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StackBlitz VS Plotly

Compare StackBlitz VS Plotly and see what are their differences

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StackBlitz logo StackBlitz

Online VS Code Editor for Angular and React

Plotly logo Plotly

Low-Code Data Apps
  • StackBlitz Landing page
    Landing page //
    2023-09-20
  • Plotly Landing page
    Landing page //
    2023-07-31

StackBlitz features and specs

  • Speed
    StackBlitz is known for its quick load times and fast editing capabilities, making it ideal for rapid development and testing.
  • Ease of Use
    The interface is intuitive and user-friendly, allowing developers to get started quickly without a steep learning curve.
  • Zero-Setup
    Users can write, compile, and run code directly in the browser without any setup or configuration required.
  • Integrations
    StackBlitz integrates seamlessly with GitHub, allowing for easy import and export of repositories.
  • WebContainers
    StackBlitz uses WebContainers to run Node.js applications in the browser, providing a near-native development experience.
  • Collaboration
    Real-time collaboration features allow multiple users to work on the same project simultaneously, similar to Google Docs.

Possible disadvantages of StackBlitz

  • Limited Plugins
    Unlike traditional IDEs like VSCode or IntelliJ, StackBlitz has a limited ecosystem of plugins and extensions.
  • Online Dependency
    StackBlitz requires an internet connection to function, which can be a limitation for developers who need to work offline.
  • Performance
    For very large projects or those requiring extensive computational resources, performance may degrade compared to local development environments.
  • Mobile Accessibility
    While StackBlitz is accessible on mobile devices, the user experience is not as optimized as it is on desktop browsers.
  • Limited Framework Support
    Although StackBlitz supports many popular frameworks, it doesn't support all frameworks or versions, which could be limiting for some projects.
  • Storage and Persistence
    Files and data are stored in the cloud, which might raise concerns around data privacy and persistence for some users.

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.

StackBlitz videos

+ Add

StackBlitz - Online Code Editor For Angular and React - Introduction

More videos:

  • Review - Using Stackblitz for html css javascript, make websites, web development

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 StackBlitz and Plotly)

StackBlitz

Plotly

Text Editors
100 100%
Text Editors
0% 0
Data Visualization
0 0%
Data Visualization
100% 100
Programming
100 100%
Programming
0% 0
Data Dashboard
0 0%
Data Dashboard
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 StackBlitz and Plotly

StackBlitz Reviews

  1. Guest
    Has almost everything I need

    I've started using this as my main IDE for new projects when I'm trying things out. If it keeps getting better at the rate it has been, it'll be even better than coding locally.

    🏁 Competitors: replit
    👍 Pros:    Easy to get started and operate|Fast|Supports common extensions|Works with most npm packages
    👎 Cons:    Still not as good as local development|Can be hard to debug|Build times can be slower than local
12 Best Online IDE and Code Editors to Develop Web Applications
All applications created on StackBlitz also get deployed automatically on their servers! So, this Angular toy app I just created is hosted automatically on https://angular-yvyi2j.stackblitz.io/. Most likely, the URL is still working (will load slowly, though, as you’d expect when hosted for free)!
Source: geekflare.com
Best Online Code Editors For Web Developers
StackBlitz claims to allow you to code the future in your browser. And after trying it, I’m confident you’ll agree that this web application is extremely useful for coders.
Source: techarge.in

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, StackBlitz should be more popular than Plotly. It has been mentiond 109 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.

StackBlitz mentions (109)

  • AutoView - turning your blueprint into UI components (AI Code Generator)
    In the code editor tab (powered by StackBlitz), navigate to the env.ts file and enter your OpenAI key. Run npm run generate in the terminal to see how @autoview generates TypeScript frontend code from example schemas derived from both TypeScript types and OpenAPI documents. - Source: dev.to / about 1 month ago
  • 22 Unique Developer Resources You Should Explore
    URL: https://stackblitz.com What it does: An online IDE for coding, previewing, and deploying web apps instantly. Why it's great: Rapidly spin up projects without local setups — great for experimentation. - Source: dev.to / 4 months ago
  • React Native Online Compiler: Compare the Top 5 Platforms for Your Development Needs
    StackBlitz for offline-friendly development. - Source: dev.to / 5 months ago
  • Bussin': Database as a Message Bus
    Stackblitz is our backend in this case. Here we define our services and their subscriptions and we publish relevant events. The implementation of this pattern (the how) is less important than what is accomplished:. - Source: dev.to / 5 months ago
  • Angular resources I often return to
    Stackblitz Again, not an Angular resource but this tool is used even by the Angular developers. You can set up an instant dev environment for angular. Most official Material examples have a _Stackblitz _link like the Highlighting the first autocomplete function. Besides creating a new environment, you can fork existing onces, test your costumizations and eventually implement the results in your own code. I like... - Source: dev.to / 6 months ago
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 / 5 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 StackBlitz 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.

replit - Code, create, andlearn together. Use our free, collaborative, in-browser IDE to code in 50+ languages — without spending a second on setup.

Highcharts - A charting library written in pure JavaScript, offering an easy way of adding interactive charts to your web site or web application

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