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Fluid VS Plotly

Compare Fluid 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

Fluid logo Fluid

Turn Your Favorite Web Apps into Real Mac Apps.

Plotly logo Plotly

Low-Code Data Apps
  • Fluid Landing page
    Landing page //
    2021-07-29
  • Plotly Landing page
    Landing page //
    2023-07-31

Fluid features and specs

  • Dedicated Browsers
    Fluid creates site-specific browsers that allow users to have dedicated apps for their favorite web pages. This can enhance focus and organization by keeping tasks separate from regular web browsing.
  • Custom User Experience
    Each Site Specific Browser (SSB) can have a custom icon and name, providing a more personalized and aesthetically pleasing user interface.
  • Resource Management
    Having dedicated apps for regularly used web services can minimize the use of browser tabs and extensions, potentially leading to better performance and resource management.
  • Independence from Web Browser
    Fluid apps are independent of the main web browser. This means that if your browser crashes or has issues, your Fluid apps remain unaffected.
  • Enhanced Productivity
    By converting web apps into standalone desktop applications, users can more easily compartmentalize their work, leading to enhanced productivity.

Possible disadvantages of Fluid

  • Limited to MacOS
    Fluid is available only for MacOS, which limits its usability to Mac users and excludes users on other operating systems like Windows or Linux.
  • Manual Updates
    Users need to manually update each Site Specific Browser (SSB) created through Fluid, as these do not automatically update like regular browser tabs.
  • Security Risks
    As Fluid apps are essentially wrappers for web pages, they are subject to the same security risks as any web browser. Users need to ensure they are visiting trusted sites.
  • Limited Functionality
    Unlike full-fledged desktop applications, Fluid apps might have limited native functionality. They rely heavily on the web app's own features and may lack advanced desktop integrations.
  • Cost for Full Features
    While Fluid is free to use, certain advanced features, such as pinning apps to the status bar, require a one-time purchase of Fluid's paid version.

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 Fluid

Overall verdict

  • Fluid is a good option for macOS users who find themselves frequently switching between web applications and want a more streamlined process. It's especially useful for those who prefer to keep web app sessions isolated or those who enjoy customizing their workflows. However, consider that it is only available for macOS and may not support all features of more complex web applications.

Why this product is good

  • Fluid (fluidapp.com) allows users to create site-specific browsers, which can be useful for treating web applications as standalone apps on macOS. This can help with productivity by preventing web distractions and organizing workflows. Fluid is particularly beneficial if you frequently use web apps and want them to function like native applications with their own dock icons and separate sessions.

Recommended for

  • MacOS users looking to create desktop-like experiences for web applications.
  • Individuals seeking to minimize distractions from other open tabs in a standard browser.
  • Users who need isolated sessions for different web applications.
  • People who appreciate customizing their desktop workflow.

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.

Fluid videos

+ Add

Primochill Vue Fluid Review

More videos:

  • Review - FluidReview - Accept Online Applications and Submissions and Review
  • Review - Golden Matte Fluid Acrylic Review โ€ข An Alternative to Gouache?

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 Fluid and Plotly)

Fluid

Plotly

Development Tools
100 100%
Development Tools
0% 0
Data Visualization
0 0%
Data Visualization
100% 100
Group Chat & Notifications
100 100%
Group Chat & Notifications
0% 0
Charting Libraries
0 0%
Charting Libraries
100% 100

User comments

Share your experience with using Fluid 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 Fluid and Plotly

Fluid Reviews

10+ Best Prototyping Tools for UI/UX Designers in 2018
With a strong focus on simplicity and communication, Fluid UI great Prototyping tools. Having built-in high and low fidelity component libraries, live team collaboration, device previews and video presentations making it a top-notch solution for designers, product managers and founders alike.
Source: blog.prototypr.io

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 Fluid. 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.

Fluid mentions (19)

  • ToDesktop โ€“ Web app to desktop app in minutes
    > Is ToDesktop For Me? > If you want to make a desktop app of a website for your personal use, ToDesktop is overkill. I just want to point out that a lot of us "pros" learn how to use tools like this by semi-personal use. Therefore, you might want to consider a free personal version that's crippled in a mildly annoying way: For example, no installer, don't sign the app, and have an easily-ignorable nag. (Therefore... - Source: Hacker News / almost 3 years ago
  • in safari Sonoma, do profiles act like containers ? (firefox container)
    If you haven't used Fluid - https://fluidapp.com , I would recommend trying the free download. Source: about 3 years ago
  • Why is it so hard to change Chromium's UI?
    You can use Min, Fluid or any browser with full screen mode to have the same effect. Source: over 3 years ago
  • Safari Window Management
    Https://fluidapp.com/ might do it for you. Other applications like this also exist. Source: over 3 years ago
  • Web Push for Web Apps on iOS and iPadOS
    Does Fluid[1] work as a solution for you? Iโ€™m on an older OS with an older version but I love it for creating single-site apps. [1] https://fluidapp.com/. - Source: Hacker News / 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 Fluid and Plotly, you can also consider the following products

WebCatalog - Run your favorite web apps natively

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.

Nativeifier - Turn any webpage into a native app

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

Coherence X - Coherence X4 is a powerful tool that allows you to turn any website into a chromium-based, isolated, native application on your Mac.

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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