Software Alternatives, Accelerators & Startups

Socket.io VS Plotly

Compare Socket.io VS Plotly and see what are their differences

Socket.io logo Socket.io

Realtime application framework (Node.JS server)

Plotly logo Plotly

Low-Code Data Apps
  • Socket.io Landing page
    Landing page //
    2023-10-21
  • Plotly Landing page
    Landing page //
    2023-07-31

Socket.io features and specs

  • Real-time Communication
    Socket.io provides real-time bidirectional event-based communication, which is essential for applications requiring instant data exchange, such as chat applications, live notifications, and multiplayer games.
  • Cross-browser Compatibility
    Socket.io abstracts the differences between various web socket implementations across different browsers, ensuring consistent performance and compatibility.
  • Fallback Support
    If WebSocket support is unavailable, Socket.io seamlessly falls back to other communication protocols such as long-polling, ensuring reliable connections.
  • Event-driven Architecture
    Socket.io uses an event-driven approach, which simplifies the handling of complex real-time interactions through named events that can be easily managed and debugged.
  • Scalability Options
    Socket.io can be effectively integrated with scaling solutions like Redis, which allows horizontal scaling and ensures that messages are correctly distributed among multiple server instances.
  • Easy to Use
    Socket.io offers a straightforward API, making it easier for developers to implement real-time communication without deep knowledge of the underlying protocols.
  • Built-in Room and Namespace Support
    With built-in support for rooms and namespaces, Socket.io allows more organized and efficient handling of events and connections within distinct channels or groups.

Possible disadvantages of Socket.io

  • Overhead
    Due to the abstraction layer that Socket.io provides, there is additional overhead compared to using raw WebSockets, which might affect performance in high-demand scenarios.
  • Complexity
    Although Socket.io simplifies many aspects of real-time communication, handling its scalability, especially in large applications, can become complex and might require additional infrastructure setup.
  • Version Compatibility
    Different versions of the Socket.io client and server may sometimes face compatibility issues, leading to potential communication problems if not all parts of the application are upgraded simultaneously.
  • Increased Latency
    In scenarios where Socket.io falls back to long-polling or other techniques, the latency is inherently higher compared to a direct WebSocket connection.
  • Dependency on Additional Libraries
    Socket.io relies on additional libraries and dependencies for its functionality. These dependencies can sometimes introduce vulnerabilities or require updates that may affect server stability.
  • Inadequate for Simple Use Cases
    For projects with simple real-time requirements, the added features and abstractions of Socket.io might be overkill, leading to unnecessary complexity.

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.

Socket.io videos

Review And Demonstration - Socket.io - Antiumadam

More videos:

  • Review - Modern Day CMS - Part #3 - Code Review: The Backend - NodeJS, Socket.io and Passport Authentication.
  • Review - 🎆| Adding new features to isitnewyearsday.com | Node.js, Express, Socket.io and Vue.js

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 Socket.io and Plotly)
Developer Tools
100 100%
0% 0
Data Visualization
0 0%
100% 100
Mobile Push Messaging
100 100%
0% 0
Data Dashboard
0 0%
100% 100

User comments

Share your experience with using Socket.io 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 Socket.io and Plotly

Socket.io Reviews

Top 10 Best Node. Js Frameworks to Improve Web Development
It is a web-socket composition that is accessed by different languages of programming. Socket.io in NodeJS allows creating web socket applications such as score tickers, chatbots, dashboard APIs, including others. Moreover, it has significant benefits over the general Node.js frameworks.
Top Node.js Frameworks To Use In 2021
Socket.io is a Javascript framework used to construct real-time apps and facilitate two-way communication between the client-side and servers. It uses functional reactive programming. You can construct applications with WebSocket development requirements with this library framework. For instance, messaging apps like Whatsapp continuously run to update live and refresh...
Top 14 Node.JS Frameworks: Which Will Rule in 2020?
In Node.js, Socket.io allows building web socket apps such as dashboard APIs, score tickets, chatbots, and others. It has great benefits over the regular Node.JS web app frameworks.

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, Socket.io seems to be a lot more popular than Plotly. While we know about 734 links to Socket.io, we've tracked only 33 mentions of 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.

Socket.io mentions (734)

  • Mastering WebSockets with Socket.IO: A Comprehensive Guide
    In line 32 we have the socket.io editaData event which handles data editing in the server. When the user clicks edit in the client, the server searches for the data using the findIndex method. If it exists it updates the data in the crudData array then it broadcasts the edited data to the client. - Source: dev.to / 3 months ago
  • Tools for Building a Modern JavaScript Booking Application
    Tools like Socket.IO and WebSockets significantly simplify the implementation of real-time communication between client and server. - Source: dev.to / 3 months ago
  • Custom Angular and Karma Test Extension for VS Code
    To capture the test execution status, I wrote a custom karma reporter(a good resource) with which I was able to emit the test execution status back to the vscode extension. I am using socket.io to do this communication. - Source: dev.to / 4 months ago
  • Stop sharing your screen, start sharing your website
    Building such experiences is already possible, using libraries such as socket.io and React Together. This blog post explains how to easily add real-time collaboration to an existing React app, using React Together. - Source: dev.to / 4 months ago
  • SSE, WebSockets, or Polling? Build a Real-Time Stock App with React and Hono
    Complexity: WebSockets require you to handle connection lifecycle events, such as errors and reconnections. While the code example I provided could suffice for simple use cases, more complex use cases might arise, like automatic reconnection and queueing messages sent by the client when the connection wasn't open. For that, you can either extend this code or use an external library like react-use-websocket for a... - 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 1 month 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 / 3 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 Socket.io and Plotly, you can also consider the following products

Firebase - Firebase is a cloud service designed to power real-time, collaborative applications for mobile and web.

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.

Pusher - Pusher is a hosted API for quickly, easily and securely adding scalable realtime functionality via WebSockets to web and mobile apps.

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

Histats - Start tracking your visitors in 1 minute!

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