Software Alternatives & Startups

Pusher Beams VS Plotly

Compare Pusher Beams 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.

Pusher Beams logo Pusher Beams

Send push notifications programmatically at scale

Plotly logo Plotly

Low-Code Data Apps
  • Pusher Beams Landing page
    Landing page //
    2023-10-21
  • Plotly Landing page
    Landing page //
    2023-07-31

Pusher Beams features and specs

  • Ease of Integration
    Pusher Beams provides simple and well-documented APIs and SDKs for various platforms, making it easy for developers to integrate push notifications into their applications quickly.
  • Cross-Platform Support
    Beams supports multiple platforms including iOS, Android, and web, allowing developers to manage push notifications for different environments through a single service.
  • Scalability
    Pusher Beams is built to handle large volumes of notifications efficiently, making it a suitable choice for applications with a growing or large user base.
  • Reliability
    The service uses robust infrastructure to ensure the delivery of notifications, even under heavy loads, which enhances the reliability of the communication.
  • Advanced Features
    Beams offers advanced features such as user segmentation and detailed analytics, aiding in the creation of targeted notification campaigns and performance tracking.

Possible disadvantages of Pusher Beams

  • Cost
    While Pusher Beams offers a free tier, the costs can increase significantly with scale, which may be a consideration for smaller projects or startups.
  • Dependency
    Using a third-party service like Pusher Beams means additional dependency on their infrastructure and uptime, which could be a risk if the service experiences downtime.
  • Limited Customization
    While the service offers many built-in features, there may be limitations when it comes to custom use cases or very specific requirements that fall outside the provided capabilities.
  • Data Privacy
    Using any external service to handle user data introduces potential privacy concerns, particularly if the application involves sensitive information that needs stringent privacy controls.
  • Notification Delivery Limits
    There can be limits on the number of push notifications that can be sent per month or per second, which might necessitate significant planning and optimization for high-traffic applications.

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.

Analysis of Pusher Beams

Overall verdict

  • Pusher Beams is a strong choice for developers looking to implement push notifications with minimal hassle. It excels in ease of use, reliability, and scalability, making it particularly advantageous for applications requiring interactive and user-specific notifications.

Why this product is good

  • Pusher Beams is considered good because it provides a reliable and straightforward way to send push notifications to iOS and Android devices. It offers a simple API, integrates easily with existing applications, and ensures high delivery rates with real-time updates. The platform is favored for its ability to handle complex notification requirements, such as user segmentation and personalized messages, without the need for extensive setup or maintenance.

Recommended for

    Pusher Beams is recommended for developers and teams building mobile applications who need to send targeted push notifications. It's ideal for startups, small to medium-sized businesses, and enterprise-level applications that require effective communication with users through personalized, real-time notifications.

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.

Pusher Beams videos

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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 Beams and Plotly)
Mobile Push Messaging
100 100%
0% 0
Data Visualization
0 0%
100% 100
Developer Tools
100 100%
0% 0
Charting Libraries
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 Beams and Plotly

Pusher Beams Reviews

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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, Plotly seems to be a lot more popular than Pusher Beams. While we know about 34 links to Plotly, we've tracked only 3 mentions of Pusher Beams. 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 Beams mentions (3)

  • How to enable HTTPS in Laravel Homestead
    I met this need because I am working on browser notifications for Inspector using Pusher/Beams. But Beams requires that the application be necessarily served over HTTPS. It is required also in the local development environment. - Source: dev.to / over 4 years ago
  • Push notifications from web app
    Lots of options, but Laravel already integrates with Pusher for websockets; https://pusher.com/beams is their push notification system, and it's fairly easy to add to Laravel. Source: over 4 years ago
  • Free for dev - list of software (SaaS, PaaS, IaaS, etc.)
    Pusher.com — Free, unlimited push notifications for 2000 monthly active users. A single API for iOS and Android devices. - Source: dev.to / about 5 years ago

Plotly mentions (34)

  • How to Analyze 47 Million Hacker News Posts: A Data Scientist's Dream Dataset Just Got Better
    Let's dive into some practical examples. First, you'll need to set up your environment with the right tools. I recommend using pandas for data manipulation and plotly for visualization. - Source: dev.to / 6 months ago
  • 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 / over 1 year 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 / over 1 year 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 / almost 2 years 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 / about 2 years ago
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What are some alternatives?

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

Push Notification Preview - A simple tool for previewing push notification copy

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.

OneSignal - Customer engagement platform used by over 1 million developers and marketers; the fastest and most reliable way to send mobile and web push notifications, in-app messages, emails, and SMS.

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

Mentioned By - Learn when your site is mentioned by other sites for free

Tableau - Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.