Designed for teams who expect enterprise reliability, uncompromising speed, and platform flexibility without sacrificing developer ergonomics.

Table of Contents

1. Chapter 1 — Product Overview
2. Chapter 2 — System Architecture
3. Chapter 3 — Capabilities & Use Cases
4. Chapter 4 — Performance & Analysis (Speed + Performance)
5. Chapter 5 — Framework Playbooks
6. Chapter 6 — Testing & Quality Gates
7. Chapter 7 — Compliance, Security & Governance
8. Chapter 8 — Adoption, Tooling & Support

Chapter 1 — Product Overview

Smilodon is a Web Component powered select/dropdown system that remains responsive even when navigating millions of records. It exposes consistent ergonomics across React, Vue, Svelte, and Vanilla JavaScript while keeping the core bundle at 6.6 KB gzipped.

Why it matters: teams can standardize on a single select primitive that scales from onboarding forms to compliance dashboards without bespoke tuning.

Chapter 2 — System Architecture

• Rendering core — virtual scrolling with adaptive windowing, incremental hydration, and GPU-friendly transforms.
• Data plane — Fenwick tree + indexed buffers for O(log n) inserts/removals, worker-backed filtering and ranking.
• Customization — theming tokens, CSS shadow parts, slot-based templating, and per-framework bindings.
• Telemetry — built-in performance markers (performance.mark/measure), console timelines, and optional web worker profiling.
• Distribution — multi-package workspace (packages/*) with typed exports and dual ESM/CJS output.

Deep dives: ARCHITECTURE.md, docs/SELECT-IMPLEMENTATION.md, docs/ALGORITHMS.md.

Chapter 3 — Capabilities & Use Cases

Feature Matrix

Representative Workloads

• Enterprise CRUD — nested lookup fields with audit logging.
• Analytics consoles — filter builders with 50–200K items.
• Mobile admin tooling — low-latency multi-select with haptic-friendly controls.
• Compliance checklists — WCAG-driven experiences validated with NVDA + VoiceOver.

Chapter 4 — Performance & Analysis (Speed & Performance)

4.1 Methodology

• Hardware: MacBook Pro M3 / Intel i7 desktop, 32 GB RAM; Chrome 120, Firefox 121, Safari 17, Edge 120.
• Instrumentation: performance.mark/measure, Web Vitals, custom worker telemetry, memory snapshots via Chrome DevTools protocol, Playwright trace for regression.
• Datasets: synthetic (uniform + Zipf distributions) from 100 → 1,000,000 items, plus real catalog exports.
• Measurement cadence: cold start, warm start, sustained scroll, stress multi-select.

4.2 Results Summary

Dataset Size    │ First Paint │ Interactive │ Search (p95) │ Memory │ Scroll FPS
────────────────┼─────────────┼─────────────┼──────────────┼────────┼───────────
100 items       │ 7 ms        │ 9 ms        │ 3 ms          │ 2 MB   │ 60 FPS
1,000 items     │ 14 ms       │ 18 ms       │ 5 ms          │ 4 MB   │ 60 FPS
10,000 items    │ 38 ms       │ 42 ms       │ 9 ms          │ 8 MB   │ 60 FPS
100,000 items   │ 81 ms       │ 95 ms       │ 16 ms         │ 12 MB  │ 60 FPS
1,000,000 items │ 162 ms      │ 191 ms      │ 33 ms         │ 18 MB  │ 57–60 FPS

Budget guardrails: Components yellow-flag at 50 ms render or 20 ms search time, red-flag above 100 ms/50 ms respectively. CI profiles enforce these limits per commit via scripts/perf.js.

4.3 Comparative Analysis

4.4 Engineering Insights

• Speed — Work stealing between UI thread + worker prevents long tasks. Idle callbacks prefetch result sets before scroll arrives.
• Memory — ring buffers hold only visible nodes, releasing GC pressure even under multi-select tag chips.
• Observability — window.__SMILODON_PERF__ exposes counters for dashboards; see docs/PERFORMANCE.md for exporter schema.

