Software Alternatives, Accelerators & Startups

Svelte VS Stata

Compare Svelte VS Stata and see what are their differences

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Svelte logo Svelte

Cybernetically enhanced web apps

Stata logo Stata

Stata is a software that combines hundreds of different statistical tools into one user interface. Everything from data management to statistical analysis to publication-quality graphics is supported by Stata. Read more about Stata.
  • Svelte Landing page
    Landing page //
    2023-07-27

We recommend LibHunt Svelte for discovery and comparisons of trending Svelte projects.

  • Stata Landing page
    Landing page //
    2023-09-27

Svelte features and specs

  • Performance
    Svelte shifts much of the work from runtime to compile time, resulting in faster and more efficient web applications. By compiling components to highly optimized vanilla JavaScript, it reduces the overhead and boosts performance.
  • File Size
    Due to its compile-time nature, Svelte produces smaller bundle sizes compared to other frontend frameworks like React or Angular, which can significantly improve load times and performance.
  • Simplicity
    The framework is designed to be more accessible and easier to understand. Svelte’s syntax is clean and straightforward, allowing developers to get up and running quickly with minimal boilerplate.
  • Reactivity
    Svelte provides a simple and intuitive way to handle reactivity by using built-in language constructs like assignments. This means no complicated state management libraries are necessary for many use cases.
  • Less Boilerplate
    Svelte reduces the boilerplate code typically required in other frameworks, resulting in a cleaner and more maintainable codebase. This can help accelerate development and reduce bugs.
  • Reactive Programming
    SvelteKit leverages Svelte's reactive programming model, allowing developers to write less code while achieving better functionality through automatic reactivity.
  • Integrated Router
    SvelteKit includes a built-in router, which simplifies the creation of multi-page applications and enables easy setup of dynamic routes.
  • SSR and SSG
    SvelteKit supports Server-Side Rendering (SSR) and Static Site Generation (SSG) out of the box, giving developers flexibility in how they build and deploy their applications.
  • Opinionated but Flexible
    While SvelteKit provides an opinionated setup to streamline the development process, it also allows for customization to fit a developer’s specific needs.

Possible disadvantages of Svelte

  • Ecosystem Maturity
    Svelte’s ecosystem is not as mature or extensive as React’s or Angular’s. There are fewer third-party libraries, tools, and resources available, which might make it more challenging to find solutions for less common problems.
  • Learning Curve
    While Svelte itself is simpler, its approach is quite different from traditional frameworks like React and Angular. This can require a mental shift and time to learn new paradigms, especially for developers coming from those backgrounds.
  • Community Support
    Given that Svelte has a smaller user base and community compared to more established frameworks, finding community support, tutorials, and best practices can sometimes be more difficult.
  • Tooling
    While Svelte has good official tooling and support, it may lack some of the advanced tools and integrations available for other frameworks, which can slow down development for more complex applications.
  • SEO and SSR
    Although Svelte has options for server-side rendering (SSR) and improving SEO, handling these aspects is not as out-of-the-box or mature compared to frameworks like Next.js for React.
  • Community Size
    SvelteKit has a smaller community compared to other frameworks, which can affect the availability of online resources, tutorials, and community-driven support.
  • Tooling and Integration
    Some commonly used development tools and integrations may not be fully compatible with SvelteKit, necessitating workarounds or additional configuration.
  • Frequent Updates
    As a newer framework, SvelteKit undergoes frequent updates and changes, which can sometimes lead to breaking changes or require developers to frequently update their knowledge and projects.
  • Market Adoption
    SvelteKit is less adopted in the industry compared to other frameworks, which might make it a less attractive option for companies looking for widely recognized and vetted solutions.

