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.

List Patterns & Reference

Performance optimization, context variables, style binding, and array mutation patterns for lists.

Prerequisites: For list basics see Lists & Iteration. For filtering and external data, see Advanced Lists.

List Performance Optimization

Automatic Optimizations:
  • Only changed list items are re-rendered
  • Templates are cloned efficiently using DocumentFragment
  • Automatic element recycling for large lists
  • Computed properties are cached across list items

Large List Best Practices

For very large lists (1000+ items), consider these patterns:

// Pagination pattern
computed: {
    paginatedItems() {
        const start = (this.currentPage - 1) * this.pageSize
        const end = start + this.pageSize
        return this.allItems.slice(start, end)
    }
}

// Virtual scrolling for extremely large lists
computed: {
    visibleItems() {
        const startIndex = Math.floor(this.scrollTop / this.itemHeight)
        const endIndex = startIndex + this.visibleCount
        return this.allItems.slice(startIndex, endIndex)
    }
}

List Context and Data Access

Understanding data access patterns within list templates:

Context Syntax Description
Item Property data-bind="propertyName" Direct access to current item's properties
Component State data-bind="state.componentProperty" Access component's state properties
Component Computed data-bind="propertyName" Access component's computed properties
Item Computed data-bind="propName" Computed properties scoped to current item

List Context Variables

WildflowerJS provides special variables within list templates that give you information about each item's position. These are particularly useful for conditional styling with data-bind-class:

Variable Type Description
_index Number Zero-based index of the current item (0, 1, 2, ...)
_length Number Total number of items in the list
_first Boolean true if this is the first item in the list
_last Boolean true if this is the last item in the list

Usage Examples

Use list context variables in data-bind-class expressions to create position-aware styling:

<!-- Disable up/down buttons at list boundaries -->
<!-- Also disable both buttons when there's only one item -->
<div data-list="items">
    <template>
        <div class="item">
            <button data-action="moveUp"
                    data-bind-class="_first || _length === 1 ? 'btn-secondary disabled' : 'btn-primary'">
                ↑
            </button>
            <span data-bind="name"></span>
            <button data-action="moveDown"
                    data-bind-class="_last || _length === 1 ? 'btn-secondary disabled' : 'btn-primary'">
                ↓
            </button>
        </div>
    </template>
</div>

<!-- Style based on position -->
<div data-list="items">
    <template>
        <div data-bind-class="_index === 0 ? 'highlight-first' : _last ? 'highlight-last' : ''">
            <span data-bind="name"></span>
        </div>
    </template>
</div>

<!-- Show different message based on list size -->
<div data-list="items">
    <template>
        <div data-bind-class="_length < 3 ? 'compact-view' : 'full-view'">
            Item <span data-bind="_index + 1"></span> of <span data-bind="_length"></span>
        </div>
    </template>
</div>
Tip: When a list has only one item, that item is both _first and _last. For move buttons, you may want to also check _length === 1 to disable both buttons when there's nothing to move.

Action Handler Context (details object)

In action handlers, the details parameter provides the same context information plus direct access to the item and list data:

Property Type Description
details.index Number Zero-based index of the current item
details.item Object The actual data object for this list item
details.list Array The full array being rendered
details.length Number Total number of items in the list
details.first Boolean true if this is the first item
details.last Boolean true if this is the last item
details.parent Object Parent list context (for nested lists)
// Using details in action handlers
moveUp(event, element, details) {
    if (details.first) return  // Already at top
    const { index, item } = details
    this.items.splice(index, 1)
    this.items.splice(index - 1, 0, item)
},

moveDown(event, element, details) {
    if (details.last) return  // Already at bottom
    const { index, item } = details
    this.items.splice(index, 1)
    this.items.splice(index + 1, 0, item)
},

removeItem(event, element, details) {
    const { index, item } = details
    if (confirm(`Delete "${item.name}"?`)) {
        this.items.splice(index, 1)
    }
}

Nested List Actions with Parent Context

When working with nested lists (like a kanban board with columns containing cards), action handlers in the inner list receive details.parent which provides access to the parent list's context. This is essential for operations that need to know which parent container an item belongs to.

