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Material UI VS Streamlit

Compare Material UI VS Streamlit and see what are their differences

Material UI

A CSS Framework and a Set of React Components that Implement Google's Material Design

Rating
5.0 · 1 review
Pricing
Open source Free
Alternatives Is it good?
Streamlit

Turn python scripts into beautiful ML tools

Rating
0 reviews
Pricing
Open source
Alternatives Is it good?
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Which is more popular?

Based on our record, Streamlit should be more popular than Material UI. It has been mentioned 220 times since March 2021.

social mentions
76 vs 220
Design Tools popularity
100% vs 0%

Base details

Website, pricing, platforms and company facts side by side.

Material UI
Streamlit
Website material-ui.com streamlit.io
Pricing
Open source Free
Open source Official pricing
Listed in
Design Tools CSS Framework Developer Tools Development Tools +1
Developer Tools Cloud Computing Cloud Hosting AI +1

Features and specs

What each product offers, as listed by its team.

Material UI 6 features
Streamlit 5 features
  • Comprehensive Component Library
    Material UI offers a wide range of pre-built components that adhere to Google's Material Design guidelines, making it easier to build aesthetically pleasing user interfaces quickly.
  • Customizability
    Material UI components are highly customizable. Developers can easily adjust styles, themes, and behaviors to match specific project requirements.
  • Active Community and Support
    Material UI has a large and active community of developers. This means better support, frequent updates, and a wealth of resources like tutorials and documentation.
  • Improved Productivity
    The pre-built components and templates can greatly reduce the time and effort required to develop UI elements, thereby increasing development productivity.
  • Cross-Browser Compatibility
    Designed to work across multiple browsers, Material UI ensures a consistent user experience regardless of the platform.
  • Accessibility
    Material UI includes features that improve accessibility, conforming to WCAG guidelines to create more inclusive web applications.

Possible disadvantages

  • Performance Overhead
    The inclusion of numerous pre-built components and styles can introduce performance overhead, especially in larger applications.
  • Learning Curve
    Despite its extensive documentation, new developers or those not familiar with Material Design may find it challenging to learn and implement Material UI effectively.
  • Dependency on Material Design
    Material UI strictly adheres to Material Design principles, which may not be suitable for all projects or could limit creative freedom for some designers.
  • Bundle Size
    Incorporating Material UI into a project can significantly increase the bundle size, affecting the overall load time of the web application.
  • Customization Complexity
    While highly customizable, the process of overriding default styles and components can sometimes be complex and cumbersome, requiring an in-depth understanding of both Material UI and CSS-in-JS.
  • Dependency on React
    Material UI is tightly integrated with React, meaning it can't be easily used in non-React projects, limiting its applicability.
  • Ease of Use
    Streamlit's API is extremely intuitive and easy to learn, which makes it accessible for developers of varying experience levels. The simplicity allows for rapid development and less time spent on complex front-end coding.
  • Interactive Widgets
    It provides a set of interactive widgets that make it simple to add complex functionalities like sliders, buttons, and file uploaders to your application with minimal code.
  • Real-time Feedback
    Streamlit supports real-time data updates, allowing users to see changes instantly. This is particularly useful for data analysis and machine learning applications where live data visualization is crucial.
  • Integration with Machine Learning Libraries
    Streamlit integrates seamlessly with popular machine learning libraries like TensorFlow, PyTorch, and scikit-learn, making it a great tool for showcasing machine learning models and results.
  • Open Source
    Being an open-source project, Streamlit is free to use and comes with the support and contributions of an active community. This means continuous improvements and a wealth of shared resources.

Possible disadvantages

  • Limited Customization
    Streamlit offers limited customization options compared to traditional web frameworks. This can be a hindrance if you need a highly customized UI/UX for your application.
  • Performance Issues
    For more complex or resource-intensive applications, Streamlit may suffer from performance drawbacks. It is not designed for high-performance computing out of the box.
  • Scalability
    Streamlit is not well-suited for large-scale applications requiring major backend architecture or for scenarios demanding high scalability and concurrency.
  • Limited Widget Style Options
    The styling and customization options for widgets are somewhat limited, meaning your application's look and feel might be more constrained compared to using other front-end frameworks.
  • Deployment Complexity
    While Streamlit provides some deployment options, deploying Streamlit apps in a production environment can sometimes require additional effort and knowledge, especially for those unfamiliar with web deployment practices.

Analysis

An editorial look at what each product does well and who it suits.

