WildflowerJS Reactive JS, No BS*

A no-build reactive JavaScript framework, rooted in the web platform.
No build step. No dependencies. No lock-in.

<script src="wildflower.min.js"></script> ...and start building.

Back to Basics

The code you write is 100% web standard code. HTML stays HTML. JavaScript stays JavaScript. CSS stays CSS. No JSX, no templating language, no custom syntax to learn. If you know the web platform, you already know how to use this.

WildflowerJS extends the web platform. It doesn't replace it.

Your Development Simplified

Because you develop with 100% web standards, every tool in your existing chain already understands the code: IDE, browser DevTools, linter, formatter, screen reader, SEO crawler. Nothing to install, no custom file types, no sourcemaps. Save the file, refresh, and your change is live.

Just be a web developer.

Batteries Included: One Mental Model

Router, SSR, stores, computed properties, two-way binding, event modifiers, data pools, and TypeScript types, all built in, all speaking the same language. Learn data-bind once and you know binding everywhere: lists, pools, stores, forms. There's no five-library stack to keep in sync.

One script tag. Everything you need.

<div data-component="counter">
  <span data-bind="count"></span>
  <button data-action="increment">
    +1
  </button>
</div>

<script>
wildflower.component('counter', {
  state: { count: 0 },
  increment() { this.count++ }
})
</script>

How It Works

data-bind connects state to the DOM.

data-action connects events to methods.

this.count++ triggers a precise DOM update.

Mutate state. The DOM updates.

Two Reactivity Modes

data-list for automatic reactivity: mutate state, DOM updates. data-pool for explicit control: plain objects, zero proxy overhead, you say what changed.

Same template syntax. Different performance profile. From interactive forms to per-frame particle systems. You choose the right tradeoff for the job.

Try it. Right-click, inspect this demo. Every dot is a real DOM element.

See full demo →

* Build Step

Zero Toolchain

Modern frameworks ask you to install a compiler, a bundler, a package manager, hundreds of fragile transitive dependencies, and a framework-specific file format, before you write a single line of your application.

WildflowerJS was built starting from a single principle: no build step, no tooling. Ever.

WildflowerJS asks you to add a script tag.

There's no CLI scaffolding step, no config files, no .vue/.jsx/.svelte source format. You don't debug through sourcemaps or wait on a build pipeline. Your project has zero dependencies.

Performance isn't a tradeoff. Build steps optimize bundle delivery, not the runtime work that follows it. WildflowerJS writes directly to the DOM, with no virtual DOM or reconciliation pass between state change and update, so it doesn't need a build step to be fast.

The framework is full-featured without the toolchain: router, SSR, stores, computed properties, transitions, pools. You don't need a toolchain to use any of it.

my-app/
  index.html
  app.js
  style.css
  wildflower.min.js

That's the entire project. No package.json.
No node_modules. No config files. Ship it.

Zero Install. Zero Attack Surface.

Every dependency you install is trust extended to a maintainer you've never met, running scripts on your dev machine and in your CI. A typical React + Vite + UI‑lib setup pulls in 300+ transitive packages before you write a feature.

Each one is a potential intrusion vector. NPM worms, OAuth chains compromising deploy platforms, postinstall hijacking: the supply chain is now where production code gets compromised, not the deploy. And signing isn't a backstop: Mini Shai‑Hulud (May 2026) compromised 170+ packages whose malicious versions carried valid SLSA Build Level 3 provenance, because the attestation came from build infrastructure the worm had already taken over.

WildflowerJS users don't have this attack surface, by construction. There is no npm install, no postinstall script, no transitive package graph. The framework is one file you copy or pin by hash.

As of v1.1, the same holds for building the framework itself. WildflowerJS bundles with a vendored rollup and terser pipeline pulled as three SHA‑512‑pinned tarballs: no npm install, no transitive packages, no postinstall scripts in the build path. The entire toolchain is three files you verify by hash.

Zero dependencies is the absence of a problem the rest of the industry has not properly addressed.

