Software Alternatives, Accelerators & Startups

CKEditor 4 VS Plotly

Compare CKEditor 4 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.

CKEditor 4 logo CKEditor 4

CKEditor 4 is a rich text editor that enables you to write content inside of web pages or online applications.

Plotly logo Plotly

Low-Code Data Apps
  • CKEditor 4 Landing page
    Landing page //
    2022-07-08

CKEditor 4 is a smart WYSIWYG rich text editor that has been on the market since its launch in 2012. It allows software creators and developers to build stable and reliable writing solutions for applications of all sorts, within hours. Thanks to a plugin- and event-based architecture, ready-to-use builds, native integrations, extensive documentation, and reliable customer support, the editor can be easily tailored to your needs.

To create an intuitive and user-friendly writing experience, you can include features such as: Easy Image, Export to PDF, Paste from Word, Excel and Google Docs, Media embeds, widgets, code snippets, math formulas, Spreadsheets, Autocomplete, @mentions, and emoji ๐Ÿ˜Š support. Moreover, CKEditor 4 offers an optional Accessibility Checker for analyzing if the content created by users is accessible.

  • Plotly Landing page
    Landing page //
    2023-07-31

CKEditor 4 features and specs

  • Autocomplete
  • Code snippets
  • Easy Image
    Premium
  • Emoji support
  • Export to PDF
    Premium
  • Image plugins
  • Math formulas
    Premium
  • Media embeds
  • @Mentions
  • Paste from Word, Excel and Google Docs
  • Spreadsheets
    Premium
  • Tables support with columns resizing, selecting rows and columns
  • Widgets

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 CKEditor 4

Overall verdict

  • CKEditor 4 is considered a reliable and robust choice for developers looking for a fully-featured, customizable text editor. Its long-standing reputation and wide usage in the industry attest to its quality and effectiveness.

Why this product is good

  • CKEditor 4 is a highly popular WYSIWYG editor known for its rich set of features, flexibility, and ease of integration into web applications. It is suitable for both simple and complex editing tasks and has a large community support. The editor supports a wide range of plugins to extend its functionality, making it adaptable to various use cases.

Recommended for

  • Developers and companies looking for a versatile, feature-rich text editor.
  • Projects that require extensive customization and integration options.
  • Applications where end-users need advanced content editing and formatting capabilities.
  • Teams that value community support and reliable documentation.

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.

CKEditor 4 videos

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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 CKEditor 4 and Plotly)
Text Editors
100 100%
0% 0
Data Visualization
0 0%
100% 100
Rich Text Editor
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 CKEditor 4 and Plotly

CKEditor 4 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

Based on our record, Plotly should be more popular than CKEditor 4. 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.

CKEditor 4 mentions (10)

  • Show HN: Tilepieces โ€“ An open source project to visually editing HTML documents
    However, I think Ckeditor is (https://ckeditor.com/). You can find it in component format for tilepieces in the project https://github.com/tilepieces/component-examples. - Source: Hacker News / over 4 years ago
  • Pls, help it doesn't know why is showing an error on collectstatic. I tried everything that goes over every possible article which I found but nothing helped and I don't want to build the projects from zero since I already give 6 hours to set up it for the production server.
    It's CK Editor, a WYSIWYG text editor (a frontend component, so you wouldn't see it in your requirements.txt). I assume you're using it in a template somewhere? Otherwise why would collectstatic be looking for it? Source: over 4 years ago
  • Justnote - A privacy-focused note taking app built on Stacks
    Powered by one of the best rich text editor: CKEditor, all editing features like bold, underline, font color, and background color are supported. Source: over 4 years ago
  • Passing Arguments to ModelView edit template in flask-admin
    I have managed to override textarea with ckeditor. But I want to pass the paths of the images in the static folder to ckeditor image plugin. Source: over 4 years ago
  • Best WYSIWYG editor for Vue that supports structured content?
    CKeditor (https://ckeditor.com/) is worth looking at. Although it emits HTML by default, internally it uses a richer doc structure that supports versioning, concurrent collaborative editing, etc. There should be a way to access that structure. Source: over 4 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 / 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 CKEditor 4 and Plotly, you can also consider the following products

Sublime Text - Sublime Text is a sophisticated text editor for code, html and prose - any kind of text file. You'll love the slick user interface and extraordinary features. Fully customizable with macros, and syntax highlighting for most major languages.

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.

Notepad++ - A free source code editor which supports several programming languages running under the MS Windows environment.

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

VS Code - Build and debug modern web and cloud applications, by Microsoft

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.