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Marker.io VS Plotly

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

Modelence
Create production-ready applications with zero code featured
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.
Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

Marker.io logo Marker.io

Visual feedback and bug reporting tool for websites

Plotly logo Plotly

Low-Code Data Apps
  • Marker.io Landing page
    Landing page //
    2023-08-02

Collect website feedback from your team, clients, and users.

Get feedback with screenshots & technical metadata directly into your favorite project management tool.

Say goodbye to messy emails, spreadsheets and powerpoint. There is a better way!

  • Plotly Landing page
    Landing page //
    2023-07-31

Marker.io

Website
marker.io
Pricing URL
Official Marker.io Pricing
$ Details
paid Free Trial $49.0 / Monthly (Up to 5 Users, Unlimited Integrations, Unlimited feedback)
Platforms
Browser Chrome OS Firefox Safari
Release Date
2017 June
Edit details

Plotly

Website
plotly.com
Pricing URL
Official Plotly Pricing
$ Details
-
Platforms
-
Release Date
-
Edit details

Marker.io features and specs

  • Ease of Use
    Marker.io's user interface is intuitive, making it simple for users to capture feedback and report bugs directly from their browser.
  • Integration Capabilities
    It seamlessly integrates with popular project management tools like Jira, Trello, Asana, GitHub, and more, allowing smooth workflow continuity.
  • Visual Feedback
    Users can easily annotate screenshots to provide clear and visual feedback, which improves the quality and efficiency of reported issues.
  • Real-time Collaboration
    The tool supports real-time collaboration, enabling team members to work together instantly on reported issues.
  • Browser Extensions
    Browser extensions for Chrome, Firefox, and others provide convenience, making it easy to capture and report bugs directly from any web page.
  • Automated Capture Details
    Automatically captures technical details about the user's environment (e.g., browser version, OS), which helps in diagnosing issues faster.

Possible disadvantages of Marker.io

  • Cost
    The pricing can be high for small teams or freelancers, especially when scaling the number of users.
  • Limited Customization
    While it integrates well with many tools, customization options within Marker.io itself can sometimes be limited, which may not fit all workflows.
  • Learning Curve for Advanced Features
    While basic functionalities are easy to use, there can be a learning curve to leverage more advanced features effectively.
  • Dependency on Third-Party Tools
    Heavy reliance on integrations means that any issues or limitations in the third-party tools can affect Marker.io's functionality.
  • Internet Dependency
    As a cloud-based solution, an active internet connection is required to capture and report bugs, which can be a limitation in offline scenarios.
  • Subscription Model
    The subscription-based pricing model may not be feasible for all users, and there's no one-time purchase option.

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 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.

Marker.io videos

+ Add

Product tour

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 Marker.io and Plotly)

Marker.io

Plotly

Visual Bug Reports
100 100%
Visual Bug Reports
0% 0
Data Visualization
0 0%
Data Visualization
100% 100
Bug Reporting
100 100%
Bug Reporting
0% 0
Charting Libraries
0 0%
Charting Libraries
100% 100

User comments

Share your experience with using Marker.io and Plotly. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare Marker.io and Plotly

Marker.io Reviews

Top 17 Best Bug Tracking Tools: an overview 19 Jun 2017
With this tool, users can convert screenshots from any website into a powerful bug report directly into your existing tools. Key features of Marker include screenshot annotation tools, shareable links and workflow integration. The tool can be integrated with tools such as Jira, Slack, Trello and Github (scrum and project management tools).
Source: mopinion.com
Top 10 Bug Tracking Tools for Web Developers and Designers
Marker is a bug tracker tool built with a wide variety of options to collaborate different tools and get every attention of web developer totally. It can capture information pertaining to the environment from which the bug was noticed and this could be of acutest levels like zoom, pixel ratio and user agent. This reduces a lot of frustration and development time when...
Source: www.w2ssolutions.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 Marker.io. 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.

Marker.io mentions (8)

  • UAT: A Quick Overview
    Marker.io is a feedback tool that allows users to attach product comments to a given UI component in an app. Itโ€™s overlaid on the UAT environment, and allows users to export screenshots and logs alongside their review comments. User feedback comments can be automatically converted to tickets. - Source: dev.to / over 1 year ago
  • Show HN: Pain of Requesting Screen Recordings/Screenshots from Users
    This is a really nice note and solution of the problem. What is the difference from your competitor https://marker.io/? - Source: Hacker News / over 3 years ago
  • Looking for a self-hosted marker.io alternative (FOSS) - Open Source Visual Feedback and Bug Tracking / reporting tool for websites
    I'm looking for a free and/or open source self-hosted alternative to marker.io for visual bug tracking/reporting. Source: over 3 years ago
  • Best bug tracker for small team (1 full-time dev)?
    Also keep an eye on this discussion to make issue forms available on private repos. Until this is possible, marker.io & Linear are a solution. Source: about 4 years ago
  • Distinguishing a painkiller from a vitamin
    I work for a really small startup ( https://marker.io ) that focuses on drastically improving website feedback workflows for agencies/ clients. In some cases agencies say:. Source: over 4 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 Marker.io and Plotly, you can also consider the following products

BugHerd - BugHerd: The Website Feedback Tool for Agencies

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.

Usersnap - Usersnap is a customer feedback software for SaaS companies that need to constantly improve and grow their products.

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

Userback - Userback empowers product teams to collect, understand, and act on user feedback with unprecedented speed and clarity.

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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