Material UI
Streamlit

Overall verdict

  • Material UI is considered a strong choice for developers who want to create applications with a modern and clean look, leveraging Google's Material Design principles. Its rich set of components and strong community support make it a reliable option for both small and large projects.

Why this product is good

  • Material UI (MUI) is a widely-used React component library that implements Google's Material Design guidelines, providing a consistent and modern aesthetic for web applications.
  • It offers a comprehensive set of customizable components, making it easier for developers to build responsive and visually appealing UIs.
  • MUI is well-documented and has a large community, which means plenty of third-party resources, tutorials, and support are available.
  • The library is continuously updated and maintained, ensuring compatibility with the latest versions of React and web standards.

Recommended for

  • Developers looking for a ready-to-use set of components adhering to Material Design, without sacrificing flexibility.
  • Projects requiring a quick development turnaround where a polished and professional UI is needed.
  • Teams that prefer not to spend extensive time on UI design and implementation while still achieving a high-quality look.

Overall verdict

  • Overall, Streamlit is well-regarded for its ease of use, speed of development, and ability to create clean and professional-looking applications without in-depth web development knowledge. It provides a seamless bridge between complex data analysis and user-friendly presentation, which can be highly beneficial for a wide range of use cases.

Why this product is good

  • Streamlit is a popular choice for quickly building and deploying data applications and interactive dashboards with minimal code. It is designed to be user-friendly, allowing data scientists and engineers to transform their scripts into shareable web apps. It supports real-time updates, is highly customizable, and integrates well with Python libraries like NumPy, Pandas, and Matplotlib, making it an attractive option for many developers working within the Python ecosystem.

Recommended for

    Streamlit is ideal for data scientists, analysts, and developers looking to rapidly prototype and deploy data-driven applications. It is recommended for those who prioritize simplicity, quick deployment, and seamless integration with Python code. Individuals or teams interested in building dashboards, ML model sharing platforms, or interactive reports will find Streamlit particularly useful.

Videos

Walkthroughs and reviews on video.

Material UI 2 videos + Add
Streamlit 3 videos + Add

Getting Started With Material-UI For React (Material Design for React)

More videos

  • - Code Review: react-material-ui-datatable

My thoughts on web frameworks in Python and R (PyWebIO vs Streamlit vs R Shiny)

More videos

  • - 1/4: What is Streamlit
  • - How to Build a Streamlit App (Beginner level Streamlit tutorial) - Part 1

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
Material UI
Streamlit
100% 100%
Design Tools
0% 0%
45% 45%
Developer Tools
55% 55%
0% 0%
Productivity
100% 100%
100% 100%
CSS Framework
0% 0%

User comments

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Reviews and articles

External articles and on-site reviews we used to compare the two products.

Material UI 5.0 · 1 review
Streamlit no reviews yet

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We have no reviews of Streamlit yet. Be the first one to post

Social recommendations and mentions

Recommendations tracked on public social media and blogs since March 2021.

Material UI 76 mentions
Streamlit 220 mentions
  • JavaScript Awesome Package
    Material-UI - React components for faster and easier web development. - Source: dev.to / 8 months ago
  • Building Forms with zod and react-hook-form
    Material UI: Component library to style our form input fields. - Source: dev.to / over 3 years ago
  • Getting started with NextUI and Next.js
    These UI components and elements usually include Button, Navbar, Tooltip, Tab components, and more. Many UI libraries exist, including React Bootstrap, built on the popular Bootstrap CSS library, and Material-UI, one of the most popular... - Source: dev.to / over 3 years ago

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  • How I Bypassed Reddit's Unauthenticated RSS Rate Limits (Without an API Key)
    I wrapped the logic in a small, single-process Streamlit app that pulls the newest posts from Hacker News, Reddit, and Lemmy into one sortable table. A few implementation details worth mentioning:. - Source: dev.to / about 1 month ago
  • Adding Authentication and SSO to a Streamlit App
    Streamlit makes it simple to turn Python scripts into shareable data apps. As these apps move from personal notebooks to team and company use, adding secure authentication and single sign-on (SSO) becomes essential. Authentication... - Source: dev.to / 6 months ago
  • How I trained a computer vision model on the AWS Free Tier
    The app I built to explore that question is a Streamlit app with two modes. Standard mode sends your image to the DetectLabels API and checks if it returns "Egg" or "Easter Egg" in the labels. Custom Labels mode uses a custom model I... - Source: dev.to / 6 months ago

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