WildflowerJS Reactive JS, No BS*

A no-build reactive JavaScript framework as fast and robust as compiled frameworks.

Latest release: v1.5.1 · see what's new
<script src="wildflower.min.js"></script> ...and start building.

Back to Basics

With WildflowerJS, you write 100% standard code. HTML stays HTML. JavaScript stays JavaScript. CSS stays CSS. There's no JSX, templating language, or custom syntax to learn. If you know the standards, you already know how to use WildflowerJS.

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. There's nothing to install, and no custom file types or sourcemaps. Save the file, refresh, and your change is live.

Just be a web developer.

Batteries Included: One Mental Model

Router, SSR, queries, stores, computed properties, two-way binding, event modifiers, data pools, and TypeScript types, all built in, all using the same API. Learn data-bind once and you know binding everywhere: in lists, pools, stores, plugins. 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 is for automatic reactivity: mutate state, the DOM updates. data-pool is for explicit control: plain objects, zero proxy overhead, you say what changed.

Both use the same template syntax and differ in performance profile, from interactive forms to per-frame particle systems. You choose the tradeoff that fits the job.

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

See full demo →

* Build Step

No Compromise

WildflowerJS doesn't compromise performance for ease-of-use. Even with no build step, WildflowerJS performs at the level of frontier frameworks on the official js-framework-benchmark board, where its data-pool entry outpaces every major framework and its standard entry sits with the fastest signal-based compilers. And for per-frame workloads, data pools lead every framework we tested in our Lorenz attractor simulation demo.

The charts here are the overall geomean standings and the operation breakdown from the official September 2026 run, plus the sustained frame rate from our per-frame animation sweep. Click any chart to see it full size.

Delivery is fast too, because there's less to deliver. It ships as one file, with no runtime split across chunks and no hydration pass. Lighthouse scores hold their own against compiled frameworks without a single build artifact.

WildflowerJS doesn't trade simplicity of interface for performance of implementation.

Benchmark setup: the two js-framework-benchmark charts show the official September 2026 run (Chrome 152; MacBook Pro 14, M4 14/20 cores, 48 GB RAM, macOS 26.6.2; puppeteer driver), operations 1 through 9, total-duration medians, lower is better. The frame-rate chart is our own sweep: each framework's fastest variant on the Lorenz attractor for 8 seconds per particle count, fullscreen on a 120 Hz panel, higher is better; Apple M5 Pro, 24 GB RAM, macOS 26.5.2, Google Chrome 150 (stable, headed).

Bar chart of the official weighted geometric mean slowdown versus the fastest implementation per operation, Chrome 152: WF-pool 1.09, Vue Vapor 1.12, Solid 1.13, WF 1.16, Svelte 1.17, Vue 1.31; vanilla 1.04 and React 1.58 not shown. Lower is better.
Geomean slowdown vs fastest per operation. Lower is better.
Grouped bar chart of all nine js-framework-benchmark operations for Solid, Svelte, Vue, Vue Vapor, WF, and WF-pool from the official Chrome 152 run, with per-operation rankings. WF-pool is fastest on most operations.
All nine operations, side by side. Stars mark the fastest.
Line chart of sustained FPS versus particle count on the Lorenz attractor for Solid, Svelte, Vue, Vue Vapor, WF, and WF-pool. WF-pool holds the highest frame rate at every count, staying above 60 FPS past 4500 particles.
Per-frame animation. Sustained FPS as particle count grows; higher is better.

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.

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 standard JS 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, Pools, and now Data Queries 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 across all of those entities.

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 makes patterns possible that other frameworks cannot 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.

