MixItUp

MixItUp

MixItUp is a JavaScript library that enables animated filtering, sorting, insertion, removal and more for website content. It allows developers to create dynamic grid layouts and transitions with minimal code.
MixItUp screenshot

MixItUp: Animated Filtering & Grid Layouts

A JavaScript library that enables dynamic grid layouts, transitions, and animated filtering, sorting, insertion, removal for website content with minimal code.

What is MixItUp?

MixItUp is an open-source JavaScript library for animated filtering, sorting, manipulation and more of HTML content. It was designed for enabling dynamic website layouts and behavior, particularly dynamic grid functionality.

With MixItUp, developers can easily apply filtering, sorting, insertion, removal and other actions to grid content. The transitions are smooth and animated for an engaging user experience. It works by applying CSS classes and transitions rather than DOM manipulation, which enhances performance.

Some key features and capabilities include:

  • Filtering items in a grid/content list based on categories, tags or other metadata
  • Sorting grid items dynamically based on text, numbers, randomization, or custom logic
  • Inserting, removing or moving grid items animatedly
  • Flexible and customizable animation effects
  • Works with major JavaScript libraries like jQuery
  • Lightweight file size for fast loading
  • Open source with an MIT license

MixItUp allows developers to save time building dynamic JavaScript grid functionality. Its animations and effects can create more engaging and immersive user experiences. The library is customizable for flexibility across many different use cases.

MixItUp Features

Features

  1. Filtering
  2. Sorting
  3. Insertion
  4. Removal
  5. Animated transitions
  6. Dynamic grid layouts

Pricing

  • Open Source

Pros

Easy to implement

Lightweight

Well-documented

Open source

Customizable

Good for responsive designs

Cons

Steep learning curve

Dependency on jQuery

Limited built-in animations

Not ideal for large datasets

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