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Plotly VS Qase

Compare Plotly VS Qase and see what are their differences

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Plotly logo Plotly

Low-Code Data Apps

Qase logo Qase

Test case management software for QA and development teams that helps you make your product better.
  • Plotly Landing page
    Landing page //
    2023-07-31
  • Qase Landing page
    Landing page //
    2021-05-16

Qase.io is a cloud test management application that helps your team to significantly boost testing productivity and organize your software testing efforts.

Test case management

Test suites can help you to organize all your test cases into logical groups. Comprehensive features of test cases allow you to define test case severity, priority; describe pre-conditions, post-conditions, and steps to reproduce test case.

Test plans and runs

You can compose test plans and then run tests. A smart wizard will guide you through the test plan and will help to check all cases at once. Time tracker will show detailed information about time spent for each case.

Team management

Invite your teammates to join and use all power of test case management tools together: run tests, write test documentation, compose test plans.

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.

Qase features and specs

  • Unlimited read-only users
  • Test case management
  • Test Plans
  • Requirements
  • Dashboards
  • Integrations
    30+
  • Automation support
    Advanced
  • API
  • Test Review
  • Defect management
  • SSO

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.

Analysis of Qase

Overall verdict

  • Overall, Qase.io is highly rated for its comprehensive functionality and ease of use, making it a strong choice for teams looking to streamline their test management processes.

Why this product is good

  • Qase.io is considered a good platform for managing test cases due to its user-friendly interface, robust feature set, and seamless integration capabilities with a variety of tools such as Jira, GitHub, and Slack. It provides efficient test case management with options for test planning, execution, and reporting, which can significantly improve the testing process and collaboration within teams.

Recommended for

  • QA teams needing a centralized platform for test case management.
  • Agile teams seeking integration with other development and project management tools.
  • Organizations looking for a cost-effective solution for managing testing workflows.

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

Qase videos

+ Add

Test Case Management - Qase intro

More videos:

  • Demo - Final Qase Demo Testing

Category Popularity

0-100% (relative to Plotly and Qase)

Plotly

Qase

Data Visualization
100 100%
Data Visualization
0% 0
QA
0 0%
QA
100% 100
Data Dashboard
100 100%
Data Dashboard
0% 0
Software Testing
0 0%
Software Testing
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 Qase

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

Qase Reviews

We have no reviews of Qase yet.
Be the first one to post

Social recommendations and mentions

Based on our record, Plotly should be more popular than Qase. It has been mentiond 33 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 / 3 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 / 5 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 / 6 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 / 12 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

Qase mentions (4)

  • My QA Tech Stack in 2025
    Qase is a lightweight but powerful test management tool with fairly decent reporting capabilities. In addition to test run reports, I love their dashboard features which allow me to check on automation progress and other key metrics at a glance. Our team was previously using TestRail, but we made the switch and haven't looked back. - Source: dev.to / 7 months ago
  • Best Test Execution Tools List to use in 2025
    Qase is one of the best cloud-based test case management tools. With Qase QA teams can manage test plans, requirements, test suites, and test cases all in one place. The tool lets you create detailed test cases including parameters such as priority, severity, and steps. - Source: dev.to / 7 months ago
  • How I build my Personal Expense Management App and what I learn from it
    Yep! And it's another huge thing for me. The way I started to test application now is by using Qase. This helps me to write manual test cases for my features and when I finish the work, I can run all test cases step by steps and check everything manually. It's nice to have things like this, because when you test something, you can forget small details about the requirements, but with this thing, it's like... - Source: dev.to / about 3 years ago
  • Free for dev - list of software (SaaS, PaaS, IaaS, etc.)
    Qase.io - Test management system for Dev and QA teams. Manage test cases, compose test runs, perform test runs, track defects and measure impact. The free tier includes all core features, with 500Mb available for attachments and up to 3 users. - Source: dev.to / almost 4 years ago

What are some alternatives?

When comparing Plotly and Qase, 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.

TestRail - TestRail provides comprehensive test case management for software testing. Organize your testing, boost productivity, get real-time insights, and track progress toward milestones. Integrates with leading issue tracking and test automation tools.

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

Kualitee - Your next ALM alternative for Requirements planning, test case management, and issue tracking for both manual and automated testing.

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

Klaros-Testmanagement - Klaros-Testmanagement is a professional web based test management tool.

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