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Testim VS Plotly

Compare Testim VS Plotly and see what are their differences

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Testim logo 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.

Plotly logo Plotly

Low-Code Data Apps
  • Testim Landing page
    Landing page //
    2023-07-11

Testim gives you the flexibility to create and manage tests your way—codeless, coded, or both. - Quickly click through UI scenarios, add validation steps, create reusable groups, or export to code and edit in your IDE. - Run suites or test plans in parallel, across multiple browsers, and report results. - Configure validations, modify conditions, or insert custom code or data to test any scenario. - Connect to your CI, version control, collaboration, bug capture, or 3rd party testing grids. - Development Kit - export your tests to code or write them in your IDE using the Testim JavaScript library, API commands, and example code. - Self-healing - Smart Locators learn with each run to stabilize tests, maintaining test stability even when code changes. - Root Cause Analysis - errors are aggregated giving you quick insight into where tests are failing. View rich data including HTML/DOM and before/after screenshots see how attributes changed

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

Testim features and specs

  • Ease of Use
    Testim offers a highly intuitive interface that makes it easy for both technical and non-technical users to create and manage test cases.
  • AI-Powered Capabilities
    Utilizes AI to help in maintaining test cases, reducing flakiness, and improving the robustness of automated tests.
  • Scalability
    Testim is designed to scale with your needs, making it suitable for both small startups and large enterprises.
  • Rich Integration Ecosystem
    Offers extensive integrations with CI/CD tools, version control systems, and other development tools, facilitating seamless workflows.
  • Detailed Reporting
    Provides detailed test reports and analytics, helping teams to quickly identify and resolve issues.

Possible disadvantages of Testim

  • Pricing
    Testim can be relatively expensive compared to other test automation tools, particularly for smaller teams or startups.
  • Learning Curve for Advanced Features
    While basic functionalities are easy to grasp, mastering advanced features may require a steep learning curve.
  • Performance
    Some users have reported that the performance can be sluggish when dealing with very large test suites.
  • Limited Customization
    Customization options can be limited compared to some other open-source or highly configurable test automation frameworks.

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 Testim

Overall verdict

  • Testim is generally considered a good tool for teams looking to leverage AI in testing to enhance efficiency and accuracy. Its user-friendly interface and range of features make it a valuable asset for developers and QA professionals aiming for rapid and reliable test automation.

Why this product is good

  • Testim is an automated testing tool designed to speed up the test creation and execution process through AI-driven technology. It helps in reducing the time to market by creating stable tests quickly, minimizing maintenance through smart features, and offering robust reporting functionalities. Users appreciate its ability to handle complex scenarios and its integration capabilities with CI/CD pipelines, which help to maintain continuous testing cycles efficiently.

Recommended for

    Testim is recommended for development teams, QA engineers, and product managers who face frequent test maintenance challenges and those who work within Agile and DevOps environments. It is especially beneficial for organizations seeking to automate frontend tests for web applications and needing a tool that scales with the complexity and size of their products.

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.

Testim videos

+ Add

Introduction and getting started with AI based automation testing tool Testim.io

More videos:

  • Review - Getting Started With Testim.io - AI based test automation

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 Testim and Plotly)

Testim

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 Testim 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 Testim and Plotly

Testim Reviews

Top Selenium Alternatives
Testim is an AI-powered test automation tool that enhances the speed and reliability of automated UI tests. It employs smart locators and self-healing tests, which automatically adjust to changes in the application's UI, significantly reducing the need for manual test maintenance. Testim is designed to integrate easily into CI/CD workflows, streamlining the test automation...
Source: bugbug.io

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 should be more popular than Testim. 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.

Testim mentions (4)

  • Navigating the Software Developer Life: Soft Skills, AI Tools, and Team Dynamics
    Automated Testing: Platforms like Testim and Selenium use AI to automate the testing process, reducing the time and effort needed for manual testing. - Source: dev.to / about 2 years ago
  • testim.io
    Does anyone have any experience with testim.io? A In my company, they created a focus group/team to research this tool and I am part of the team? If you have 1st hand experience using it, please share your feedback. Source: about 4 years ago
  • Testim - Automation testing on Steroids
    Last month, I started exploring solutions for the above problems and one day landed with testim.io. Testim not only automates the flow but also automates code generation for the test scripts. Let’s take a look together. - Source: dev.to / over 4 years ago
  • Looking for some advise/direction on a new testing framework
    I'm seeing the comments and a lot of great suggestions. Curious if anyone has had any experience using testim.io, and how that compares to the most popular one in this thread test cafe. Source: over 5 years ago

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
View more

What are some alternatives?

When comparing Testim and Plotly, 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.

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.

mabl - Agentic Test Automation Platform

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

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.

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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