Live Server Data: Built In, Stays True

With WildflowerJS SSR, the page arrives with its data already in the HTML. The server (your server, whatever back-end you prefer) renders your data into real HTML, so the first paint is real content, indexable and readable before a line of JavaScript runs. And because the markup is genuine HTML, hydration reads the page's state straight back out of the document. Server-rendered components end up exactly equivalent to client-rendered ones.

v1.3 brings data-query, which does for the rest of the page's life what SSR does for first load. Most frameworks hand you fetch() and leave the rest to you. There's an entire ecosystem of client data libraries that exists to fill that gap. WildflowerJS makes it a declaration instead. Name a source, point an element at it, say how fresh it should stay. Loading and error states, refresh on demand, request racing, and the whole refresh ladder (poll, conditional GET, focus, reconnect, server push) come with it. There is also no query language. Refinement is an ordinary computed property, and filtering happens client-side without a network round trip.

v1.5 completes the shape with writes. A query that declares where its rows come from can declare where changes go: to: is the transport, write() applies the change on screen immediately, and confirmation: decides what the server's answer means. If the server refuses, only the fields that write still owns revert, so two writes to the same row never clobber each other and you write no cancellation logic to get it. Computed properties may also return a promise now, holding the last settled value while the next one resolves.

Together, Wildflower's SSR and data-query cover one job at two different times. The server renders the page with real data. Because hydration reads the page itself, there's no flash of empty content, no loading spinner over data the user can already see, and no hydration scripts locking up the main thread. The server's render is the actual UI. When paired with data-query, your SSR becomes the first result of a standing query. The query adopts that markup and keeps it updated from there.

In the example above, the markup is 100% HTML.

<div data-component="product-board">
  <p data-show="$products.isLoading">
    Loading…
  </p>
  <p data-show="$products.error">
    Failed.
    <button data-action="retry">Retry</button>
  </p>

  <span data-bind="$products.count"></span>
  products

  <tbody data-query="products">
    <template>
      <tr>
        <td data-bind="name"></td>
        <td data-bind="stock"></td>
      </tr>
    </template>
  </tbody>
</div>
// The entire data layer:
wildflower.query('products', {
  from: '/api/products',
  key: 'id',
  refresh: ['focus', 'etag:60'],

  // v1.5: where changes go
  to: '/api/products/:id',
  body: (item) => item,
  confirmation: (d) => d.product
});

// The key plus only what changed. On screen
// at once; if the server refuses, only those
// fields revert.
getQuery('products')
  .write({ id: 42, stock: 40 });

// Server-rendered page? Add data-ssr="true"
// and the markup the server sent becomes the
// query's first result. Live from there.

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, which a virtual DOM cannot sustain. No other framework offers this choice.

<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.
})

No 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, config file, or .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, including router, SSR, stores, computed properties, transitions, and pools.

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. NONE of that.

No Install. No Attack Surface.

Every dependency you install lets a maintainer you have never met run 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.

A WildflowerJS project has none of that surface. There is no npm install, postinstall script, or 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, with no npm install and no transitive packages in the build path. The entire toolchain is three files verified by hash.

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.

No 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 alone.

That means Leaflet, DataTables, Chart.js, D3, Three.js, any library that touches the DOM, just works. There are no wrapper packages or framework-specific escape hatches required. Drop in a script tag, it's ready to go.

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 the whole of vanilla JS, with no 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);
  }
})

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.

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.

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.
← Back to Blog

Reactive Frameworks Are Taxing You To Death

Modern web development runs on a tax system. Every framework abstraction is a recurring bill: dependencies to maintain, toolchains to learn, performance hits to absorb. Calling these "trade-offs" is too polite. They are taxes, and the most productive thing you can do is stop paying. Build equity instead.

Lorenz attractor benchmark across reactive frameworks. WildflowerJS shows a smooth curve as entity count rises while other frameworks bend off early.
The reactivity tax being paid when doing high-throughput DOM tasks.

The chart above shows benchmarks from a Lorenz attractor demo, using just DOM entities, and how different frameworks handle increasing entity counts.

The Lorenz attractor is a good benchmark because we can use identical math across frameworks to test how their reactive systems can keep up with high-throughput DOM display.

The raw numbers are not as important as the curve shapes. In other frameworks, their logic starts interfering early, while with WildflowerJS, the logic isn't the bottleneck, DOM-rendering is, so you see a smooth curve over the course of the graph. Other frameworks fall off the cliff.

