Software Alternatives, Accelerators & Startups

Flexbox Grid VS Plotly

Compare Flexbox Grid VS Plotly and see what are their differences

Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Flexbox Grid logo Flexbox Grid

Grid based on CSS3 flexbox

Plotly logo Plotly

Low-Code Data Apps
  • Flexbox Grid Landing page
    Landing page //
    2023-09-21
  • Plotly Landing page
    Landing page //
    2023-07-31

Flexbox Grid features and specs

  • Responsive Design
    Flexbox Grid is designed to create complex layouts that adapt seamlessly to different screen sizes, facilitating responsive web design.
  • Simplified Alignment
    The use of Flexbox makes it easier to align and distribute space among items in a container without using floats or positioning.
  • Consistency
    Flexbox Grid provides a consistent layout structure, making it easier to maintain and scale web projects without layout issues.
  • Cross-Browser Compatibility
    Flexbox is supported by most modern browsers, ensuring that Flexbox Grid layouts work across various platforms.
  • Flexible Layouts
    Flexbox Grid allows for flexible and dynamic grid layouts that can be easily adjusted with CSS properties.

Possible disadvantages of Flexbox Grid

  • Learning Curve
    Flexbox Grid requires understanding Flexbox principles, which can be challenging for beginners who are not familiar with CSS Flexbox.
  • Limited Older Browser Support
    Older browsers may not fully support Flexbox properties, potentially creating issues in layout rendering.
  • Performance Overhead
    Using a grid framework can introduce additional performance overhead compared to custom CSS solutions tailored to specific needs.
  • Dependency
    Relying on a grid system like Flexbox Grid means adding a dependency to your project, possibly increasing maintenance concerns.

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.

Flexbox Grid videos

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

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Plotly videos

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 Flexbox Grid and Plotly)
Website Builder
100 100%
0% 0
Data Visualization
0 0%
100% 100
CSS Framework
100 100%
0% 0
Data Dashboard
0 0%
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 Flexbox Grid and Plotly

Flexbox Grid Reviews

Top 5 Bootstrap Alternatives
The Flexbox Grid, as the name suggests, is a grid system based on the CSS Flexbox properties. However, unlike the CSS technique, all the complexity is nicely abstracted away so that you focus only on placing elements the way you want. The best part is that all the code and class names mimic what you’d want in Bootstrap 4, which means switching between these two tools...
Source: geekflare.com

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.
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...
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.

Social recommendations and mentions

Based on our record, Plotly should be more popular than Flexbox Grid. It has been mentiond 33 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.

Flexbox Grid mentions (7)

  • I'm currently in the interview process for a Jr. Full Stack Developer position, and I was given this take-home test that has me on the verge of pulling my hair out.
    Not that everyone is the same but here's what I would do. 1) Start with how the data is organized by using Postman to fetch the JSON because they will give me an idea of the kind of data and how I should interact 2) Then proceed to the things I don't know well. In my case, Tabindexes: https://developer.mozilla.org/en-US/docs/Web/HTML/Global_attributes/tabindex Aria-labels:... Source: about 2 years ago
  • Why is tailwind so hyped?
    May you provide a specific scenario? A decade old 960gs provide a custom grid that could be easily tuned to any "proportion of the screen". Random super minimalistic http://flexboxgrid.com/ from the 10 seconds google search had a flex-basis param that could tune grid on the fly. Every other modern "flex css grid framework" has mediaqueries and basic components slapped on top. Barebones grid and flexbox provide... Source: over 2 years ago
  • Tailwind is now the most popular CSS framework in NPM
    Here is a great CSS library that is just the column system. http://flexboxgrid.com/ It has the same naming as bootstrap. I personally just use flex and grid since it so powerful I have no need for a grid system. I just use grid template columns and then flex for pretty much everything else. Tis is why I love Tailwind CSS. It so much more powerful it has all the break points for you and then just lets you get to... Source: over 2 years ago
  • Massive use of div containers in Yelp.com: is that really necessary?
    If it helps this is my go-to flex grid system when I start a new project. I usually build the big blocks using the utility classes provided by flexboxgrid (which is percentage-based), and then go in each component and fine tune each one. I also extended it a little bit to cover some uses cases that I felt it missed. Source: over 2 years ago
  • How to use this bootstrap grid alternative?
    Did you check out it's documentation? http://flexboxgrid.com/. Source: over 3 years ago
View more

Plotly mentions (33)

  • 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 / about 1 month 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 / 3 months 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 / 5 months 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 / 11 months ago
  • Python equivalent to power bi/power query?
    For dashboards: - https://plotly.com/ is probably my favourite, but there are others like streamlit, voila and others... Source: over 1 year ago
View more

What are some alternatives?

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

FlexboxPatterns - Build awesome user interfaces with CSS flexbox

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.

Simple Grid - Responsive & lightweight CSS grid for your website.

Chart.js - Easy, object oriented client side graphs for designers and developers.

Lucas Gruwez - 🏊 + ⛵️ + 👨‍💻 | 🇦🇺 ↔️ 🇧🇪

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