Software Alternatives, Accelerators & Startups

Jasmine VS Plotly

Compare Jasmine VS Plotly and see what are their differences

Jasmine logo Jasmine

Behavior-Driven JavaScript

Plotly logo Plotly

Low-Code Data Apps
  • Jasmine Landing page
    Landing page //
    2023-06-17
  • Plotly Landing page
    Landing page //
    2023-07-31

Jasmine features and specs

  • Behavior-Driven Development
    Jasmine is designed for BDD, which makes tests easier to understand and maintain, aligning well with modern development practices.
  • No Dependencies
    Jasmine does not require a DOM and has no dependencies, which simplifies initial setup and integration into various environments.
  • Comprehensive API
    Jasmine provides a rich set of matchers, spies, and utilities out of the box, making it easier to write complex tests.
  • Built-in Mocking
    Jasmine includes built-in features for spying and mocking functions, reducing the need for additional libraries.
  • Wide Adoption
    Jasmine is widely adopted in the industry, which means better community support, extensive documentation, and plentiful resources.
  • Framework Agnostic
    Jasmine can be used with any JavaScript framework or library, offering flexibility for different projects.

Possible disadvantages of Jasmine

  • Steep Learning Curve
    Users new to BDD or Jasmine might find its extensive API and different testing paradigms challenging to learn initially.
  • Async Testing Complexity
    Although Jasmine provides support for asynchronous tests, handling async code can still be complex and less intuitive compared to some other testing frameworks.
  • Verbose Syntax
    Writing tests in Jasmine can sometimes be more verbose compared to other testing libraries, potentially leading to longer, harder-to-read test files.
  • Limited Plugin Ecosystem
    Compared to some other testing frameworks like Jest, Jasmine has a more limited ecosystem of plugins and extensions.
  • Integration with ES Modules
    Jasmine's integration with modern JavaScript features like ES Modules can sometimes be less straightforward, requiring additional configuration or workarounds.

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 Jasmine

Overall verdict

  • Yes, Jasmine is a good testing framework, particularly for those who want a straightforward, standalone solution for testing JavaScript. Its mature ecosystem and active community support make it a reliable choice.

Why this product is good

  • Jasmine is a popular behavior-driven development framework for testing JavaScript code. It is praised for being easy to set up and having no external dependencies, which makes it a great tool for testing purposes. Jasmine provides a clean syntax that makes tests readable and maintainable. It supports a variety of testing scenarios, including asynchronous testing and mock functionality, which are essential in modern web development.

Recommended for

  • JavaScript developers looking for a BDD framework.
  • Projects where ease of integration and minimal configuration are desired.
  • Development teams who prioritize readable and maintainable test code.
  • Those who need a robust solution for testing both synchronous and asynchronous code.

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.

Jasmine videos

Blue Jasmine - Movie Review by Chris Stuckmann

More videos:

  • Review - Blue Jasmine -- Movie Review
  • Review - Was Jasmine Ever Speechless? [Aladdin 2019 Review]

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

Category Popularity

0-100% (relative to Jasmine and Plotly)
Developer Tools
100 100%
0% 0
Data Visualization
0 0%
100% 100
Testing
100 100%
0% 0
Charting Libraries
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 Jasmine and Plotly

Jasmine Reviews

20 Best JavaScript Frameworks For 2023
In the State of JS ranking, Cypress has already surpassed some previously leading best testing frameworks, such as Jasmine, and is now ranked fourth for testing, with 35.8% of testers citing Cypress as their preferred testing framework, which is nearly identical to Mocha.

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 thatโ€™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.

Social recommendations and mentions

Plotly might be a bit more popular than Jasmine. We know about 34 links to it since March 2021 and only 32 links to Jasmine. 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.

Jasmine mentions (32)

  • Angular vs. React vs. Vue
    Apart from that, there is a lot of common ground regarding testing. All three contenders support the testing tools that many of you use and love, whether it is Jest, Jasmine, and Mocha for unit testing or Cypress, Playwright, and โ€” of course โ€” Selenium for end-to-end testing, among others. A shallow learning curve will be ahead if you want to use these testing tools. - Source: dev.to / over 1 year ago
  • Test Test Test
    Greetings, another week another lab this week covered the topic of automated testing. When selecting a test framework my first thought was to use Jasmine, which I had used previously, however it turns out that Jasmine does not have good support for ES modules. After doing a bit of research I opted to go with Vitest, since it was ES module compatible, and was inter-compatible with the very popular Vite tool chain. - Source: dev.to / over 1 year ago
  • Is the VCR plugged in? Common Sense Troubleshooting For Web Devs
    5. Automated Tests: Unit tests are automated tests that verify the behavior of a small unit of code in isolation. I like to write unit tests for every bug reported by a user. This way, I can reproduce the bug in a controlled environment and verify that the fix works as expected and that we wont see a regression. There are many different JavaScript test frameworks like Jest, cypress, mocha, and jasmine. We use... - Source: dev.to / about 2 years ago
  • # 5 Testing Frameworks for JavaScript Developers
    Jasmine is renowned for its simplicity and is a popular choice for JavaScript testing. Here are its key features:. - Source: dev.to / about 2 years ago
  • Migrating from Jest to Vitest for your React Application
    Vitest makes it effortless to migrate from Jest. It supports the same Jasmine like API. - Source: dev.to / over 2 years ago
View more

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 / 4 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!๐Ÿค“
    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 / over 1 year 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 Jasmine and Plotly, you can also consider the following products

Mocha - Sponsors. Use Mocha at Work? Ask your manager or marketing team if they'd help support our project. Your company's logo will also be displayed on npmjs. com and our GitHub repository.

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.

Karma - Spectacular Test Runner for JavaScript

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

Mochajs - Mocha is a JavaScript test framework running on Node.js and the browser, making asynchronous testing simple.

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.