You can see how, when using just the DOM, performance will start to degrade as the browser's handling of the throughput becomes the bottleneck. But you can also see from the chart how platforms react and manage even moderate loads differently, depending on their reactivity flow.

Tax 1: High-throughput reactivity tax

This is just one of the taxes that you pay as a reactive developer: reactive systems are not built for high-throughput DOM interactions.

WildflowerJS offers data-pool for high-throughput DOM. A second reactive path: pull-based reactivity for games, simulations, particle effects, and for high-item-count lists.

<div data-component="dust">
    <div data-pool="particles" data-key="id">
        <template>
            <div class="particle"
                 data-bind-style="{ left: x + 'px', top: y + 'px' }"></div>
        </template>
    </div>
</div>

<script>
wildflower.component('dust', {
    pools: { particles: {} },
    init() {
        const batch = [];
        for (let i = 0; i < 1000; i++) {
            batch.push({ id: i, x: Math.random() * 800, y: Math.random() * 600 });
        }
        this.pools.particles.add(batch);
    },
    tick(dt) {
        for (const p of this.pools.particles.items) {
            p.x = (p.x + dt * 0.05) % 800;
        }
    }
});
</script>

One template, 1,000 entities, no per-item subscriptions, mutating in place inside tick. The dt argument is the framework-supplied frame delta, so motion stays smooth at any refresh rate without you having to track time yourself.

Lorenz Attractor Demo

Tax 2: Multiple models tax

React has hooks, context, reducers, suspense, server components. Vue has Options API, Composition API, Pinia stores, composables. Each is a different mental model for "state that reacts to other state," with different rules about when it runs, what it can close over, and how it tears down. You can't transfer intuition cleanly from one to another, and half of senior code review becomes "should this be a hook or a context, a store or a composable." Those questions exist because the framework offers multiple primitives that do similar work.

The cost shows up before you've written a line. You open a file and pick which reactivity flavor to reach for, before you've modeled the domain.

WildflowerJS has one entity model. Components, stores, plugins, and pools share the same shape: state, computed, methods, lifecycle. The decision moves from "which primitive" to "which entity": a domain question, not a framework question.

A concrete example: the internal project tracker built as v1.1's canary app has five entity types: Members, Teams, Cycles, Issues, and the relations between them. Five entities, same shape five times. Reading the code, the cognitive load is "what's a Cycle and how does it relate to an Issue," not "is this a hook or a context."

The framework gets out of the way of the modeling. After a few hours, you stop thinking about reactivity primitives and just think about the domain. New components, new stores, new pools, all the same shape and lifecycle as the last one. The framework stops competing with the domain for attention, and the work feels lighter, almost obvious.

The unification extends to performance. When you reach for high-throughput rendering, pool entities use the same shape as everything else. There's no second mental model for the parts of your app that go fast.

Try the Project Manager demo
See our Entity Model documentation

Tax 3: Tooling tax

Modern frameworks require you to be as fluent in the tooling as you are in the framework.

They ship with a toolchain: Vite, webpack, esbuild, dozens of plugins. Your team has to learn it, your CI has to build it.

These tools are required because the frameworks make you write in non-standard syntax, non-standard file formats, because the frameworks themselves require optimizations through compilation to be competitive. And this tooling becomes part and parcel to your knowledge of the framework.

Tooling tax: a modern Next.js stack passes Source through a Compiler (required), Bundler (required), CSS pipeline (optional), and Minifier (optional) before reaching the Browser. WildflowerJS goes Source straight to Browser, with an optional Minifier available if the developer wants it.
Modern: four build steps, two required. WildflowerJS: none required.

WildflowerJS has no build step. Drop in a script tag and code. Your IDE understands it, your CI has nothing to configure, you can start immediately. And if you think a framework needs a build step to be competitive in benchmarks, the truth is other frameworks need the build step to be competitive. WildflowerJS does not.

