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Strapi VS Plotly

Compare Strapi VS Plotly and see what are their differences

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Strapi logo Strapi

Manage any content. Anywhere. The leading open-source headless CMS. 100% JavaScript / TypeScript and fully customizable.

Plotly logo Plotly

Low-Code Data Apps
  • Strapi
    Image date //
    2024-06-07
  • Plotly Landing page
    Landing page //
    2023-07-31

Strapi features and specs

  • Open Source
    Strapi is an open-source platform, meaning it's free to use and has an active community contributing to its improvement. This can lead to rapid innovation and a wealth of community-driven resources.
  • Customization
    Strapi offers high levels of customization, allowing developers to tailor the content management system to their specific needs. This is beneficial for unique projects with specific requirements.
  • Headless CMS
    As a headless CMS, Strapi decouples the backend from the frontend, enabling developers to use any frontend technology they prefer, which increases flexibility and scalability.
  • RESTful and GraphQL APIs
    Strapi automatically generates RESTful APIs and also supports GraphQL out of the box. This makes it easier to integrate with various types of applications.
  • User-Friendly Interface
    Strapi provides a user-friendly admin panel that is powerful yet easy to use, making content management less of a chore for non-technical users.
  • Plugin Ecosystem
    Strapi has a growing ecosystem of plugins that can extend its functionality, allowing users to add features without extensive custom development.

Possible disadvantages of Strapi

  • Learning Curve
    Although Strapi is highly customizable, it can have a steep learning curve for new users, especially those who are not familiar with JavaScript and modern web development practices.
  • Performance Issues
    In some cases, users have reported performance issues, particularly when handling large amounts of data or complex queries, which may require optimization.
  • Community Support Variability
    While Strapi has an active community, the level of support and available third-party resources can vary, especially when compared to more mature CMS platforms.
  • Limited Built-in Features
    Out of the box, Strapi might lack some features that come built-in with other CMS platforms, requiring users to implement or configure these features themselves.
  • Self-Hosting Requirement
    Strapi requires self-hosting, which means you need to manage your own servers and infrastructure. This can be a downside for those looking for a fully managed solution.
  • Frequent Updates
    Frequent updates can sometimes introduce breaking changes, requiring developers to continuously adapt their codebase to stay current.

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 Strapi

Overall verdict

  • Strapi is generally considered a good choice for developers looking for an open-source headless CMS.

Why this product is good

  • Strapi offers the advantage of being open-source and highly customizable, which allows developers to tailor it to specific project requirements. It supports GraphQL and RESTful APIs, making it versatile for various use cases. Its user-friendly admin panel simplifies content management, while the extensive plugin architecture allows for enhanced functionality.

Recommended for

    Strapi is recommended for developers and development teams looking for a flexible and customizable CMS solution, particularly those who need a headless CMS that integrates easily with modern frontend frameworks like React, Vue, or Angular. It's also suitable for organizations that prefer an open-source solution they can modify according to their needs.

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.

Strapi videos

+ Add

Let's Checkout... #Strapi CMS

More videos:

  • Review - Quick Strapi Review
  • Review - Learn Strapi in 12 minutes 🚀

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

Category Popularity

0-100% (relative to Strapi and Plotly)

Strapi

Plotly

CMS
100 100%
CMS
0% 0
Data Visualization
0 0%
Data Visualization
100% 100
Blogging
100 100%
Blogging
0% 0
Charting Libraries
0 0%
Charting Libraries
100% 100

User comments

Share your experience with using Strapi and Plotly. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare Strapi and Plotly

Strapi Reviews

21 Headless CMS Platforms That You Should Check Out
Strapi is one of the most used headless CMS platforms. Strapi is an open-source headless CMS that is customizable and easy to use. Companies such as Walmart, eBay, Toyota, IBM use this platform.
Source: popupsmart.com
Best Headless CMS in 2022
Strapi is an open-source Node.js headless content management system, which means that the entire codebase is available on GitHub and thrives on contributors. Strapi generates a working RESTful API or uses GraphQL for developers in minutes after installation. Data is made available through a customizable API. It’s important to note that Strapi is a self-hosted, not a SaaS...
Source: flatlogic.com
Best Node.js CMS platforms for 2022
Strapi is a popular, flexible, and open-source headless CMS that enables us to create rich digital experiences. Strapi provides REST and GraphQL APIs developers can use to access the content stored in its repository.
Source: blog.logrocket.com
Best Headless CMS for 2020
Valid argument. But what is the alternative? Strapi on a server with a Database? What about doing backups? Isn't it even more complicated? In a git-based CMS you can at least undo all changes, which isn't that easy with a database.
Source: dev.to
11 Headless CMS to Consider for Modern Application
Strapi is an opensource CMS intended to be transparent and striving to be a perfect balance between a CMS, framework, and an automation tool to speed-up back-end development and management.
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.
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

Social recommendations and mentions

Based on our record, Strapi seems to be a lot more popular than Plotly. While we know about 342 links to Strapi, we've tracked only 34 mentions of Plotly. 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.

Strapi mentions (342)

  • Headless CMS vs. Traditional CMS: Which is Best in 2026?
    Instead of rendering pages on the server, a headless CMS operates solely as a database and editing dashboard. The content is entered into the editor interface and stored as raw data. Consequently, your frontend application fetches this data via APIs (GraphQL or REST) and compiles it into static files. Popular headless providers like Contentful or Strapi allow you to send this content to any device or framework,... - Source: dev.to / 25 days ago
  • 5 Strapi Alternatives Developers Are Actually Switching To in 2026
    That's not true anymore. In 2026, developers are switching away from Strapi at a pace that's hard to ignore — not because it got worse, but because the alternatives got dramatically better. - Source: dev.to / about 2 months ago
  • Three Ways to Convert JSON to TypeScript. Only One Is Deterministic.
    CMS content. Headless CMS responses from Strapi, Sanity, or Contentful are deeply nested. Type them once; let the compiler catch template bugs. - Source: dev.to / 4 months ago
  • 16 Best CMS Platforms for Websites in 2025
    Strapi is an open-source, Node.js-based headless CMS that gives developers full control over content APIs. It’s self-hosted, fully customizable, and supports REST and GraphQL, making it a favorite among developers building JAMstack and API-first applications. - Source: dev.to / about 1 year ago
  • Building faster content-driven sites with Astro
    This is where Strapi a flexible and scalable content management solution is needed. - Source: dev.to / about 1 year 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 / 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

What are some alternatives?

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

Contentful - You don't need another CMS. You need a better way to manage content — unified, structured, and ready to deploy to any digital channel.

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.

Sanity.io - Sanity.io a platform for structured content that comes with an open-source editor that you can customize with React.js.

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

Directus - Free and Open-Source Headless CMS

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.

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