
Material UI
The ultimate directory for top UI component libraries in React, Vue, Angular, Nuxt, Svelte, Rails, Weblow, and more.

AISTUDIO
DataSentry
integrate.ai
Know Your Data
Layer AI
Neuralhub
ShedBoxAI
Make Any API Return Clean, Structured Data
Which is more popular?
Website, pricing, platforms and company facts side by side.
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| Website | componentlibraries.com | layrda.com |
| Pricing | ||
| Company | Startup from the United States · 1 - 9 employees · 2025 | Startup from India · 2026 |
| Listed in |
In their own words, as submitted to SaaSHub.


We want builders to avoid searching for the perfect UI component library for their project and scrolling through GitHub repos, outdated blog lists, or product pages that barely show what’s inside... We built ComponentLibraries.com to make finding the right component library effortless. Browse a...
Make any API return clean, structured data. Stop writing glue code. No manual mapping, no broken integrations. Built for developers, startups, and modern software teams.
What each product offers, as listed by its team.


No features have been listed yet.
An editorial look at what each product does well and who it suits.


Overall verdict
Why this product is good
Recommended for
Overall verdict
Why this product is good
Recommended for
How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing ComponentLibraries and Layrda.
ComponentLibraries's answer
There wasn't a single platform showcasing ALL the component libraries for any framework, let alone promoting bootstrapped independent ones, so we built one!
ComponentLibraries's answer
Next.js, Typescript, Sanity CMS
ComponentLibraries's answer
Component Libraries is literally the only platform showcasing all the best component libraries, besides GitHub repos, outdated blog lists, or product pages.
Share your experience with using ComponentLibraries and Layrda. For example, how are they different and which one is better?
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A CSS Framework and a Set of React Components that Implement Google's Material Design
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Federated machine learning, Data as product, Data Mesh
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