MCP, simply do:. - Source: dev.to / 22 days ago
View more

What are some alternatives?

When comparing Plotly and Playwright, you can also consider the following products

D3.js - D3.js is a JavaScript library for manipulating documents based on data. D3 helps you bring data to life using HTML, SVG, and CSS.

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

Chart.js - Easy, object oriented client side graphs for designers and developers.

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.

Highcharts - A charting library written in pure JavaScript, offering an easy way of adding interactive charts to your web site or web application

BrowserCat - Easy, fast, and reliable browser automation and headless browser APIs. The web is messy, but your code shouldn't be.