Software Alternatives, Accelerators & Startups

Plotly VS Koa.js

Compare Plotly VS Koa.js and see what are their differences

Plotly logo Plotly

Low-Code Data Apps

Koa.js logo Koa.js

Next generation web framework for node.js
  • Plotly Landing page
    Landing page //
    2023-07-31
  • Koa.js Landing page
    Landing page //
    2022-10-16

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.

Koa.js features and specs

  • Lightweight
    Koa.js is designed to be a smaller, more expressive, and more robust foundation for web applications and APIs, minimizing the middleware interface.
  • Modern JavaScript
    Koa.js is built using modern JavaScript features, such as async/await, making the code more readable and easier to maintain.
  • Modularity
    Koa provides a suite of methods that make writing servers fast and enjoyable. Additionally, it doesn't come with middleware, so you can pick and choose the pieces you need, resulting in a more tailored application.
  • Error Handling
    Koa has improved error handling mechanisms compared to some other Node.js frameworks, streamlining the process of catching and managing errors.
  • Performance
    Due to its lightweight nature and the absence of bundled middleware, Koa generally has better performance metrics in terms of speed and memory consumption.

Possible disadvantages of Koa.js

  • Steeper Learning Curve
    Koa's minimalist approach and reliance on new JavaScript syntax can be challenging for beginners or those who are more accustomed to frameworks like Express.js.
  • Lack of Middleware
    Although its lack of built-in middleware promotes modularity and flexibility, it also means that developers have to spend additional time incorporating necessary middleware components.
  • Smaller Ecosystem
    Koa has a smaller ecosystem compared to more mature Node.js frameworks like Express.js. This could result in less community support and fewer third-party plugins and extensions.
  • Less Documentation
    While Koa.js has its official documentation, there are fewer tutorials, guides, and comprehensive resources available compared to some other more established frameworks.
  • Compatibility Issues
    Given that Koa.js leverages modern JavaScript features, it may not be compatible with all Node.js versions or legacy systems, necessitating careful consideration during adoption.

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.

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

Koa.js videos

TRAVELER'S GUIDE to KOA Campgrounds

More videos:

  • Review - GS Mini Koa ★ Detailed Guitar Review
  • Review - ESP Ltd M-1000 Koa Review

Category Popularity

0-100% (relative to Plotly and Koa.js)
Data Visualization
100 100%
0% 0
Web Frameworks
0 0%
100% 100
Data Dashboard
100 100%
0% 0
Developer Tools
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 Plotly and Koa.js

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 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.

Koa.js Reviews

The 20 Best Laravel Alternatives for Web Development
Koa — from the creators of Express — rolls out with new riffs in web application craftsmanship. It’s lighter, nimbler, and has ditched the middleware weight to give you more control. Call it Express’s leaner, meaner sibling.
Top 10 Best Node. Js Frameworks to Improve Web Development
It is another Node.js frame that was created by the designers following Express. It uses ES2017 async functions and thought as an expressive, and a frequently important reason for building APIs and web applications. In addition, Koa doesn’t possess any middleware in the center. This indicates that the middlewares are frequently streamlined and every line of cryptogram is...
Top 10 Phoenix Framework Alternatives
Despite being developed by the same teams, Koa is a simpler and a more customizable alternative to ExpressJS.
Top Node.js Frameworks To Use In 2021
When your online application demands performance critically, you need Koa. The framework allows building massive applications with large and experienced development teams, especially for a huge project. Koa has shown itself to be faster than Express in some circumstances.
Top 14 Node.JS Frameworks: Which Will Rule in 2020?
Koa does not package a middleware inside the center. Hence, the middlewares are progressively streamlined and every code line is granular and rich. Similarly, it considers you for structuring the parts the way you require.

Social recommendations and mentions

Koa.js might be a bit more popular than Plotly. We know about 40 links to it since March 2021 and only 33 links to Plotly. 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

Koa.js mentions (40)

  • Introduction to hono.dev - Building a Serverless API Easily
    Hono.dev is quite similar to express.js or koa.js. Hono focuses on simplicity, routing, and middleware. Using hono is similar to the REST API libraries you've been using for a long time. - Source: dev.to / 9 months ago
  • Mastering Node.js
    Koa is a new web framework designed by the team behind Express.js, which aims to be a smaller, more expressive, and more robust foundation for web applications and APIs. - Source: dev.to / 11 months ago
  • Low-code drag-and-drop tool for building RESTful APIs with in minutes.
    Koa: A NodeJs backend web framework for the development of the backend server, setting up the routes endpoint for the RESTful API, etc. - Source: dev.to / 11 months ago
  • How to generate dynamic OG (OpenGraph) images with Satori and React
    The endpoint is simple and is like any other endpoint that you already implemented. Based on our stack, we will be using Koa.js to implement it:. - Source: dev.to / 12 months ago
  • Instrumenting AWS Lambda functions with OpenTelemetry SDKs
    In this example, we're using the serverless framework to quickly set up the Lambda function along with an API gateway for the entry point. The lambda function is a simple Koa REST API with a few functional endpoints. - Source: dev.to / over 1 year ago
View more

What are some alternatives?

When comparing Plotly and Koa.js, 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.

ExpressJS - Sinatra inspired web development framework for node.js -- insanely fast, flexible, and simple

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

Ruby on Rails - Ruby on Rails is an open source full-stack web application framework for the Ruby programming...

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

Django - The Web framework for perfectionists with deadlines