<!-- Kanban-style nested list structure -->
<div data-component="kanban-board">
    <div class="board" data-list="columns">
        <template>
            <div class="column">
                <h3 data-bind="name"></h3>
                <div data-list="cards">
                    <template>
                        <div class="card">
                            <span data-bind="title"></span>
                            <button data-action="deleteCard">Delete</button>
                            <button data-action="moveCard">Move</button>
                        </div>
                    </template>
                </div>
            </div>
        </template>
    </div>
</div>
wildflower.component('kanban-board', {
    state: {
        columns: [
            { id: 'todo', name: 'To Do', cards: [{ id: 'c1', title: 'Task 1' }] },
            { id: 'done', name: 'Done', cards: [{ id: 'c2', title: 'Task 2' }] }
        ]
    },

    deleteCard(event, element, details) {
        // details.item = the card that was clicked
        // details.index = index of the card in its column's cards array
        // details.parent.item = the column containing the card
        // details.parent.index = index of the column in columns array

        const { item, parent } = details;
        const columnIndex = parent.index;

        // Remove the card from the correct column
        this.columns[columnIndex].cards =
            this.columns[columnIndex].cards.filter(c => c.id !== item.id);

        console.log(`Deleted "${item.title}" from column "${parent.item.name}"`);
    },

    moveCard(event, element, details) {
        const card = details.item;
        const sourceColumn = details.parent.item;
        const sourceColumnIndex = details.parent.index;

        // Now you have everything needed to move the card to another column
        // ...
    }
});
Triple-nested lists: For 3+ levels of nesting, access grandparent via details.parent.parent:
// companies → departments → employees
const employee = details.item;              // { name: 'Alice' }
const department = details.parent.item;     // { name: 'Engineering' }
const company = details.parent.parent.item; // { name: 'TechCorp' }

Nested data-list Source Resolution

Inside a row template, data-list reads item[path] first (fast path for raw fields) and falls back to evaluating an item-level computed of the same name when the field is undefined. This mirrors how data-bind, data-bind-class, and data-show already resolved item-level computeds, so the same authoring pattern works at every binding site, including nested-list sources.

// ✅ Item-level computed used directly as the inner data-list source
wildflower.component('habit-tracker', {
    state: {
        habits: [
            { id: 'h1', name: 'Read', completions: { /* ... */ } },
            { id: 'h2', name: 'Walk', completions: { /* ... */ } }
        ]
    },
    computed: {
        // Per-habit 7-day grid. `this.completions` is the current habit's
        // raw map when this evaluates inside the outer data-list template.
        last7Days() {
            if (this.id === undefined) return []
            // ... derive 7 cells from this.completions
            return /* [{ id, day, done }, ...] */
        }
    }
})
<div data-list="habits" data-key="id">
    <template>
        <div class="habit">
            <span data-bind="name"></span>
            <!-- last7Days isn't a raw field on the habit row;
                 the framework evaluates the computed per-row instead -->
            <div class="grid" data-list="last7Days" data-key="id">
                <template><span data-bind-class="cellClass"></span></template>
            </div>
        </div>
    </template>
</div>
Caveats. The fallback only fires when:
  • item[path] is undefined; a raw field of the same name shadows the computed. If your row already has a reactions field and you also want a derived view, name the computed differently (reactionChips) so the data-list can find it.
  • path is a flat name with no dots; dotted paths (a.b.c) skip the fallback. For traversal lookups, define a flat-named computed.

