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Wormhole.app VS Plotly

Compare Wormhole.app 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

Wormhole.app logo Wormhole.app

Wormhole lets you share files with end-to-end encryption and a link that automatically expires.

Plotly logo Plotly

Low-Code Data Apps
  • Wormhole.app Landing page
    Landing page //
    2022-07-19
  • Plotly Landing page
    Landing page //
    2023-07-31

Wormhole.app features and specs

  • End-to-End Encryption
    Wormhole.app uses strong end-to-end encryption (E2EE), ensuring that only the intended recipient can access the files. This provides a high level of security and privacy.
  • Fast Transfers
    The app leverages modern technology to enable quick file transfers. Files start downloading for the recipient as soon as they begin uploading, reducing wait times.
  • Easy to Use
    Wormhole.app offers a simple and intuitive user interface, making it accessible even for non-technical users. The drag-and-drop functionality further simplifies the file-sharing process.
  • Temporary Storage
    Files shared via Wormhole.app are automatically deleted after 24 hours, which helps in conserving storage space and maintaining privacy.
  • Large File Support
    Wormhole.app supports the sharing of large files up to 10GB, catering to users who need to transfer sizable amounts of data.

Possible disadvantages of Wormhole.app

  • 24-Hour Expiry
    While temporary storage is a pro for some, the 24-hour expiry time can be a limitation for users who need longer availability for their shared files.
  • No User Accounts
    The lack of user accounts means there is no way to track past transfers or retrieve links once they are lost, which could be inconvenient for some users.
  • Internet Dependency
    Wormhole.app requires a stable internet connection for both uploading and downloading files, which could be a limitation in areas with poor connectivity.
  • Browser-Based
    As a browser-based application, Wormhole.app might not offer the same level of integration and features as a dedicated desktop or mobile app.
  • File Size Limits
    Although the 10GB limit is generous, it may still be a constraint for users needing to transfer even larger files, such as extensive video projects or full datasets.

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 Wormhole.app

Overall verdict

  • Wormhole.app is a good choice for those who prioritize security and simplicity when transferring files. Its use of end-to-end encryption and temporary file links makes it a trustworthy option for privacy-conscious users.

Why this product is good

  • Wormhole.app is a secure file transfer service designed for ease of use and privacy. It uses end-to-end encryption to ensure that files are shared securely. The platform is known for its intuitive interface, fast transfer speeds, and the ability to handle large files efficiently. Files are typically shared using a simple link, which expires after a certain period to enhance security.

Recommended for

  • Individuals looking to share files securely and privately.
  • Teams that need to transfer large files quickly and easily.
  • Users who prefer a simple and intuitive interface without sacrificing security.
  • Anyone who requires a file-sharing solution that doesn't require setting up an account.

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.

Wormhole.app videos

No Wormhole.app videos yet. You could help us improve this page by suggesting one.

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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 Wormhole.app and Plotly)

Wormhole.app

Plotly

File Sharing
100 100%
File Sharing
0% 0
Data Visualization
0 0%
Data Visualization
100% 100
Secure File Sharing
100 100%
Secure 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 Wormhole.app and Plotly

Wormhole.app 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.
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, Wormhole.app should be more popular than Plotly. It has been mentiond 104 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.

Wormhole.app mentions (104)

  • Localsend: An open-source cross-platform alternative to AirDrop
    Also https://wormhole.app/, but feross is busy witch Socket and the myriad of NPM supply chain attacks nowadays. - Source: Hacker News / 2 months ago
  • Android and iPhone users can now share files, starting with the Pixel 10 family
    The official one is at https://wormhole.app. - Source: Hacker News / 8 months ago
  • Show HN: PinSend โ€“ Share text between devices using a PIN(P2P, no login)
    This is very nice and simple. A few areas for improvement, in my opinion: the URL should be easy to copy, paste, or type into another device. I'd suggest designing the route like pindsend.app/pin/CODEHERE. Also, for some reason, copying and pasting the URL didn't seem to work in its current form. I would also consider implementing a QR code to allow quick scanning and redirection on another device, especially a... - Source: Hacker News / about 1 year ago
  • Peer-to-peer file transfers in the browser
    Https://wormhole.app/ has been spared and is pretty good. Encrypted, dl can start before up is finished, decenr size limit. Unrelated to the wormhole python cli tool and associated file sharong protocol. - Source: Hacker News / over 1 year ago
  • Peer-to-peer file transfers in the browser
    There is: https://wormhole.app/ for the browser if one needs it. - Source: Hacker News / over 1 year 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 Wormhole.app and Plotly, you can also consider the following products

WeTransfer - WeTransfer is a free service to send big or small files from A to B.

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.

FilePizza - Open source application used to transfer file via WebRTC and WebTorrent.

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

Snapdrop - An open source alternative to Alternative to AirDrop.

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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