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Leapwork VS Plotly

Compare Leapwork VS Plotly and see what are their differences

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Leapwork logo Leapwork

Smarter Faster Test Automation: Leapwork is a codeless and AI-Powered end-to-end test automation platform enabling everyone to deliver continuous quality across customer journeys.

Plotly logo Plotly

Low-Code Data Apps
  • Leapwork Landing page
    Landing page //
    2023-07-09

With an intuitive and visual interface, Leapwork makes test automation accessible for everyone. With the shortest learning curve on the market, anyone can easily build test flows across applications from day one.

  • Plotly Landing page
    Landing page //
    2023-07-31

Leapwork

Website
leapwork.com
Pricing URL
Official Leapwork Pricing
$ Details
Free Trial
Release Date
2015 January
Startup details
Country
Denmark
State
Hovedstaden
City
Copenhagen
Founder(s)
Christian Brink Frederiksen
Employees
100 - 249
Edit details

Plotly

Website
plotly.com
Pricing URL
Official Plotly Pricing
$ Details
-
Release Date
-
Edit details

Leapwork features and specs

  • No-Code Platform
    LEAPWORK offers a completely no-code platform, which allows even non-technical users to automate tasks without needing to write any scripts or code. This accelerates the adoption of test automation across diverse teams.
  • Intuitive Visual Designer
    The visual designer in LEAPWORK is highly intuitive, using flowchart-like interface elements to define automation processes. This makes it easier to create and understand workflows compared to traditional text-based scripting.
  • Cross-Platform Support
    LEAPWORK supports automation across a variety of platforms, including web, desktop, and mobile applications. This ensures versatility in testing different types of applications.
  • Extensive Integrations
    The platform integrates with various DevOps tools, CI/CD pipelines, and test management systems, which simplifies the process of including automated tests in the development lifecycle.
  • Reliable Customer Support
    Users often commend LEAPWORK for its responsive and knowledgeable customer support team, which helps in quickly resolving issues and providing guidance.

Possible disadvantages of Leapwork

  • High Cost
    LEAPWORK can be expensive, especially for small and medium-sized enterprises. The pricing model may pose a barrier to entry for some organizations.
  • Learning Curve
    While easier than coding, there is still a learning curve to effectively use LEAPWORK, particularly in understanding how to create complex automation workflows.
  • Performance Issues
    Some users have reported performance issues when dealing with large and complex test suites. These issues can affect the speed and reliability of test executions.
  • Limited Customization
    The no-code nature of LEAPWORK can sometimes limit the degree of customization and flexibility available to advanced users who might need to implement more intricate logic in their tests.
  • Dependency on Vendor
    Reliance on a proprietary platform like LEAPWORK means that users are dependent on the vendor for updates, support, and feature enhancements, which may or may not align with their immediate needs.

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.

Analysis of Plotly

Overall verdict

  • Overall, Plotly is a strong choice for those looking to create dynamic and interactive data visualizations, thanks to its range of features and ease of integration with web technologies.

Why this product is good

  • Plotly is considered good because it offers a comprehensive suite of tools for creating interactive visualizations that can be used in web applications, reports, and dashboards. It supports many different types of plots, is easy to use for both beginners and experienced developers, and integrates well with popular programming languages like Python, R, and JavaScript.

Recommended for

    Plotly is recommended for data scientists, analysts, and developers who need to create interactive and visually appealing data visualizations. It's particularly useful for those who work with Python or R and want the ability to embed their visualizations in web applications or dashboards.

Leapwork videos

+ Add

An overview of LEAPWORK Test Automation Tool - Web Test Automation

More videos:

  • Tutorial - Automated UI Testing with Leapwork: Intro and Tutorial
  • Review - Working with Numbers and Variables with LEAPWORK

Plotly videos

+ Add

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

Category Popularity

0-100% (relative to Leapwork and Plotly)

Leapwork

Plotly

Automated Testing
100 100%
Automated Testing
0% 0
Data Visualization
0 0%
Data Visualization
100% 100
Website Testing
100 100%
Website Testing
0% 0
Charting Libraries
0 0%
Charting Libraries
100% 100

User comments

Share your experience with using Leapwork and Plotly. 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 Leapwork and Plotly

Leapwork Reviews

Top 5 Selenium Alternatives for Less Maintenance
Leapwork is a visual test automation platform that helps testers and business users build, maintain, and scale automation faster. With Leapwork, you can design your automation using a smart recorder that makes test automation build easy. Or choose our automation builder - it’s like cobbling Lego blocks together. Once built, your flow becomes easy to maintain automated tests.
Source: www.leapwork.com

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.
Source: www.technotification.com
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...
Source: www.geeksforgeeks.org
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.
Source: blog.logrocket.com

Social recommendations and mentions

Based on our record, Plotly seems to be more popular. It has been mentiond 34 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.

Leapwork mentions (0)

We have not tracked any mentions of Leapwork yet. Tracking of Leapwork recommendations started around Mar 2021.

Plotly mentions (34)

  • How to Analyze 47 Million Hacker News Posts: A Data Scientist's Dream Dataset Just Got Better
    Let's dive into some practical examples. First, you'll need to set up your environment with the right tools. I recommend using pandas for data manipulation and plotly for visualization. - Source: dev.to / 6 months ago
  • 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 / over 1 year 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 / over 1 year 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 / almost 2 years 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 / about 2 years ago
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What are some alternatives?

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

TestMu AI (Formerly LambdaTest) - World’s first full-stack Agentic AI Quality Engineering platform.

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.

Ghost Inspector - Easily create automated browser tests for your websites and web apps. Ensure everything works and looks the way it should. No coding required. 14 day free trial!

RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...

Functionize - Functionize combines natural language processing, deep-learning ML models and other AI-based technologies to empower your team to build tests faster that don’t break and run at scale in the cloud.

Tableau - Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.

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