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Plotly VS Atomize by Quarkly

Compare Plotly VS Atomize by Quarkly and see what are their differences

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Contents:
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Plotly logo Plotly

Low-Code Data Apps

Atomize by Quarkly logo Atomize by Quarkly

Library for creating atomic react components
  • Plotly Landing page
    Landing page //
    2023-07-31
  • Atomize by Quarkly Landing page
    Landing page //
    2020-08-05

Our Quarkly project is a mix of a graphic editor (like Figma and Sketch) and website builder (similar to Webflow), complemented by features of traditional IDE. We’ll be sure to elaborate on Quarkly in a separate post, as there is plenty to tell and show, but today we’ll focus on the details of the Atomize tool.

Atomize is the heart of the whole project, as it allows us to solve tasks that would be difficult or even impossible to handle using styled-system and rebass. At the very least, the latter solution is much less elegant.

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.

Atomize by Quarkly features and specs

  • Customizable Components
    Atomize by Quarkly offers highly customizable components, allowing developers to tailor design elements to specific project requirements easily.
  • Integration with Quarkly
    Atomize is designed to work seamlessly with Quarkly, providing a consistent workflow for developers using both tools.
  • Rapid Prototyping
    The tool facilitates quick prototyping of design layouts and interactions, making it ideal for fast-paced development environments.
  • Responsive Design Support
    Atomize by Quarkly includes features that support the creation of responsive designs, ensuring projects look great on all devices.

Possible disadvantages of Atomize by Quarkly

  • Learning Curve
    New users may experience a learning curve when getting acquainted with the software, which may slow down the initial setup and development process.
  • Limited Community and Resources
    Compared to more established design systems, Atomize by Quarkly may have fewer community contributions and resources, potentially impacting troubleshooting and expanding knowledge.
  • Potential Overhead
    For smaller projects, the features offered by Atomize might be excessive, adding unnecessary complexity to the development process.

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

Atomize by Quarkly videos

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

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Category Popularity

0-100% (relative to Plotly and Atomize by Quarkly)

Plotly

Atomize by Quarkly

Data Visualization
100 100%
Data Visualization
0% 0
Design Tools
0 0%
Design Tools
100% 100
Data Dashboard
100 100%
Data Dashboard
0% 0
Developer Tools
0 0%
Developer 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 Atomize by Quarkly

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

Atomize by Quarkly Reviews

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Social recommendations and mentions

Based on our record, Plotly seems to be more popular. 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.

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 / 2 months 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 / 4 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 / 6 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 / 12 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

Atomize by Quarkly mentions (0)

We have not tracked any mentions of Atomize by Quarkly yet. Tracking of Atomize by Quarkly recommendations started around Mar 2021.

What are some alternatives?

When comparing Plotly and Atomize by Quarkly, 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.

Rebass - React primitive UI components built with Styled System

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

React Rainbow Components - Build your web application in a snap.

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

Framer - 🔥 Design real websites right on the canvas.

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