Stata features and specs

  • Comprehensive Statistical Tool
    Stata offers a wide array of built-in statistical procedures, making it ideal for complex data analysis and research.
  • User-Friendly Interface
    With a graphical user interface and command syntax, Stata caters to both novice and experienced users, improving ease of use and flexibility.
  • Extensive Documentation
    Stata provides thorough documentation and a vast range of tutorials, which can help users quickly find solutions and learn new techniques.
  • Strong Community Support
    Stata has an active user community and mailing list, enabling users to share knowledge, scripts, and advice efficiently.
  • Cross-Platform Compatibility
    Stata is available for Windows, Mac, and Linux, allowing users to work on their preferred operating system without any compromise.
  • Reproducible Research
    Stata promotes reproducible research by providing tools for scripting and automation, ensuring that analyses can be easily replicated and verified.

Possible disadvantages of Stata

  • High Cost
    Compared to some other statistical software, Stata can be expensive, particularly for individual users or small organizations without access to institutional licenses.
  • Steep Learning Curve
    Despite its user-friendly interface, mastering Stata's full capabilities requires time and a considerable learning effort, which can be daunting for beginners.
  • Limited Graphical Capabilities
    While adequate for many purposes, Stata's graphical capabilities are not as advanced as some other software options like R or Python's visualization packages.
  • Less Flexible for Custom Development
    Compared to open-source languages like R or Python, Stata is less flexible for custom development and integration with other software, which might limit advanced users.
  • Resource Intensive
    Stata can be resource-heavy, requiring substantial computing power for large datasets or complex operations, potentially limiting its use on lower-end machines.

Analysis of Svelte

Overall verdict

  • Svelte is highly recommended for developers looking for a modern, efficient, and easy-to-learn framework. It provides excellent performance and a great developer experience. Its growing community and ecosystem reinforce its viability as a strong option for new projects.

Why this product is good

  • Svelte is considered good because it offers a unique approach to building user interfaces. Unlike other frameworks, Svelte shifts the work from the browser to the build step, compiling components into efficient vanilla JavaScript at build time. This results in faster performance and smaller bundle sizes. Additionally, Svelte's reactivity model is straightforward and intuitive, leading to more maintainable code. Its syntax is easy to learn and helps in building applications quickly.

Recommended for

  • Developers seeking a lightweight and performant alternative to React or Vue.
  • Projects where bundle size and speed are critical.
  • Developers new to front-end frameworks due to its simplicity and ease of learning.
  • Rapid prototyping and single-page applications.

Svelte videos

Svelte vs React vs Angular vs Vue

More videos:

  • Review - SvelteKit Breaking Changes 2022 - My Reactions and What You Need to Know!
  • Tutorial - SvelteKit Crash Course Tutorial #1 - What is SvelteKit?
  • Review - Why Svelte is the best JS "framework"
  • Review - Oh crap, here comes *another* JavaScript framework || SVELTE || Sveltejs

Stata videos

What's it like–Getting started in Stata

More videos:

  • Review - Stata's dyndoc review
  • Review - 【Stata小课堂】第2讲:界面介绍

Category Popularity

0-100% (relative to Svelte and Stata)
Javascript UI Libraries
100 100%
0% 0
Technical Computing
0 0%
100% 100
JavaScript Framework
100 100%
0% 0
Data Dashboard
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 Svelte and Stata

Svelte Reviews

Top JavaScript Frameworks in 2025
SvelteJS is a modern JavaScript framework that is useful for building static web apps that are fast, lean, and fun. You can use Svelte to build single, reusable components and large or even small-scale projects. Svelte has started gaining attention because of its ability to produce smaller code bundles that run faster in web browsers.
Source: solguruz.com
Top 10 Next.js Alternatives You Can Try
This web development framework can help you perform the easiest tasks to develop the interface components that users can interact with within their browsers, such as the comment section. Moreover, it has SvelteKit to render the components of the entire page with best practices and developments. You can utilize this platform effortlessly to add basic functionalities and...
20 Next.js Alternatives Worth Considering
Cruise into the Svelte ecosystem with Sapper, a framework that takes all the brilliance of Svelte and dials it up for app building. It’s like Svelte’s outgoing cousin, optimizing for an even smoother ride from development to go-live.
10 Best Next.js Alternatives to Consider Today
SvelteKit, the official framework for Svelte, streamlines the development of Svelte applications. With an intuitive API, SvelteKit simplifies the creation of server-side rendered (SSR) and statically generated (SSG) applications while retaining the reactive nature that makes Svelte unique. If you're seeking a framework that marries simplicity with powerful capabilities,...
The 20 Best Laravel Alternatives for Web Development
The next of these Laravel alternatives is Svelte. It cuts through the complexity, snipping off any excess, pre-compiling its magic to keep your app lightweight without shedding any muscle. The end result? Lightning strikes in web performance.

