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.

Context System

Understand WildflowerJS's internal context management system for DOM binding, actions, conditionals, and lists.

Core Concept: A context is the link between a DOM element and its reactive behavior. When you add data-bind="username" to an element, WildflowerJS creates a binding context that knows: which element to update, which state property to watch, and how to render the value. This context is then registered so that when state.username changes, the framework can look up all contexts watching that path and update their elements directly.

Each context also tracks its position in the DOM hierarchy—its parent context and child contexts—enabling the framework to understand relationships without virtualizing the entire DOM tree. This includes relationships between bound elements within a component, between parent and child components, and between lists and their rendered items (including nested lists within list items).

Context Registry Overview

WildflowerJS maintains a ContextRegistry that manages all DOM element contexts:

Context Type Attribute Purpose Registry
Binding data-bind Display reactive data _bindings
Action data-action Handle events _actions
Conditional data-show, data-render Conditional visibility (data-show) or full mount/unmount (data-render) _conditionals
List data-list Array rendering _lists
Model data-model Two-way binding _models
📝 Namespace Prefix: All data-* attributes also support a data-wf-* prefix (e.g., data-wf-bind, data-wf-action). Use the wf prefix when integrating with third-party libraries that may conflict with standard data-* attributes. Both prefixes are functionally identical.

Context Lifecycle

Each context goes through a predictable lifecycle with three phases:

1. Creation

When the framework scans the DOM (during component initialization or after dynamic content is added), it discovers elements with reactive attributes and creates the appropriate context for each:

  • data-bind="username" → Creates a binding context that will update this element when state.username changes
  • data-action="save" → Creates an action context that will call the save() method when clicked
  • data-list="items" → Creates a list context that manages rendering items from the array
  • data-show="isVisible" → Creates a conditional context that controls element visibility
  • data-model="email" → Creates a model context for two-way binding with form inputs

Each context is registered in the framework's context registry, indexed by type, element, and component for efficient lookup.

2. Active Phase

Once created, contexts actively respond to changes:

  • Binding contexts listen for state changes on their watched path and update the DOM element's content
  • Action contexts listen for DOM events (click, input, etc.) and invoke the appropriate component method
  • List contexts detect array mutations (push, splice, etc.) and efficiently update only the affected DOM elements
  • Conditional contexts evaluate their condition when dependent state changes and show/hide the element
  • Model contexts synchronize in both directions: DOM changes update state, state changes update the DOM

The framework tracks dependencies between contexts, so when state.username changes, only the contexts watching that specific path are notified, not every context in the application.

3. Destruction

Contexts are cleaned up when their associated DOM element is removed:

  • Component destruction: when a component is destroyed, all its contexts are removed from the registry
  • List item removal: when an item is removed from a list, all contexts for that item's DOM elements are destroyed
  • Dynamic content replacement: when innerHTML replaces content, orphaned contexts are garbage collected

The framework runs periodic garbage collection to detect and clean up contexts whose DOM elements are no longer in the document, preventing memory leaks.

Note: data-show keeps contexts alive when hiding elements; it only toggles CSS visibility. This is more efficient for frequently toggled content since contexts don't need to be recreated. For content that should fully unmount (destroying contexts), use data-render instead.

Cross-Entity Communication

For HTML template bindings, use the $ universal accessor to read state from any entity directly: data-bind="$component.path". For JavaScript-level access, use subscribe with this.stores for stores, or wildflower.getComponent() for components:

<!-- HTML: bind directly to another entity's state -->
<span data-bind="$user-session.user.name"></span>
<div data-show="$auth.isLoggedIn">Welcome!</div>
<span data-bind="$cart.itemCount"></span>
// JavaScript: use subscribe + this.stores for store access
wildflower.component('cart-badge', {
    subscribe: {
        cart: ['items']
    },

    computed: {
        itemCount() {
            return this.stores.cart.items.length
        }
    }
})

// JavaScript: use getComponent() for component access
wildflower.component('themed-panel', {
    computed: {
        themeClass() {
            const theme = wildflower.getComponent('theme-manager')
            return theme ? 'theme-' + theme.mode : 'theme-light'
        }
    }
})

Dependency Tracking

The context system automatically tracks dependencies between components:

✅ Automatic Dependency Management:
  • Components using subscribe or $entity.path bindings automatically register as dependents
  • Changes trigger updates only in dependent components
  • Circular dependency detection prevents infinite loops
  • Cleanup occurs automatically when components are destroyed

Dependency Maps

WildflowerJS maintains internal dependency maps to track cross-entity relationships:

// Entity dependency tracking (store/plugin subscribers)
_entityDependents: Map()      // entityId → Set of dependent component IDs

// Subscribe block example
wildflower.component('dashboard', {
    subscribe: { cart: ['items'] },
    // This creates a dependency: dashboard depends on cart store's items path
})

Context Performance

Understanding context performance characteristics:

Operation Characteristic Notes
Context Creation Fast WeakMap-based registration
Binding Update Direct Updates DOM element immediately
Dependency Resolution Fast Map-based lookups
Context Cleanup Scales with dependencies Cleans up all registered dependencies
Entity Lookup Fast Map-based entity lookup

Advanced Context Patterns

Context Debugging

Debugging context-related issues:

// Enable context debugging
wildflower.debug = true

// Access context registry
const registry = wildflower.contextRegistry

// Inspect specific context types
console.log('Bindings:', registry._bindings.size)
console.log('Actions:', registry._actions.size)
console.log('Conditionals:', registry._conditionals.size)

// Check component dependencies
const componentId = this.componentId
console.log('Dependencies:', registry._dependingComponents.get(componentId))

Inspecting Context Hierarchy

You can inspect the context hierarchy at runtime using the context registry:

// Get a summary of all registered contexts by type
const registry = wildflower.contextRegistry
console.log('Contexts by type:', registry.contextsByType)

// Inspect contexts for a specific component
console.log('Contexts by component:', registry.contextsByComponent)

This is useful for debugging binding issues. You can verify that the expected contexts exist for your elements and that they're watching the correct state paths.

Context Best Practices

✅ Do
  • Use $entity.path in HTML for cross-entity data binding
  • Rely on automatic dependency tracking
  • Clean up event listeners in destroy()
  • Use subscribe + this.stores for store access in JS
  • Leverage the framework's context lifecycle
❌ Don't
  • Manually manipulate the context registry
  • Create circular dependencies between components
  • Access private context properties directly
  • Ignore memory leaks in store subscriptions
  • Override framework context management