Software Alternatives, Accelerators & Startups

Draft.js VS Plotly

Compare Draft.js VS Plotly and see what are their differences

Draft.js logo Draft.js

Rich Text Editor Framework for React

Plotly logo Plotly

Low-Code Data Apps
  • Draft.js Landing page
    Landing page //
    2022-03-29
  • Plotly Landing page
    Landing page //
    2023-07-31

Draft.js features and specs

  • Rich Text Editing
    Draft.js provides a powerful framework for building rich text editors with a high level of customization, allowing developers to implement various formatting and styling options with ease.
  • Immutable.js Integration
    Draft.js uses Immutable.js to manage editor state, which can lead to improved performance and easier state management, as it helps avoid unnecessary re-renders and mutations.
  • Extensibility
    The library offers the ability to create custom blocks, decorations, and plugins, enabling developers to extend and tailor the editor's behavior to their specific needs.
  • Facebook Support
    Draft.js is developed and maintained by Facebook, which suggests a certain level of reliability and indicates a strong backing in terms of updates and community support.
  • Comprehensive Documentation
    The library is well-documented, with comprehensive guides and examples that help developers get started quickly and understand the full potential of the framework.

Possible disadvantages of Draft.js

  • Complexity
    Draft.js has a steep learning curve, especially for developers who are not familiar with React or Immutable.js, as it requires understanding its unique architecture and concepts.
  • Bundle Size
    The inclusion of Immutable.js can lead to a larger bundle size for web applications, which might be a concern for developers aiming for minimalistic and fast-loading applications.
  • Limited Built-in Features
    Draft.js provides a basic editor out of the box, which means developers often need to implement or find third-party plugins for advanced features like tables, embedded media, or collaborative editing.
  • Customizability Overhead
    While high customizability is a strength, it also means that basic implementations may involve more boilerplate code and setup compared to other, more out-of-the-box solutions.
  • Sparse Updates
    Draft.js does not receive updates as frequently as some other open-source projects, which can lead to uncertainty around the timeline for bug fixes or new feature implementations.

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 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.

Draft.js videos

Live coding โ€“ย Draft.js copy-paste fix

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 Draft.js and Plotly)
Developer Tools
100 100%
0% 0
Data Visualization
0 0%
100% 100
Text Editors
100 100%
0% 0
Charting Libraries
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 Draft.js and Plotly

Draft.js 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.
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 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.

Social recommendations and mentions

Plotly might be a bit more popular than Draft.js. We know about 34 links to it since March 2021 and only 28 links to Draft.js. 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.

Draft.js mentions (28)

  • Rebuilding a web text editor
    Therefore, we wanted to choose a low-level framework that would solve most of the issues related to text input. We settled on Draft.js, which was quite popular at the time (2020). All we had to do was integrate it into our current system, attach it to the data storage, and implement the ability to edit styles with our constructorโ€”done. - Source: dev.to / 8 months ago
  • Introducing react-rte-light: A Lightweight Rich Text Editor for React
    Are you looking for a lightweight, flexible, and modern rich text editor for your React applications? Look no further! I'm excited to share react-rte-light, a TypeScript-based rich text editor built with Draft.js. Itโ€™s designed to work seamlessly with React 16.8 to 19, offering a minimal-dependency alternative to heavier editors like React Quill. Whether you're building a blog platform, a note-taking app, or a... - Source: dev.to / 12 months ago
  • Lexical 0.24 with Vanilla JS: Getting started
    Lexical is an open source project and considered the successor of Draft.js. It is primarily developed by Meta, licensed under MIT. It is not restricted to React, but supports Vanilla JS, too. The flexibility enables us to integrate it with other JS libraries such as Svelte and Vue. - Source: dev.to / over 1 year ago
  • Ask HN: Is there a licensable/free version of the "Substack" email editor?
    - https://draftjs.org/ If you're talking about liking the full experience with settings and previews, that I'm afraid is all custom built. I can't imagine an open source reusable one being out there, but I could be wrong! - Source: Hacker News / almost 2 years ago
  • Which Rich Text Editor to use ?
    I've always used Quill and always satisfied with it. It can be adapted to React Native as well. Despite the most popular RTE is Draft js it has some limitations on mobile. Source: about 3 years ago
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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 / 5 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 Draft.js and Plotly, you can also consider the following products

Quill - Powerful, API-driven rich text editor

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.

Next.js - A small framework for server-rendered universal JavaScript apps

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

ProseMirror - A toolkit for building rich-text editors on the web

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.