See our Installation guide

Tax 4: Supply chain safety tax

A counter app in Next.js, with the defaults most developers accept (TypeScript + Tailwind + ESLint), installs 429 packages and fills 457 MB of node_modules before you've typed a line of logic. A Vite + React counter with the same real-world layer: over 200 packages.* Each one is an attack vector. Each maintainer holds a key to your build.

See event-stream (2018), UAParser.js (2021), node-ipc (2022), Shai-Hulud (2025), and most recently Mini Shai-Hulud (May 2026) - the same worm class evolved with a new trick. In a single 6-minute publishing window on May 11, 2026, Mini Shai-Hulud compromised 170+ packages: all 42 @tanstack/* packages, Mistral AI's entire SDK, UiPath's 65-package automation suite, OpenSearch (1.3 million weekly downloads). OpenAI was among the named victims. The malicious versions carried valid SLSA Build Level 3 provenance attestations - the first documented npm worm whose payloads were cryptographically vouched for by GitHub Actions itself. The "safe to trust" signal didn't help, because the signal came from infrastructure the worm had already compromised.

One unpaid maintainer, millions of weekly downloads, one compromised credential away from shipping attacker code into your users' browsers. Your framework's supply chain becomes your supply chain. Now in 2026, AI-driven vulnerability probing allows automated threats to find every crack in your 400MB of node_modules before you've even deployed. What's coming next?

WildflowerJS is one file. Drop it in a <script> tag and code. No toolchain. No dependencies. With v1.1, the framework dist files themselves are built with no npm transitive dependency attack surface. No strangers' code between you and your users. Security-conscious teams can audit it in an afternoon and move on.

See our PROVENANCE document

Tax 5: Syntax tax

.vue, .svelte, .jsx. Not HTML, JavaScript, or CSS. Every one requires a compiler. Your IDE needs a plugin to understand them. Your linter needs a custom parser. And AI assistants have to be trained on your framework's dialect and build steps to help you write efficient, optimized code.

WildflowerJS apps are written with 100% standard HTML, JS, and CSS. Tools that know the standards can understand WildflowerJS apps, and developers who know JavaScript can read your code without a translation codex. Your IDEs never need a codex for your WildflowerJS code. Version 1.1 brings a DevTool panel for convenience, but you don't need it to be productive.

Tax 6: Escape-from-platform tax

Or, the "Ecosystem tax."

When the framework has a virtual DOM, it no longer plays nicely with DOM-mutating libraries. Every framework eventually seems to require its own version of every standard browser function. Forms become RHF. Fetch becomes React Query. Validation becomes Zod. Animation becomes Framer Motion. For those features that you need a vanilla JS library for, you now need a wrapper. Then the frameworks and their adherents turn around and tout the size of their ecosystem vs other frameworks.

WildflowerJS does not have a virtual DOM. this.$el('.container').el hands you a real DOM element. Every vanilla JS library works out of the box, without a wrapper, plugin, or workaround. Your ecosystem is the entire web platform.

See our Third-Party Library Integration documentation

Tax 7: Memoization tax

React doesn't know which parts of your component depend on which state, so it re-runs the whole component on every state change. The fix is manual caching: useMemo, useCallback, React.memo, and the dependency-array discipline that comes with each. Forget a dependency and you ship a stale closure. Add the wrong one and you cache nothing.

Vue and Svelte's compilers do most of this work for you, but not all of it. You still have to know when to reach for v-memo in Vue or how Svelte 5's runes track what changed, or things slow down.

WildflowerJS doesn't ask, and doesn't demand. Each binding tracks its own state. When count changes, only the elements bound to count update. No memoization. No dependency arrays. No rituals.

See our Reactivity documentation

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

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

The <span> is the only DOM the framework touches when count changes. There is no useMemo, React.memo, or dependency array. The framework already knows what depends on what.

Tax 8: Black-box debugging tax

After the build step, the code running in your browser is not the code you wrote. DevTools show you a compiled artifact. Source maps help, but they hide closure transforms, hoisting, and inlining. When something breaks in production, you're debugging code you've never seen.