A typical React/Vue project:

  npm install
  ├── hundreds of packages
  ├── from hundreds of maintainers
  ├── postinstall scripts run on install
  └── tens to hundreds of MB of transitive code

WildflowerJS:

  <script src="wildflower.min.js"></script>
  └── 1 file.
      No transitive dependencies.

Zero Lock-in

WildflowerJS works with the DOM, not instead of it. There's no virtual DOM intercepting your code and no compiler rewriting your markup. The render cycle is yours.

That means Leaflet, DataTables, Chart.js, D3, Three.js, any library that touches the DOM, just works. No wrapper packages or framework-specific escape hatches required. Drop in a script tag and use it.

Because your code is standard HTML and JavaScript, you're never locked in. Your skills transfer and your code is more portable. If you outgrow the framework, your knowledge doesn't expire.

This also means your "ecosystem" is all of the world of vanilla JS. Without compromises or hacks.

<!-- Use any library directly -->
<div data-component="map-view">
  <div id="map" style="height: 400px"></div>
</div>
wildflower.component('map-view', {
  state: { lat: 51.505, lng: -0.09 },
  init() {
    // Leaflet works as-is. No wrappers.
    this._map = L.map('map')
      .setView([this.lat, this.lng], 13);
    L.tileLayer('https://{s}.tile.osm.org'
      + '/{z}/{x}/{y}.png').addTo(this._map);
  }
})

Precise Reactivity

When you write this.count++, WildflowerJS updates the single DOM node bound to count. Nothing else is touched. There's no tree diffing or reconciliation pass to figure that out.

This isn't a tradeoff. You get fine-grained updates and a simple mental model. Change a property, the bound element updates. That's the entire reactivity model.

Other frameworks ask you to learn signals, accessors, memos, effects, and subscription lifecycles to achieve what WildflowerJS does with a property assignment.

wildflower.component('dashboard', {
  state: {
    users: 1420,
    status: 'healthy'
  },
  computed: {
    summary() {
      return this.users + ' users, ' + this.status;
    }
  },
  refresh() {
    this.users = 1421;
    // Only the elements bound to 'users'
    // and 'summary' update. Everything
    // else on the page is untouched.
  }
})

One Reactivity Model. Everywhere.

Components, Stores, and Plugins all share the same reactive foundation. State, computed properties, and methods work identically no matter where they live. Learn it once, it works the same way in a UI component, a global store, or a framework plugin.

Other frameworks make you learn a different system for each layer. React components use hooks, but stores need Redux or Zustand, which are completely different APIs. Vue components use reactive data, but Pinia stores have their own patterns. Every layer is a new mental model.

In WildflowerJS, there's one model. A store is a component without a template. A plugin is an entity that extends the framework itself, adding directives, lifecycle hooks, and services. The same this.count++ triggers the same reactivity everywhere.

This unlocks patterns other frameworks can't express. A store can run headless physics simulations with tick(), feeding data into a component that renders it through a pool, all using the same reactive primitives, no glue code required.

// Component: reactive UI
wildflower.component('cart', {
  state: { items: [] },
  computed: {
    total() { return this.items.length; }
  }
})

// Store: global shared state
wildflower.store('user', {
  state: { name: '', role: 'guest' },
  computed: {
    isAdmin() { return this.role === 'admin'; }
  }
})

// Plugin: extends the framework
wildflower.plugin({
  name: 'notifications',
  state: { items: [], unreadCount: 0 },
  computed: {
    hasUnread() { return this.unreadCount > 0; }
  },
  add(msg) { this.items.push(msg); this.unreadCount++; }
})
// Access globally: wildflower.$notifications.add(...)

// Same state. Same computed. Same methods.

Data Pools

Every framework wraps collection items in reactive proxies, whether the item needs it or not. WildflowerJS gives you a choice: data-list for push reactivity (automatic), data-pool for pull reactivity (explicit control, zero proxy overhead).

