Software Alternatives, Accelerators & Startups

JSFiddle VS Plotly

Compare JSFiddle VS Plotly and see what are their differences

Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

JSFiddle logo JSFiddle

Test your JavaScript, CSS, HTML or CoffeeScript online with JSFiddle code editor.

Plotly logo Plotly

Low-Code Data Apps
  • JSFiddle Landing page
    Landing page //
    2022-07-11
  • Plotly Landing page
    Landing page //
    2023-07-31

JSFiddle features and specs

  • Easy Sharing and Collaboration
    JSFiddle allows users to share and collaborate on code snippets effortlessly by generating unique URLs for each project.
  • Real-Time Editing
    Changes made to HTML, CSS, and JavaScript are displayed in real-time, providing instant feedback and streamlining the development process.
  • Supports Multiple Frameworks
    JSFiddle supports various JavaScript frameworks and libraries such as jQuery, Vue.js, and React, allowing developers to experiment with different technologies.
  • Embed Feature
    Users can embed their fiddles directly into websites or blogs, enabling easy demonstration of code and concepts.
  • Version Control
    JSFiddle offers version control, allowing users to save different versions of their code and revert to previous versions if needed.

Possible disadvantages of JSFiddle

  • Limited Backend Support
    JSFiddle is primarily focused on frontend development and does not provide robust backend development capabilities.
  • Performance Issues
    With complex or resource-intensive projects, JSFiddle can experience performance lag, impacting the user experience.
  • Basic IDE Features
    Compared to full-fledged Integrated Development Environments (IDEs), JSFiddle lacks advanced features such as code linting, debugging tools, and extensive plugins.
  • File Management
    JSFiddle does not offer comprehensive file management, making it challenging to work on larger projects with multiple files.
  • Dependency Management
    Managing dependencies can be cumbersome, as JSFiddle does not provide built-in tools to handle package management seamlessly.

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.

JSFiddle videos

Dashboard JSFiddle Online JavaScript Editor jQuery, Angular, Backbone, Underscore, Knockout, Y

More videos:

  • Review - 1.3 Using JSFiddle to Create a Simple Web Page

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 JSFiddle and Plotly)
Text Editors
100 100%
0% 0
Data Visualization
0 0%
100% 100
Programming
100 100%
0% 0
Data Dashboard
0 0%
100% 100

User comments

Share your experience with using JSFiddle and Plotly. For example, how are they different and which one is better?
Log in or Post with

Reviews

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

JSFiddle Reviews

8 Best Replit Alternatives & Competitors in 2022 (Free & Paid) - Software Discover
Test your javascript, CSS, HTML or coffeescript online with jsfiddle code editor. Jsfiddle – code playground.
12 Best Online IDE and Code Editors to Develop Web Applications
JSFiddle cannot be used to host code on your server. The code has to be on JSFiddle and is public all the time.
Source: geekflare.com
6 Coding Playgrounds For Web Developers
What is missing from JSFiddle is live previews. You have to basically refresh the page by clicking on the play button. And compared to other playgrounds, JSFiddle is probably the slowest. Another slightly frustrating quirk of JSFiddle is its run button, sometimes clicking on it doesn’t work, so you’ll have to click a couple more times before it actually runs the code (and...

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.

Social recommendations and mentions

Based on our record, JSFiddle should be more popular than Plotly. It has been mentiond 202 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.

JSFiddle mentions (202)

View more

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 / about 2 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 / 4 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 / 11 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

What are some alternatives?

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

CodePen - A front end web development playground.

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.

CodeSandbox - Online playground for React

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

JS Bin - Sample of the bin:

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