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Raygun VS Plotly

Compare Raygun VS Plotly and see what are their differences

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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

Raygun logo Raygun

Raygun gives developers meaningful insights into problems affecting their applications. Discover issues - Understand the problem - Fix things faster.

Plotly logo Plotly

Low-Code Data Apps
  • Raygun Landing page
    Landing page //
    2023-10-19
  • Plotly Landing page
    Landing page //
    2023-07-31

Raygun features and specs

  • Comprehensive Error Tracking
    Raygun provides detailed insights and diagnostics for errors, including stack traces, affected users, and environment information. This helps developers quickly identify and fix issues.
  • Real User Monitoring
    Raygunโ€™s Real User Monitoring (RUM) feature tracks actual user sessions, giving insights into user experience, performance metrics, and identifying bottlenecks in real-time.
  • Crash Reporting
    Raygun offers robust crash reporting for both mobile and web applications, which helps in identifying, diagnosing, and resolving application crashes effectively.
  • Integrations
    Raygun integrates seamlessly with many development tools like JIRA, Slack, GitHub, and others, enabling smooth workflow management and collaboration.
  • Custom Dashboards
    Users can create custom dashboards tailored to their specific needs, helping them track important metrics and outcomes at a glance.
  • Performance Monitoring
    Raygunโ€™s performance monitoring allows you to keep an eye on application performance, detecting slow load times, and providing actionable insights to improve speeds.
  • User Tracking
    Raygun can track specific user sessions which helps in understanding how individual users are affected by bugs and performance issues.

Possible disadvantages of Raygun

  • Cost
    Raygun can be relatively expensive compared to some other error-monitoring tools, especially for small businesses or startups.
  • Steep Learning Curve
    New users may find the platform complex initially, requiring time and effort to understand all the features and functions.
  • Limited Free Tier
    The free tier of Raygun is limited in terms of features and usages, which may not be sufficient for growing projects or enterprises.
  • Overhead
    Integrating Raygun into projects may introduce some performance overhead, particularly if not configured properly.
  • Alert Fatigue
    Raygun can generate a large number of alerts, which can lead to alert fatigue and make it difficult to prioritize critical issues without proper filtering and configurations.

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 Raygun

Overall verdict

  • Raygun is a solid choice for teams looking for comprehensive error tracking and real user monitoring. Its robust feature set and user-friendly interface make it a strong contender in the application monitoring space.

Why this product is good

  • Raygun is widely regarded as a good error and performance monitoring tool because it provides detailed crash reports, real-time user monitoring, and integrates seamlessly with a variety of development tools. It helps developers identify and resolve issues quickly, offering clear insights into the root cause of errors and how they affect user experiences.

Recommended for

  • Developers who need detailed crash reports and diagnostics.
  • Teams looking for real-time performance monitoring.
  • Organizations that require effective integration with existing development workflows.
  • Software companies that want to optimize end-user experiences.

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.

Raygun videos

+ Add

Nike Dunk SB โ€œRaygunโ€ Review & On Feet

More videos:

  • Review - 2019 K2 Raygun Snowboard Review
  • Review - The K2 Raygun Snowboard Review

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 Raygun and Plotly)

Raygun

Plotly

Error Tracking
100 100%
Error Tracking
0% 0
Data Visualization
0 0%
Data Visualization
100% 100
Monitoring Tools
100 100%
Monitoring Tools
0% 0
Charting Libraries
0 0%
Charting Libraries
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 Raygun and Plotly

Raygun Reviews

6 Bugsnag Alternatives to Consider in 2021
RayGun is close to being the perfect error monitoring solution in the market, owing to its support for nearly all frameworks and languages. Its SDKs are also known to be very lightweight. RayGun can sort through errors intelligently and help you identify the segment of users affected by a specific issue. Another striking feature of RayGun is that it provides crystal clear...
Source: scoutapm.com
10 Best Application Monitoring Tools for all Platforms
Raygun seems so effective to alert you when you got your app crashed by gathering the data and send it to your email by notification. It is quite simple, but Raygun is effective and real-time. Suppose you have some difficulties to find some bugs in your app, then you can use the search function feature available. Therefore, it is a good idea if you put this application...
Source: www.technig.com
The top 19 APM tools in 2020
Application Performance Monitoring (APM) from Raygun offers a comprehensive solution that enables you to monitor the performance of your applications from one central location. Crash Reporting, Real User Monitoring, and APM software work together to provide real-time data about the user experience and performance, which you can easily leverage to identify bottlenecks. Simply...
Source: raygun.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.
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 thatโ€™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, Plotly should be more popular than Raygun. It has been mentiond 34 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.

Raygun mentions (8)

  • Best Practices for Consistent API Error Handling
    Tools like Sentry support distributed tracing in over 15 languages, while Raygun offers deployment correlation to pinpoint issues [2]. - Source: dev.to / over 1 year ago
  • 12 Best Instabug Alternatives For Debugging In 2025
    Raygun is the application monitoring and error tracking tool, which helps developers find and diagnose, hence resolve the issue in real time. It gives detailed crash reports, performance insights, and user session data to ensure the general application reliability and user experience. Raygun has support for all web, mobile, and backend systems and also supports integrating with tools such as Jira and Slack for... - Source: dev.to / over 1 year ago
  • Sentry Alternatives for Better Error Tracking
    Raygun is a comprehensive software monitoring and performance management platform that helps developers and teams deliver high-quality, error-free software experiences for their users. The tool provides a suite of features to monitor, diagnose, and resolve issues across web and mobile applications. - Source: dev.to / almost 2 years ago
  • 10 best Javascript debugging tools
    Raygun is a cloud-based platform that makes sure your web and mobile applications are free of errors, as well as your users are satisfied. It specializes in JavaScript error monitoring and offers a wide range of features to help you easily detect and fix issues. - Source: dev.to / over 2 years ago
  • How Handle Bugs in Agile Development
    We can make the process a little easier by using our agile processes together with a continuous deployment strategy. For example, our friends at Raygun, discovered that โ€œwhen a team gets locked into a sprint it can become much harder to recognize and fix bugsโ€. - Source: dev.to / almost 3 years ago
View more

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 / 4 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!๐Ÿค“
    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 / over 1 year 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
View more

What are some alternatives?

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

Sentry.io - From error tracking to performance monitoring, developers can see what actually matters, solve quicker, and learn continuously about their applications - from the frontend to the backend.

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.

Rollbar - Rollbar collects errors that happen in your application, notifies you, and analyzes them so you can debug and fix them. Ruby, Python, PHP, Node.js, JavaScript, and Flash libraries available.

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

Datadog - See metrics from all of your apps, tools & services in one place with Datadog's cloud monitoring as a service solution. Try it 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.

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