Pools render plain objects with the same template syntax as lists. Mutate the object, call markDirty(), and only that item updates. Full CRUD, selection, bulk operations, all faster than the push-reactive path.

And because pools use pull-based rendering, they scale to simulations, games, particle systems, and data visualizations at native frame rate. Use cases that would choke a virtual DOM. No other framework has anything like this.

<div data-component="user-table">
  <tbody data-pool="users" data-key="id">
    <template>
      <tr>
        <td data-bind="name"></td>
        <td data-bind="status"
            data-bind-class="status === 'active'
              ? 'badge success'
              : 'badge inactive'"></td>
      </tr>
    </template>
  </tbody>
</div>
wildflower.component('user-table', {
  pools: { users: {} },

  init() {
    // Populate: plain objects, no proxies
    data.forEach(u => this.pools.users.add(u));
  },

  // Optional: add tick() and the same pool
  // renders every frame. Same template, same
  // data, different rendering frequency.
  // That's the only difference between a
  // display table and a particle system.
})

Built for AI-Assisted Development

Because WildflowerJS is standard HTML and JavaScript, AI code assistants already know how to write it. There's no custom syntax to hallucinate or compiler quirks to work around. The code an AI generates runs exactly as written, with no build step between generation and execution.

We go further. WildflowerJS ships an AI-optimized reference page with patterns, anti-patterns, and examples designed for code generation context windows. Our llms.txt file follows the llms.txt convention for machine-readable documentation.

And for structured app generation, our Universal App Manifest lets you describe an entire application as a JSON schema (components, state, computed properties, methods, templates) and have an AI generate the working code from the manifest, mediated through framework-specific idiom files.

You: "Build me a todo app with
WildflowerJS"

AI reads llms.txt or ai-assistant.html
     ↓
Generates standard HTML + JS
     ↓
<div data-component="todo-app">
  <input data-model="newItem">
  <button data-action="addItem">
    Add
  </button>
  <ul data-list="items">
    <template>
      <li data-bind="text"></li>
    </template>
  </ul>
</div>
     ↓
Open in your browser. It works, and you can read and understand the code.

Performance Optimization

Best practices for building fast, efficient WildflowerJS applications.

Built for Speed: WildflowerJS uses fine-grained reactivity with direct DOM updates, no virtual DOM diffing overhead. Most applications are fast by default, but these techniques help when scaling to complex UIs.

Page Setup for Optimal Performance

The way you structure your HTML page has a significant impact on Lighthouse scores and perceived performance. Following these guidelines can improve your Total Blocking Time (TBT) by 50% or more.

Script Loading Best Practices

Place all scripts in <head> with the defer attribute:

<!DOCTYPE html>
<html lang="en">
<head>
    <meta charset="UTF-8">
    <meta name="viewport" content="width=device-width, initial-scale=1.0">
    <title>My App</title>
    <link rel="stylesheet" href="styles.css">

    <!-- All scripts in head with defer -->
    <script defer src="https://unpkg.com/wildflowerjs@1/dist/wildflower.min.js"></script>
    <script defer src="https://cdn.jsdelivr.net/npm/chart.js"></script>
    <script defer src="app.js"></script>
</head>
<body>
    <div data-component="my-app">
        <!-- Your app HTML -->
    </div>
</body>
</html>

Why This Works

Approach Behavior Performance Impact
<script defer> in head Downloads in parallel with HTML parsing, executes after DOM ready Best - parallel download, non-blocking
<script> at end of body Downloads after HTML parsed, blocks until complete Good - but sequential, not parallel
<script> in head (no defer) Blocks HTML parsing until downloaded and executed Worst - blocks everything

Key Points

  • Parallel downloads - With defer, the browser downloads scripts while parsing HTML
  • Preserved order - Defer scripts execute in document order (framework loads before app.js)
  • DOM ready guarantee - Defer scripts run after HTML is parsed but before DOMContentLoaded
  • No wrapper needed - Unlike inline scripts, external defer scripts don't need DOMContentLoaded wrappers
UAM Does This Automatically: When you use UAM with framework idiom files, your pages are automatically structured with optimal script loading. The --no-inline flag generates a separate app.js file with proper defer attributes.