With WildflowerJS, the code you wrote is the code that runs. View-source shows it. Your call stack in DevTools is your call stack, with your function names. There is no compiled artifact between you and the runtime.

Tax 9: Troubleshooting tax

When you make a mistake, where does the framework point? In React, a stale closure or a wrong dependency array surfaces three renders later as a hook-ordering error or a long stack trace into reconciler internals. The fix recipe lives on Stack Overflow, not in your console. Vue and Svelte are better, but their compiler warnings often point at generated output rather than the source you wrote.

WildflowerJS treats every cryptic error as a framework bug. Stable [WF-NNN] warning codes name the mistake, point at your code, and link to a fix recipe at a stable URL. When the framework can detect a userland shape problem (an object returned from a class binding, data-model pointed at a read-only store path, a computed function that threw) the warning fires at the moment of the mistake, with the right next move spelled out:

[WF WF-505] Class binding shape mismatch (coerced): computed returned an object; coercing truthy keys to a class string
  ↳ Suggestion: A computed should return a string. For inline expressions, write `data-bind-class="{'is-active': cond}"`.
  ↳ Docs: https://www.wildflowerjs.com/docs/error-codes?code=WF-505

The principle: the troubleshooting surface is your code, not framework internals. When you're wrong, the framework's job is to teach you immediately, not to leave you reading reconciler stack traces.

Tax 10: Hydration tax

SSR frameworks render HTML on the server, ship the entire component tree to the browser, and re-render it just to attach event listeners. You pay for the same render twice: once on the server, once in the client.

Hydration tax: modern stack runs Server, Network ship, Browser re-render of the component tree, Diff against live DOM, then Activated. WildflowerJS goes Server straight to Browser walking the existing DOM, then Activated.
Modern: render twice, diff to match. WildflowerJS: render once, walk the nodes.

WildflowerJS doesn't re-render. It walks the HTML the server already sent, reads the attributes, and attaches reactivity to the existing nodes. No second pass. No hydration mismatch errors. No content flash.

See our SSR documentation

Tax 11: Knowledge depreciation tax

In other frameworks, you don't own your skills, you rent them. And every few years a rug-pulling shift ups the rent.

Class components, then hooks, then server components, then whatever comes next. Each shift devalues what you know. The framework you mastered in 2019 is obsolete in 2026.

With WildflowerJS, you're investing in core web standards, so your investment keeps compounding. You are building equity, not paying rent.

Tax 12: Form-handling tax

React's controlled-input model re-renders on every keystroke. The fix is React Hook Form (~45k stars on GitHub), which exists solely to undo that. The framework's reactive primitive is so wrong for forms that the most popular form library in the ecosystem is one that turns the framework's reactivity off during typing.

Form-handling tax: modern stack uses Form Element, Form Manager, Validator, and Component State linked by five wires of library glue. WildflowerJS uses Input Element and Reactive State linked by one wire of native browser validation.
Modern: 4 boxes, 5 wires of library glue. WildflowerJS: 2 boxes, 1 wire.

WildflowerJS uses data-model plus the browser's native Constraint Validation API (required, pattern, :invalid). Forms are HTML again. The skill is "I know HTML forms," and it transfers to every browser-rendered app you'll ever build.

<form data-component="signup" data-action="register">
    <input data-model="email"    type="email"    required>
    <input data-model="password" type="password" minlength="8" required>
    <button>Sign up</button>
</form>

<script>
wildflower.component('signup', {
    state: { email: '', password: '' },
    register(event) {
        event.preventDefault();
        if (!event.target.checkValidity()) return;
        fetch('/api/signup', { method: 'POST', body: JSON.stringify(this.state) });
    }
});
</script>

data-model does two-way binding directly. required, type="email", and minlength are the browser's job. There is no form library and no schema.

See our Basic Form Handling documentation
See our Advanced Forms documentation

Tax 13: Data-fetching tax

useEffect-based fetching is broken in roughly the same way in every reactive framework. So every ecosystem grew its own fix. React has TanStack Query and SWR; Vue, Svelte, and Solid have their own respective adapters.

