Software Alternatives, Accelerators & Startups

Pusher VS Plotly

Compare Pusher VS Plotly and see what are their differences

Pusher logo Pusher

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

Plotly logo Plotly

Low-Code Data Apps
  • Pusher Landing page
    Landing page //
    2023-10-05
  • Plotly Landing page
    Landing page //
    2023-07-31

Pusher features and specs

  • Real-Time Capabilities
    Pusher offers real-time data transfer, enabling instant updates and live feeds without the need for page refreshes. Its WebSockets-based architecture ensures low latency communication.
  • Ease of Use
    The API is straightforward to integrate, with comprehensive documentation and SDKs for various programming languages and platforms, making implementation quick and painless.
  • Scalability
    Pusher can handle a large number of concurrent connections, making it suitable for applications that need to scale seamlessly as user demand grows.
  • Security
    Pusher provides built-in authentication and authorization options, ensuring that data is secure and accessible only to authorized users.
  • Managed Service
    As a managed service, it eliminates the need for maintaining the infrastructure for real-time functionality, freeing up resources and reducing operational complexity.

Possible disadvantages of Pusher

  • Cost
    Pusher can become expensive, especially for applications with high traffic or requiring a large number of concurrent connections, making it less suitable for startups or small-scale projects on a tight budget.
  • Vendor Lock-In
    Relying heavily on Pusher's services can lead to vendor lock-in, making it challenging to migrate to another service or in-house solution in the future.
  • Limited Offline Functionality
    Pusher is designed for real-time online communication, and it does not inherently support offline capabilities, which can be a limitation for applications that need to function without a constant internet connection.
  • Complexity for Advanced Use Cases
    While it's easy to set up for basic use cases, implementing more complex scenarios may require additional configuration and a deeper understanding of the architecture.
  • Latency
    Even though Pusher boasts low-latency communication, network conditions and geographical distances can still introduce lag, which might not be acceptable for ultra-low-latency requirements like high-frequency trading.

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.

Pusher videos

Mark Kermode reviews Pusher

More videos:

  • Review - Pusher (1996) - Movie Review
  • Review - Film Recommendations: The Pusher Trilogy

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 Pusher and Plotly)
Mobile Push Messaging
100 100%
0% 0
Data Visualization
0 0%
100% 100
Developer Tools
100 100%
0% 0
Data Dashboard
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 Pusher and Plotly

Pusher Reviews

SignalR Alternatives
Pusher as a signal Alternative comes into the picture when it is simple and has free plans for the fallback of SSE to make the frame and log polling also available to the developers for troubleshooting as well.
Source: www.educba.com

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, Pusher should be more popular than Plotly. It has been mentiond 55 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.

Pusher mentions (55)

  • 5 Must-Watch Tutorials to Build Your SaaS App in 2025
    In this tutorial, you’ll create a Next.js project with TailwindCSS and build custom authentication pages for Clerk without the watermark. This means you’ll create a custom Clerk authentication component, allowing you to have a UI without the Clerk branding in the authentication component. You’ll then set up file uploads using Uploadcare and create custom theming with Shadcn UI for light and dark modes. A real-time... - Source: dev.to / 2 months ago
  • PubNub vs Pusher creating a realtime messaging app in React
    When talking about general IM applications, having the ability to speak to someone in real-time opens up the door to so many unique possibilities. Our world has become ever more connected as a result of these newfound capabilities. In todays article we will learn all about messaging as we build a real-time messaging application. The application will be able to connect to two different real-time application... - Source: dev.to / 8 months ago
  • 10 Must-Use APIs for Your Next SaaS Project
    For real-time notifications, Pusher’s APIs allow you to implement in-app notifications, chat features, and collaboration tools easily. You can find it here. - Source: dev.to / 8 months ago
  • How to Build a Real-time Chat App with Laravel, Vue.js, and Pusher
    Pusher is a cloud-hosted service that makes adding real-time functionality to applications easy. It acts as a real-time communication layer between servers and clients. This allows your backend server to instantly broadcast new data via Pusher to your Vue.js client. - Source: dev.to / 8 months ago
  • Show HN: Webhooked.email (2023)
    Feature request received! Pusher as in this thing -- https://pusher.com/ right? Any other places you want to push to? Slack? - Source: Hacker News / 9 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 Pusher and Plotly, you can also consider the following products

Socket.io - Realtime application framework (Node.JS server)

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.

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

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

PubNub - PubNub is a real-time messaging system for web and mobile apps that can handle API for all platforms and push messages to any device anywhere in the world in a fraction of a second without having to worry about proxies, firewalls or mobile drop-offs.

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