Preventing Flash of Unstyled Content (FOUC)

When using defer scripts, the HTML renders before JavaScript executes. This can cause modals and other initially-hidden elements to briefly flash. Add this CSS to prevent the flash:

/* Hide cloaked elements until framework processes them */
[data-cloak] { display: none; }

Add the data-cloak attribute to elements that should be hidden until the framework initializes (e.g., data-show elements starting false, data-portal elements). Place this CSS at the top of your stylesheet or in a <style> tag in the <head>. The framework removes data-cloak after initialization.

Important: Do not use data-cloak inside <template> elements (i.e., inside data-list templates). Template content is inert and invisible until the framework clones it, so there is no FOUC risk. Using data-cloak inside templates causes bugs: when new list items are created dynamically, the attribute may not be removed, causing data-show toggling to silently fail.
Note: UAM-generated pages automatically include this anti-FOUC CSS. This is the same pattern used by Alpine.js (x-cloak) and petite-vue (v-cloak).

Inline Scripts with Deferred Dependencies

If you have inline scripts that depend on deferred external libraries, wrap them in DOMContentLoaded. Deferred scripts execute after HTML parsing but before DOMContentLoaded fires, so this ensures your dependencies are loaded:

<head>
    <!-- External library loaded with defer -->
    <script defer src="https://cdn.example.com/library.js"></script>
</head>
<body>
    <!-- Inline script that uses the library -->
    <script>
    document.addEventListener('DOMContentLoaded', function() {
        // Library is now available
        library.init();
    });
    </script>
</body>
UAM handles this automatically. Inline scripts in UAM-generated pages are wrapped in DOMContentLoaded.

Lighthouse Results Comparison

Using defer scripts in <head> vs scripts at end of <body>:

Metric Scripts at End of Body Defer Scripts in Head
First Contentful Paint (FCP) ~3.5s ~2.3s
Total Blocking Time (TBT) ~450ms ~290ms
Lighthouse Score ~65 ~80

Understanding the Reactivity Model

WildflowerJS tracks dependencies at the binding level, not the component level. When state changes:

  1. Only bindings that reference the changed property update
  2. DOM updates happen directly (no virtual DOM diff)
  3. Sibling elements are unaffected

This means a component with 1000 bindings where only one property changes will only update that one DOM node.

List Rendering Performance

Keyed Rendering

WildflowerJS automatically uses keyed rendering when your list items have an id property. This enables efficient updates for:

  • Reordering - Items are moved, not recreated
  • Insertions - Only new items are rendered
  • Deletions - Only removed items are destroyed
// Keyed rendering (automatic when items have 'id')
state: {
    items: [
        { id: 1, name: 'First' },
        { id: 2, name: 'Second' },
        { id: 3, name: 'Third' }
    ]
}

Without an id property, the framework falls back to index-based rendering, which is less efficient for reordering operations.

Optimized Array Operations

The framework detects common array operations and optimizes DOM updates:

Operation Detection Optimization
push() Append detection Only creates new elements at end
unshift() Prepend detection Only creates new element at start
splice() Insert/remove detection Surgical DOM updates at splice point
Swap two items Swap detection DOM node swap (no recreation)
Sort/reverse Reorder detection Moves existing nodes (with keys)

Large List Best Practices

// For very large lists, consider pagination or windowing
wildflower.component('paginated-list', {
    state: {
        allItems: [], // Full dataset
        page: 0,
        pageSize: 50
    },

    computed: {
        // Only render current page
        visibleItems() {
            const start = this.page * this.pageSize;
            return this.allItems.slice(start, start + this.pageSize);
        },

        totalPages() {
            return Math.ceil(this.allItems.length / this.pageSize);
        }
    }
});

data-show vs data-render

Choose the right conditional rendering approach based on your use case:

Attribute Performance Characteristics Best For
data-show Fast toggle (CSS only), keeps DOM/state Frequently toggled content, tabs, dropdowns
data-render Slower toggle (DOM insert/remove), frees memory Expensive widgets, modals, rarely-shown content
<!-- Use data-show for frequently toggled UI -->
<div class="dropdown-menu" data-show="isDropdownOpen">
    ...menu items...
</div>

<!-- Use data-render for expensive, rarely-shown content -->
<div data-render="showAnalyticsDashboard">
    <div data-component="heavy-charts">
        ...complex visualization...
    </div>
</div>

Computed Property Optimization

Automatic Caching

Computed properties are cached and only re-evaluate when their dependencies change:

computed: {
    // Only recalculates when items array changes
    expensiveCalculation() {
        return this.items
            .filter(item => item.active)
            .map(item => item.value * 2)
            .reduce((sum, val) => sum + val, 0);
    }
}

Avoid Expensive Operations in Templates

// BAD: Recalculates on every access
// <span data-bind="items.filter(i => i.active).length">

// GOOD: Use computed property (cached)
computed: {
    activeCount() {
        return this.items.filter(i => i.active).length;
    }
}
// <span data-bind="activeCount">

Component Architecture

State Separation

Separate unrelated state into different components to prevent unnecessary update propagation:

// BAD: Mixed concerns cause unnecessary updates
wildflower.component('app', {
    state: {
        theme: 'light',      // Theme changes trigger...
        currentPage: 'home', // ...navigation re-renders
        userData: {}         // ...and user display updates
    }
});

// GOOD: Separated concerns
wildflower.component('theme-manager', {
    state: { theme: 'light' }
});

wildflower.component('navigation-manager', {
    state: { currentPage: 'home' }
});

wildflower.component('user-manager', {
    state: { userData: {} }
});

Preserve Components During Content Updates

Use data-external to preserve components when parent HTML is replaced:

<div data-component="content-area">
    <!-- This component survives innerHTML updates -->
    <div data-external data-component="persistent-widget">
        ...maintains state across content changes...
    </div>

    <!-- This content can be replaced -->
    <div class="dynamic-content" data-bind-html="pageContent"></div>
</div>

Event Handling Optimization

Debouncing and Throttling

Use built-in debounce and throttle for high-frequency events:

<!-- Debounce: Wait for pause in input (good for search) -->
<input
    data-model="searchQuery"
    data-action="input:onSearch"
    data-event-debounce="300">

<!-- Throttle: Limit frequency (good for scroll/resize) -->
<div
    data-action="scroll:handleScroll"
    data-event-throttle="100">

Event Delegation in Lists

WildflowerJS uses event delegation internally for list items, so you don't need to worry about attaching thousands of event handlers:

<!-- Framework handles delegation automatically -->
<ul data-list="items">
    <template>
        <li>
            <!-- Not 1000 handlers, just 1 delegated handler -->
            <button data-action="handleClick">Click</button>
        </li>
    </template>
</ul>

Debugging Performance

Enable Debug Mode

Debug mode logs reactivity information to help identify unnecessary updates:

<!-- Via script tag -->
<script src="wildflower.min.js" data-debug="true"></script>

<!-- Or via JavaScript -->
<script>
window.WILDFLOWER_DEBUG = true;
</script>

Browser DevTools

Use the Performance tab in browser DevTools to profile your application:

  1. Open DevTools → Performance tab
  2. Click Record and perform the slow action
  3. Look for long-running JavaScript or excessive DOM operations
  4. Check the "Bottom-Up" view for hot functions

Performance Checklist

Quick Reference:
  • Use id properties on list items for keyed rendering
  • Use data-show for frequently toggled content
  • Use data-render for expensive, rarely-shown widgets
  • Move expensive calculations to computed properties
  • Separate unrelated state into different components
  • Use debounce/throttle for high-frequency events
  • Choose the smallest bundle that meets your needs
  • Use data-external to preserve components during HTML updates