Even the libraries that try to be cross-framework, TanStack Query in particular, share their core but still ship a separate adapter per framework, because the framework's reactivity primitives don't compose across the boundary. The concepts (cache keys, stale times, mutations) transfer, but the framework binding is effectively something you re-learn in every ecosystem.

In WildflowerJS, the store IS the cache. Stores are reactive containers, so the data you fetch into them is already wired to every subscribed component. The fetch lives in the store. Invalidation lives in the store. Stale time, retries, refetch on focus are normal store methods on the same object as the data. There is no adapter package, resolver, or separate cache that has to be told when your reactive state changed.

<div data-component="user-list">
    <p data-show="$users.loading">Loading...</p>
    <ul data-list="$users.items" data-key="id">
        <template><li data-bind="name"></li></template>
    </ul>
</div>

<script>
wildflower.store('users', {
    state: { items: [], loading: false },
    async load() {
        this.loading = true;
        this.items = await fetch('/api/users').then(r => r.json());
        this.loading = false;
    }
});

wildflower.component('user-list', {
    subscribe: ['users'],
    init() { this.stores.users.load(); }
});
</script>

The store is the cache. State changes inside load() propagate to the subscribed component automatically. There is no second reactive system to bridge into and no per-framework adapter package.

See our Basic Stores documentation
Physarum Store Demo

Tax 14: Schema-duplication tax

Pick a typed entity in a modern React or Vue app, a User or an Order or anything that flows from your database to your UI. The same shape gets declared three times before it reaches your business logic. Once as a TypeScript interface (the IDE needs it). Once as a Zod schema (the runtime needs it because TypeScript erased the IDE's interface). Once in the ORM or API layer (Prisma, tRPC, GraphQL codegen each ship their own). When the shape changes, you change it in three places, or one of them starts lying.

The multiplication isn't TypeScript's fault. It comes from the recommended-path companions every modern framework points you toward. tRPC ties Zod to your component tree. React Hook Form's most-documented resolver is Zod. Prisma generates a parallel type tree from its schema file. None of these are wrong tools, but each demands its own copy of the shape, and popular stack starters pull them all in.

Schema-duplication tax: modern stack declares the same shape as TS Interface, Zod Schema, and DTO/ORM mirror before reaching business logic. WildflowerJS validates at the boundary in a single step.
Modern: three declarations of the same shape. WildflowerJS: one, at the boundary.

WildflowerJS doesn't prescribe a data-layer companion. There is no opinionated validator, end-to-end type pipe, or codegen step. You fetch where you need to fetch, you validate where untyped data crosses the boundary, and the validated value lands in a store as plain reactive state. One declaration, in the place every web app since 1996 has put it: at the boundary. TypeScript is supported (full type definitions, generic components, typed stores), but it's an option, not the on-ramp to three parallel schemas. TypeScript types your methods, computeds, and stores. The dev validator types your bindings. Two halves of one safety net, not a missing one.

See our TypeScript documentation

Stop renting and start building equity

Modern reactive frameworks ask you to pay more than a dozen taxes before you write an application. We haven't even covered the bundle tax, the onboarding tax, or the testing tax. For all of those, WildflowerJS asks you to use a <script> tag. The skills you build are as "close to the metal" as you can get while maintaining performance and robustness.

None of these taxes improve your work or your users' experience. They hook you, then lock you in with debt that's easier to keep paying than to escape. You're on a treadmill, running to stay ahead of the problems the tools themselves invented.

When you write code with WildflowerJS, you aren't writing code for a framework. You are writing code for the Web. Your logic is transparent, your output is standard, and your assets are auditably secure.

WildflowerJS reaches new developers exactly one way: someone who tried it tells someone else. If you checked out WildflowerJS and resonated with its mission, please pass on a link to friends. Thanks!

* As of April 2026, Next.js 16.2 and Vite 5.x.