Software Alternatives, Accelerators & Startups

Plotly VS Mantine

Compare Plotly VS Mantine and see what are their differences

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Plotly logo Plotly

Low-Code Data Apps

Mantine logo Mantine

React library, 60+ hooks and components with dark theme support and focus on accessibility
  • Plotly Landing page
    Landing page //
    2023-07-31
  • Mantine Landing page
    Landing page //
    2023-07-27

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.

Mantine features and specs

  • Component Library
    Mantine offers a comprehensive set of React components that are ready to use, which speeds up development and ensures consistency in design.
  • Customizability
    Mantine components are highly customizable, allowing developers to fine-tune their UI according to their needs and preferences.
  • Themable
    The theming system in Mantine is robust, enabling developers to easily implement both light and dark modes and to create custom themes.
  • TypeScript Support
    Mantine has built-in TypeScript support, providing type safety and autocompletion benefits for developers who use TypeScript.
  • Performance
    Mantine is designed with performance in mind, ensuring that components render quickly and efficiently, which is crucial for creating responsive UIs.
  • Rich Documentation
    Mantine comes with extensive documentation, which includes usage examples, API details, and guidelines, making it easier for developers to get started and solve issues.

Possible disadvantages of Mantine

  • Learning Curve
    Despite its rich documentation, there is a learning curve associated with Mantine, especially for developers who are new to the library or to component-based design in general.
  • Bundle Size
    Mantine's comprehensive features can lead to a larger bundle size compared to some lighter-weight UI libraries, which may affect performance in resource-constrained environments.
  • Community Support
    As a relatively newer library compared to giants like Material-UI or Ant Design, Mantine has a smaller community, which might limit the availability of third-party tutorials and plugins.
  • Dependency
    Relying on a third-party UI library like Mantine can lead to dependencies on its updates and bug fixes, which may not align with the projectโ€™s timelines.

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

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

Mantine videos

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

Add video

Category Popularity

0-100% (relative to Plotly and Mantine)
Data Visualization
100 100%
0% 0
Design Tools
0 0%
100% 100
Charting Libraries
100 100%
0% 0
Open Source
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 Plotly and Mantine

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.

Mantine Reviews

The Best Component Libraries for React, Next.js & Tailwind UI
Mantine is a full-featured React component library offering over 100 customizable components and hooks. It emphasizes performance and accessibility, making it suitable for a wide range of applications.
Source: gist.github.com
10 Best Free React UI Libraries in 2023
Mantine is a free and open-source React components library that provides 134 fully responsive React components for 25 different categories like navbar, error pages, blog card, comments, sliders, etc. to be put into production.
React UI Components Libraries: Our Top Picks for 2023
Mantine has a Discord community that you can join to ask questions, view the recent developments, and participate in feature discussions. Itโ€™s also available on GitHub for discussions and sharing feedback. You can also follow Mantine on Twitter to stay notified of updates.
Source: kinsta.com

Social recommendations and mentions

Based on our record, Mantine should be more popular than Plotly. It has been mentiond 139 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 (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

Mantine mentions (139)

  • Generate PDF invoices in React with a live preview
    Back in invoice-app/. Install Oicana alongside Mantine for the UI:. - Source: dev.to / about 1 month ago
  • How I turned a Python function into a web app in one decorator
    The Next.js frontend has one dynamic route: /tools/[slug]. It fetches the manifest for that slug from the FastAPI backend, then renders the form using a custom renderer registry. Each x-nix.widget type maps to a Mantine component โ€” textarea becomes a Textarea, dropdown becomes a Select, switch becomes a Switch, file becomes a file upload zone. - Source: dev.to / about 2 months ago
  • How to Build and Scale Design Systems: Starting with the Right Framework
    For any web application that involves rich client-side interactions, the perks of using React and having access to the ecosystem of tooling built around it (e.g. Redux Toolkit, React Native, TanStack, Next.js, as well as component libraries like Mantine) are undeniable. Its declarative API for turning state into UI is also easy enough to pick up for most (even if it requires experience to master). - Source: dev.to / 3 months ago
  • Scotty v2.0.2 โ€” Now Your Dashboard Tells You What to Clean
    Scotty is built on the WPBones framework โ€” a Laravel-style architecture for WordPress plugin development. The React dashboard is powered by Mantine UI, giving you a modern, fast, and accessible interface. - Source: dev.to / 3 months ago
  • Mantine SelectStepper: A Modern Alternative to Traditional Dropdowns
    In the world of modern web development, choosing the right UI component can make or break the user experience. Today, we're excited to introduce you to Mantine SelectStepper, a React component that revolutionizes how users interact with predefined option lists. Built on top of the powerful Mantine UI library, this component offers an elegant, intuitive alternative to traditional dropdown selects. - Source: dev.to / 6 months ago
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What are some alternatives?

When comparing Plotly and Mantine, 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.

Chakra UI - Simple, modular and accessible UI components for your React applications.

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

Ant Design - An enterprise-class UI design language and React implementation with a set of high-quality React components, one of best React UI library for enterprises

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.

Tailwind CSS - A utility-first CSS framework for rapidly building custom user interfaces.