The enrich-at-parent pattern (build the array once in a parent-level computed and attach it to each item before rendering) is still valid and sometimes preferable: it makes the rendered row shape obvious in DevTools, and it groups the derivation alongside the row mapping. Use it when the per-row array is shared across multiple bindings, or when DevTools-inspectable item shape matters more than terse component code:

// Still useful: enrich rows at the parent level when you want the array
// visible on the row data itself.
wildflower.component('habit-tracker', {
    computed: {
        habitsWithGrid() {
            return this.habits.map(h => ({
                ...h,
                last7Days: this._buildLast7Days(h)
            }))
        }
    }
})
// <div data-list="habitsWithGrid"><template>
//   <div data-list="last7Days">...  ← reads habit.last7Days raw, no fallback needed

Dynamic Style Binding in Lists

To apply per-item styles in lists (e.g., different background colors for each column), use item-level computed properties that return style objects:

wildflower.component('styled-board', {
    state: {
        columns: [
            { id: 'todo', name: 'To Do', color: '#fff3e0', cards: [...] },
            { id: 'progress', name: 'In Progress', color: '#e3f2fd', cards: [...] },
            { id: 'done', name: 'Done', color: '#e8f5e9', cards: [...] }
        ]
    },
    computed: {
        // Item-level computed (has parameter) - returns style OBJECT
        columnStyle(item) {
            return {
                backgroundColor: item.color || '#f5f5f5',
                borderColor: item.color
            };
        },

        // Works in nested lists too - receives the nested item
        cardStyle(item) {
            const priorityColors = {
                high: '#ffebee',
                medium: '#fff8e1',
                low: '#e8f5e9'
            };
            return {
                backgroundColor: priorityColors[item.priority] || '#ffffff'
            };
        }
    }
});
<div data-list="columns">
    <template>
        <!-- computed:columnStyle receives column item, returns {backgroundColor: '...'} -->
        <div class="column" data-bind-style="columnStyle">
            <h3 data-bind="name"></h3>
            <div data-list="cards">
                <template>
                    <!-- computed:cardStyle receives card item -->
                    <div class="card" data-bind-style="cardStyle">
                        <span data-bind="title"></span>
                    </div>
                </template>
            </div>
        </div>
    </template>
</div>
CRITICAL - Style Binding Syntax:
  • data-bind-style="styleFn" - Computed returns object like {backgroundColor: 'red', color: 'white'}
  • data-bind-style="styleObject" - Direct path to a style object in state
  • NOT data-bind-style="backgroundColor:colorProp" - This syntax is INVALID

Key Pattern: The computed function receives the list item as its first parameter. This works at any nesting level - the framework automatically passes the correct item for that template context.

Array Mutation Methods

WildflowerJS supports direct array mutation - changes are automatically detected and the DOM is updated efficiently:

Method Description Example
push() Add items to the end of the array this.items.push(newItem)
pop() Remove the last item this.items.pop()
shift() Remove the first item this.items.shift()
unshift() Add items to the beginning this.items.unshift(newItem)
splice() Insert, remove, or replace items this.items.splice(index, 1)
sort() Sort the array in place this.items.sort((a, b) => a.name.localeCompare(b.name))
reverse() Reverse the array order this.items.reverse()
Direct assignment Replace the entire array this.items = [...filtered]

Efficient List Operations

The framework intelligently detects the type of array operation and optimizes DOM updates:

// Adding items - only new DOM elements are created
this.items.push({ id: 1, name: 'New Item' })

// Removing items - only affected elements are removed
this.items.splice(index, 1)

// Reordering - efficient swap detection
const item = this.items[index]
this.items.splice(index, 1)
this.items.splice(newIndex, 0, item)

// Batch operations - combine multiple mutations efficiently
this.items.push(item1, item2, item3)

// Full replacement - smart diffing determines minimal changes
this.items = this.items.filter(item => item.active)
Automatic Optimization: The framework detects append operations (adding to the end) and only creates new DOM elements for the added items. Similarly, removal operations only affect the specific removed elements, not the entire list.

List Best Practices

Do
  • Use computed properties for filtering/sorting
  • Provide unique keys for list items when possible
  • Keep list item templates lightweight
  • Use pagination for very large datasets
  • Leverage the framework's automatic indexing
Don't
  • Mutate arrays directly without framework knowledge
  • Create complex logic in template bindings
  • Render thousands of items without pagination
  • Use splice() unnecessarily for simple updates
  • Forget to handle empty list states