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Plotly VS Makerkit.dev

Compare Plotly VS Makerkit.dev and see what are their differences

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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

Plotly logo Plotly

Low-Code Data Apps

Makerkit.dev logo Makerkit.dev

MakerKit is a SaaS Starter Kit for Next.js, Remix, Firebase and Supabase. Build unlimited SaaS products in record time with the best SaaS Boilerplate.
  • Plotly Landing page
    Landing page //
    2023-07-31
  • Makerkit.dev Dashboard
    Dashboard //
    2024-12-07
  • Makerkit.dev Choose Plan
    Choose Plan //
    2024-12-07
  • Makerkit.dev Landing Page
    Landing Page //
    2024-12-07
  • Makerkit.dev Pricing
    Pricing //
    2024-12-07

Makerkit is a production-ready SaaS starter kit built with Next.js App Router and Supabase that helps developers launch faster.

It provides a robust foundation with built-in authentication, team management, billing integration, and Super Admin - all powered by a modular architecture that makes customization and maintenance a breeze.

Whether you're building a B2B or B2C application, Makerkit handles the complex infrastructure so you can focus on building your product's unique features using modern tools like TypeScript, React, and Tailwind CSS.

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.

Makerkit.dev features and specs

  • Marketing Pages
    Landing page, pricing, FAQ, and other marketing pages included
  • Blog and Documentation
    Full-featured blog/documentation system with CMS integration
  • Authentication
    Complete auth system with email, OAuth, and MFA support
  • Billing
    Integrated payment system with Stripe and Lemon Squeezy support
  • Super Admin
    Admin dashboard to manage users, subscriptions and content
  • Translations (i18n)
    Multi-language support
  • Organizations/Teams
    Team management with roles and permissions system
  • Plugins
    Non-core functionality included as plugins: Testimonials, Roadmap, AI Chatbot, Waitlist

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.

Analysis of Makerkit.dev

Overall verdict

  • Makerkit.dev is a solid, well-built SaaS starter kit that helps developers skip weeks of boilerplate setup by providing production-ready authentication, billing, and multi-tenancy features out of the box.

Why this product is good

  • Provides pre-built, production-ready SaaS boilerplate covering authentication, subscriptions, and team/organization management
  • Supports popular modern stacks like Next.js, Remix, Supabase, and Firebase
  • Saves significant development time by eliminating repetitive setup and configuration work
  • Comes with documentation, active maintenance, and community support
  • Includes billing integration with providers like Stripe and Lemon Squeezy
  • Built with TypeScript and modern best practices for maintainable, scalable code

Recommended for

  • Solo developers and indie hackers looking to launch a SaaS product quickly
  • Startups wanting to validate ideas without building infrastructure from scratch
  • Development teams needing a reliable, well-structured foundation for multi-tenant apps
  • Developers already familiar with Next.js, Remix, Supabase, or Firebase
  • Anyone wanting to avoid reinventing authentication and billing systems

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

Makerkit.dev videos

No Makerkit.dev videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to Plotly and Makerkit.dev)

Plotly

Makerkit.dev

Data Visualization
100 100%
Data Visualization
0% 0
Developer Tools
0 0%
Developer Tools
100% 100
Charting Libraries
100 100%
Charting Libraries
0% 0
Boilerplate
0 0%
Boilerplate
100% 100

Questions & Answers

As answered by people managing Plotly and Makerkit.dev.

How would you describe the primary audience of your product?

Makerkit.dev's answer:

Indie Hackers and Companies who want to launch quickly, without compromising on quality.

Which are the primary technologies used for building your product?

Makerkit.dev's answer:

Makerkit uses Next.js 15 (App Router), Supabase, React.js, Typescript and Stripe.

What makes your product unique?

Makerkit.dev's answer:

Makerkit stands out by offering a truly modular architecture built with Turborepo, where core features like auth, billing, and notifications live in their own packages for better maintainability.

While most starters lock you into specific patterns or providers, Makerkit gives you flexibility with a multi-account system supporting both B2B and B2C scenarios, provider-agnostic billing, and edge-ready deployment options.

Beyond the basics, it includes production-ready features like multi-factor auth, real-time notifications, and team permissions - all built with Supabase, TypeScript, React Query, and modern tooling to make development a genuine pleasure.

Why should a person choose your product over its competitors?

Makerkit.dev's answer:

While other starters give you basic auth and a dashboard, Makerkit provides a genuinely modular foundation with the real features SaaS products need - like multi-factor auth, team permissions, real-time notifications, and provider-agnostic billing, all organized in clean, maintainable packages using Turborepo.

You get a first-class developer experience with TypeScript, React Query, and modern tooling, plus the flexibility to support both B2B and B2C scenarios, different payment providers, and edge deployment options.

Best of all, Makerkit is actively maintained with regular updates and responsive support, so you're building on a foundation that grows with your needs rather than painting yourself into a corner.

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 Makerkit.dev

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 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.
Source: blog.logrocket.com

Makerkit.dev Reviews

We have no reviews of Makerkit.dev yet.
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Social recommendations and mentions

Based on our record, Plotly seems to be a lot more popular than Makerkit.dev. While we know about 34 links to Plotly, we've tracked only 2 mentions of Makerkit.dev. 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 (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 / 4 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

Makerkit.dev mentions (2)

What are some alternatives?

When comparing Plotly and Makerkit.dev, 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.

ShipFa.st - The NextJS boilerplate with all the stuff you need to get your product in front of customers. From idea to production in 5 minutes.

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

supastarter - The boilerplate for your next web app built on top of Supabase and Next.js.

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.

Nexty.dev - Launch your SaaS in days, not weeks. Nexty.dev is a production-ready Next.js and Supabase starter template for building modern SaaS applications. Launch your content, AI, or subscription service faster.

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