mabl VS Plotly

Compare mabl VS Plotly and see what are their differences

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Plotly

Low-Code Data Apps

Landing page //
2026-08-01

mabl is the AI-native test automation platform that empowers software development teams to release faster with confidence. Our agentic testing teammate complements your team's human expertise with a digital teammate, seamlessly integrating into your development workflow to provide comprehensive and reliable quality assurance.

Landing page //
2023-07-31

mabl

Website: mabl.com
Pricing URL: Official mabl Pricing
$ Details: paid Free Trial

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Plotly

Website: plotly.com
Pricing URL: Official Plotly Pricing
$ Details: -

Edit details

mabl features and specs

Codeless Automation
Mabl allows users to create automated tests without the need for extensive programming skills, making it accessible to a wider audience.
Cloud-Based Platform
Being a cloud-based service, Mabl provides easy access and integration with other cloud-based tools and services for streamlined workflow management.
Self-Healing Tests
Mabl's self-healing capability automatically updates tests when there are minor changes in the application being tested, reducing maintenance overhead.
Comprehensive Reporting
Mabl provides detailed reporting and analysis of test results, helping teams quickly identify issues and understand trends.
Integration Capabilities
It offers seamless integration with CI/CD tools, allowing for easy deployment into existing development workflows.
Agentic Testing
mabl generates tests from your inputs, runs them continuously, and recovers your coverage as your application changes — with full transparency and control over every update.

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 mabl

Overall verdict

Overall, Mabl is a highly recommended testing solution for teams seeking to improve their test automation processes. It is particularly beneficial for organizations looking to enhance the efficiency and effectiveness of their QA workflows.

Why this product is good

Mabl is considered good due to its robust capabilities in automating end-to-end testing for web applications. It offers features such as machine learning-powered test automation, easy integration with CI/CD pipelines, and a user-friendly interface. Additionally, it supports self-healing tests, which reduce maintenance efforts and improve test reliability over time. The platform also provides insightful analytics and reporting capabilities to help teams improve their test coverage and application quality.

Recommended for

Mabl is well-suited for software development teams, QA engineers, and DevOps teams that work on web applications and require a reliable and scalable testing solution. It is ideal for businesses that have embraced cloud-based and agile development methodologies and are looking for tools that integrate seamlessly with their continuous integration and delivery pipelines.

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.

mabl videos

+ Add

Web Automation with Machine Learning - mabl.com

Plotly videos

+ Add

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

Category Popularity

0-100% (relative to mabl and Plotly)

mabl

Plotly

Automated Testing

100 100%

Automated Testing

0% 0

Data Visualization

0 0%

Data Visualization

100% 100

Software Testing

100 100%

Software Testing

0% 0

Charting Libraries

0 0%

Charting Libraries

100% 100

User comments

Share your experience with using mabl and Plotly. For example, how are they different and which one is better?

Reviews

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

mabl Reviews

Best Automation Testing Tools (Free and Paid) | July 2022

Mabl is a next-generation automated testing tool for web applications. It uses the power of ML & AI to enable easy functional testing of a system. This SaaS service comes with native supports for Firefox, Chrome, Safari, and IE without leveraging any 3rd party test-cloud beyond Mabl.

Source: www.softwaretestingmaterial.com

Best Selenium Alternatives (Free and Paid) in 2021

Mabl is a next-generation automated script less cross-browser testing tool. It uses the power of machine learning and artificial intelligence to enable easy functional testing of applications. The only SaaS service with native support for Chrome, Firefox, IE, and Safari. All without leveraging any 3rd party test-cloud beyond mabl.

Source: www.softwaretestingmaterial.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.

mabl mentions (0)

We have not tracked any mentions of mabl yet. Tracking of mabl 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

What are some alternatives?

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

Testim - Stable, self-healing, end-to-end test automation via machine learning. Testim helps accelerate the delivery of high-quality software. Speed up test-authoring and improve the stability of automated, end-to-end tests.

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.

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.

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

Testsigma - Complete AI-driven Test Automation platform for Web apps, Mobile apps and APIs. Simple English commands to automate complex tests easily and effectively with all the flexibility that enterprise teams need!

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.