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Ruttl VS Plotly

Compare Ruttl 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

Ruttl logo Ruttl

ruttl is the fastest website feedback tool to add comments & make edits on live websites & web apps, so that you can give precise change values to your developers. You can also collect feedback from your clients without login or sign-up!

Plotly logo Plotly

Low-Code Data Apps
  • Ruttl Landing page
    Landing page //
    2021-05-20

To review fully developed websites, currently, people take screenshots, encircle design issues and share them in a word document or have long meetings with the developers to implement the changes. The average time required to review any page using such methods is over 3-4 hours alone, which makes such methods inefficient and time-consuming!

Thatโ€™s why we built ruttl! Packed with powerful features, it allows users to add comments, edit content, track bugs, replace images, make design changes (& more) to web elements and share all kinds of changes needed to get implemented by developers. ruttl has streamlined the entire process of giving web design feedback and has become the favourite go-to design feedback tool for designers, developers, and agencies worldwide!

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

Ruttl features and specs

  • Comment on live websites
  • Edit live websites
  • Bug tracking
  • Video commenting
  • Review PDFs & Images
  • Guest commenting

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 Ruttl

Overall verdict

  • Overall, Ruttl is considered a good tool for teams needing an efficient and straightforward way to manage feedback and collaborate on web projects. Its ability to integrate smoothly into existing workflows and the positive user reviews attest to its effectiveness.

Why this product is good

  • Ruttl is a visual feedback and collaboration tool designed to streamline the process of web design and development. It allows users to provide and collect feedback on live websites, helping teams make precise design decisions faster. The platform's ease of use, intuitive interface, and real-time capabilities make it a popular choice among designers, developers, and project managers.

Recommended for

  • Web designers seeking a streamlined feedback process
  • Development teams wanting to improve collaboration
  • Project managers aiming to enhance workflow efficiency

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.

Ruttl videos

+ Add

Ruttl Demo Video

More videos:

  • Tutorial - Ruttl Feature: How To Review Mobile Design In Ruttl
  • Review - Easily Manage Web Dev Feedback with Ruttl!

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 Ruttl and Plotly)

Ruttl

Plotly

Customer Feedback
100 100%
Customer Feedback
0% 0
Data Visualization
0 0%
Data Visualization
100% 100
Productivity
100 100%
Productivity
0% 0
Charting Libraries
0 0%
Charting Libraries
100% 100

User comments

Share your experience with using Ruttl 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 Ruttl and Plotly

Ruttl Reviews

We have no reviews of Ruttl yet.
Be the first one to post

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

Ruttl mentions (3)

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 Ruttl and Plotly, you can also consider the following products

Markup.io - The easiest way to comment and share feedback on over 30 file types. Sign up for free, upload your content, drop a comment, and share for review. Yep, itโ€™s that simple.

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.

Marker.io - Visual feedback and bug reporting tool for websites

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

Pastel - Sticky note-based feedback collection tool for live websites

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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