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Plotly VS QuickTile

Compare Plotly VS QuickTile and see what are their differences

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  3. » Reviews
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Plotly logo Plotly

Low-Code Data Apps

QuickTile logo QuickTile

A lightweight utility for allowing you to quickly snap windows to a tiling grid under your existing...
  • Plotly Landing page
    Landing page //
    2023-07-31
  • QuickTile Landing page
    Landing page //
    2021-09-29

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.

QuickTile features and specs

  • Ease of Use
    QuickTile provides a straightforward approach to window tiling, allowing users to manage window layouts efficiently without complex configurations.
  • Customization
    It supports extensive customization, enabling users to define their own tiling layouts and shortcuts to suit their workflow needs.
  • Lightweight
    QuickTile is lightweight and doesn't consume significant system resources, making it suitable for older or less powerful machines.
  • Cross-Platform
    QuickTile is compatible with various Linux distributions, making it accessible to a wide range of Linux users.

Possible disadvantages of QuickTile

  • Linux Only
    QuickTile is designed for Linux systems, which means users on other operating systems like Windows or macOS cannot use it.
  • Limited Features
    Compared to full-fledged tiling window managers, QuickTile offers a more limited set of features focused solely on tiling.
  • Manual Configuration
    Some users may find the initial setup and configuration to be manual and time-consuming, especially if they want to tailor their shortcuts extensively.
  • No GUI
    QuickTile operates without a graphical user interface, which might not appeal to users who prefer visual configuration tools.

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.

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

QuickTile videos

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

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Category Popularity

0-100% (relative to Plotly and QuickTile)

Plotly

QuickTile

Data Visualization
100 100%
Data Visualization
0% 0
Window Manager
0 0%
Window Manager
100% 100
Charting Libraries
100 100%
Charting Libraries
0% 0
OSX Tools
0 0%
OSX Tools
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 Plotly and QuickTile

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 that’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

QuickTile Reviews

We have no reviews of QuickTile yet.
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Social recommendations and mentions

Based on our record, Plotly should be more popular than QuickTile. 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.

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 / 6 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!🤓
    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 / almost 2 years 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

QuickTile mentions (4)

  • My (challenging) experience building a window switcher for Ubuntu
    As the author of QuickTile, which is written in Python but even closer to what you describe than a window manager would be, I have to say that, yeah, doing X11 stuff takes a lot of knowledge that's not ideally documented in non-print sources. Source: over 3 years ago
  • Rust's problematic reliance on GitHub
    Actually, I plan to add a .nojekyll file and then use something like Pelican with custom plugins, then set GitHub Actions to run my update.sh on push... Similar to how http://ssokolow.com/quicktile/ is a Sphinx-based site hosted on GitHub Pages and automatically regenerated from the pushed sources. Source: over 4 years ago
  • tilling wm on elementary os ?
    I've been using ssokolow.com/quicktile for this purpose, it does what I need and doesn't replace the wm. Source: over 4 years ago
  • Converting an array, slice or vector to base58 encoding WITH check
    The best I could do for the API documentation for this project of mine was to use the automodule directive to autogenerate at the coarsest level possible and remember to never create new .py files if I could possibly avoid it. Source: about 5 years ago

What are some alternatives?

When comparing Plotly and QuickTile, you can also consider the following products

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.

GridMove - GridMove - A window management tool that can quickly arrange your windows into desktop grids.

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

Preme for Windows - Speeds up your window switching.

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.

WinDock - WinDock is a window manager ideal for large, or multi-monitor setups. Features:

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