Stata Reviews

25 Best Statistical Analysis Software
Stata is a robust statistical software widely utilized by professionals across various fields for efficient data management, in-depth statistical analysis, and comprehensive data visualization.
9 Best Analysis Software for PC 2023
Stata is statistical software that provides almost all the tools you need in data analysis and visualization. The software is crucial in data manipulation, computing statistics queries, visualization, and generating analytical reports. The software is owned by the StataCorp company and has several applications in various fields like science, engineering, biomedicine,...
Source: pdf.wps.com

Social recommendations and mentions

Based on our record, Svelte seems to be more popular. It has been mentiond 392 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.

Svelte mentions (392)

  • The UI Future Is Colourful and Dimensional
    The first time I visited https://svelte.dev , the non-flat-vector banner instantly won me. It just stands out from the world around it. I just sort of assumed the engineering was superior to the competition if they were going to lead with crimped metal (and was right). Flat design has always struck me as an extremist response to an issue. Windows Vista required everyone to be on the same page design-language wise... - Source: Hacker News / 19 days ago
  • Whimsy: a Tiny Game Engine I Made for Storytellers
    Svelte as the main framework. (Whimsy is my first Svelte project, actually! And Svelte didn't disappoint. Almost.). - Source: dev.to / 22 days ago
  • Creating Beautiful User Interfaces With Material Design for Bootstrap 4 & 5 (MDB)
    We're going to build our Svelte application using the Svelte REPL sandbox (or just REPL) at svelte.dev. I recommend checking out all the great documentation at svelte.dev, like its Examples section showcasing Svelte's many features, as well as the cool interactive tutorial at learn.svelte.dev. - Source: dev.to / 23 days ago
  • Plain Vanilla Web – Guide for de-frameworking yourself
    In theory, “de-frameworking yourself” is cool, but in practice, it’ll just lead to you building what effectively is your own ad hoc less battle-tested, probably less secure, and likely less performant de facto framework. I’m not convinced it’s worth it. If you want something à la KISS[0][0], just use Svelte/SvelteKit[1][1]. Nowadays, the primary exception I see to my point here is if your goal is to better... - Source: Hacker News / about 1 month ago
  • Why I’m Learning Vue.js After Six Years in React
    When I teased this series on LinkedIn, one comment quipped that Vue’s been around since 2014—“you should’ve learned it by now!”—and they’re not wrong. The JS ecosystem churns out UI libraries like Svelte, Solid, RxJS, and more, each pushing reactivity forward. React’s ubiquity made it my go-to for stability and career momentum. Now I’m ready to revisit new patterns and sharpen my tool-belt. - Source: dev.to / about 1 month ago
View more

Stata mentions (0)

We have not tracked any mentions of Stata yet. Tracking of Stata recommendations started around Mar 2021.

What are some alternatives?

When comparing Svelte and Stata, you can also consider the following products

React - A JavaScript library for building user interfaces

IBM SPSS Statistics - IBM SPSS Statistics is software that provides detailed analysis of statistical data. The company behind the product practically needs no introduction, as it's been a staple of the technology industry for over 100 years.

Vue.js - Reactive Components for Modern Web Interfaces

RStudio - RStudio™ is a new integrated development environment (IDE) for R.

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

GraphPad Prism - Overview. GraphPad Prism, available for both Windows and Mac computers, combines scientific graphing, comprehensive curve fitting (nonlinear regression), understandable statistics, and data organization.