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Puter VS Plotly

Compare Puter 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

Puter logo Puter

Puter is a cloud operating system. Store, open, and edit your files from anywhere at any time in the cloud.

Plotly logo Plotly

Low-Code Data Apps
  • Puter Landing page
    Landing page //
    2023-01-03
  • Plotly Landing page
    Landing page //
    2023-07-31

Puter features and specs

  • User-friendly Interface
    Puter offers an intuitive and easy-to-navigate interface that makes it simple for users of all technical levels to interact with the platform effectively.
  • Comprehensive Features
    The platform provides a wide range of features that cater to diverse user needs, ensuring that all necessary functionalities are at the userโ€™s fingertips.
  • Reliable Performance
    Puter is known for its robust performance with minimal downtime, ensuring users can rely on it for critical operations without disruptions.
  • Strong Support
    Offers excellent customer support with knowledgeable staff who provide timely assistance and problem resolution.
  • Frequent Updates
    Regularly provides updates that introduce new features and enhancements to keep the software current and useful for modern needs.

Possible disadvantages of Puter

  • High Cost
    Puter can be expensive compared to similar platforms, which may be a barrier for smaller organizations or individual users.
  • Steep Learning Curve
    While the interface is user-friendly, some of the more advanced features require a significant amount of time and effort to master effectively.
  • Limited Customization
    The platform offers limited opportunities for customization, which may be a drawback for users looking for highly personalized solutions.
  • Resource Intensive
    Puter might require more computing resources, which can slow down performance on older hardware or less powerful systems.
  • Occasional Bugs
    Despite its reliability, users sometimes encounter bugs, particularly following updates, that can temporarily hinder functionality.

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.

Puter videos

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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 Puter and Plotly)

Puter

Plotly

Cloud Storage
100 100%
Cloud Storage
0% 0
Data Visualization
0 0%
Data Visualization
100% 100
File Sharing
100 100%
File Sharing
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 Puter and Plotly

Puter Reviews

We have no reviews of Puter yet.
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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.
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 Puter. 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.

Puter mentions (12)

  • After 2 years of hard work, Puter finally enters beta!
    I'm extremely excited to announce that Puter which was first announced on this subreddit is now in beta. Source: about 3 years ago
  • Copycat
    How did you make puter.com run a file,what format does it need to be in. Source: about 3 years ago
  • What happens when you reach #1 on Hacker News
    Around two months ago my startup Puter hit #1 on Hacker News. Source: over 3 years ago
  • My personal "OS in the browser" is nearly POSIX-compliant!
    If puter.com becomes a subscription service, then it will have a revenue stream separate from advertising. If the service is free, then the users are the product (attention being sold to the highest advertising bidder). Source: over 3 years ago
  • Cloud Based Desktop Environment
    Thanks! None is exactly what I'm looking for, but they look very processing. I actually found another one after I wrote the post called Puter https://puter.com/ that looks interesting, but it's in alpha. Source: over 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 Puter and Plotly, you can also consider the following products

daedalOS - daedalOS is a recreation of the desktop environment experience on the web.https://dustinbrett.com/

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.

Windows 96 - Windows 96 is a recreation of Windows 98 in the browser.

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

Google Chrome - Google Chrome is a fast, secure, and free web browser, built for the modern web. Give it a try on your desktop today.

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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