4.5 Cross-Framework Competitive Benchmarking

Why Smilodon wins:

• Documented virtualization keeps DOM size constant (visible + buffer), so scroll cost is O(1) not O(n) — see docs/PERFORMANCE.md.
• Worker-backed search removes CPU spikes on large datasets; budgets enforced via scripts/perf.js traces checked into CI.
• Accessibility & CSP baked in: ARIA patterns, zero eval, shadow DOM isolation — contrasted with gaps in competing packages’ own docs.
• Bundle discipline: 6.6 KB gzipped core + ~787B adapters per framework vs 20–30 KB+ competitors, freeing main-thread and network budgets.

Chapter 5 — Framework Playbooks

Each playbook contains installation, configuration, and a realistic example showcasing search, multi-select, keyboard control, and async data.

5.1 React (hooks + refs)

npm install @smilodon/react

import { useMemo, useRef, useState } from 'react';
import { Select } from '@smilodon/react';

const products = Array.from({ length: 5000 }).map((_, i) => ({
  value: `product-${i}`,
  label: `Product ${i}`,
  tags: i % 2 ? ['hardware'] : ['software']
}));

export function ProductSelect() {
  const selectRef = useRef(null);
  const [selection, setSelection] = useState([]);
  const items = useMemo(() => products, []);

  return (
    <Select
      ref={selectRef}
      items={items}
      searchable
      multiSelect
      placeholder="Search 5K products"
      onSearch={(term) => console.log('debounced server query', term)}
      onChange={(selectedItems, values) => setSelection(values)}
      config={{
        selection: { mode: 'multi', showChips: true },
        keyboard: { loop: true, typeAhead: true },
        metrics: { enabled: true }
      }}
    />
  );
}

Highlights: supports Suspense/SSR, controlled mode via refs (selectRef.current.setSelectedValues), compatibility with React 18 concurrent rendering.

5.2 Vue (Composition API)

npm install @smilodon/vue

<template>
  <Select
    :items="cities"
    searchable
    multi-select
    placeholder="Filter cities"
    @search="handleSearch"
    @change="handleChange"
  />
</template>

<script setup lang="ts">
import { ref } from 'vue';
import { Select } from '@smilodon/vue';

const cities = ref([
  { value: 'nyc', label: 'New York City' },
  { value: 'ams', label: 'Amsterdam' },
  { value: 'tok', label: 'Tokyo' }
]);

const handleSearch = (term: string) => {
  // plug into Pinia/Query clients for server filtering
  console.log('search', term);
};

const handleChange = (_event, payload) => {
  console.log('values', payload.selectedValues);
};
</script>

5.3 Svelte (stores + reactivity)

npm install @smilodon/svelte

<script lang="ts">
  import Select from '@smilodon/svelte';
  import { writable } from 'svelte/store';

  const items = writable([]);
  const selected = writable([]);

  onMount(async () => {
    const response = await fetch('/api/countries');
    items.set(await response.json());
  });
</script>

<Select
  {items}
  bind:selectedValues={$selected}
  searchable
  multiSelect
  placeholder="Choose countries"
/>

5.4 Vanilla Web Components

npm install @smilodon/core

<enhanced-select id="people" placeholder="Search directory"></enhanced-select>
<script type="module">
  import '@smilodon/core';

  const select = document.getElementById('people');
  select.setItems(await (await fetch('/directory.json')).json());
  select.configure({ searchable: true, selection: { mode: 'multi' } });
  select.addEventListener('change', (event) => {
    console.log(event.detail.selectedItems);
  });
</script>

Visit docs/GETTING-STARTED.md for additional platform nuances, SSR guidance, and theming recipes.

Chapter 6 — Testing & Quality Gates

Run locally:

npm run test:unit
npm run test:e2e
npm run test:coverage
npm run perf

Reference documents: TESTING-GUIDE.md and tests/README.md.

Chapter 7 — Compliance, Security & Governance

• SOC 2 Type II documentation (193 controls) — see docs/compliance/SOC2-COMPLIANCE.md.
• WCAG 2.2 AA certification workstream — tracked in docs/compliance/WCAG-COMPLIANCE.md.
• Privacy — GDPR/CCPA compliant, zero PII by default, policies in docs/compliance/PRIVACY-POLICY.md.
• Supply chain — SBOM (sbom.json), SLSA-ready build steps, signed packages, CSP-friendly runtime.
• Threat model — STRIDE assessment + mitigations in docs/compliance/THREAT-MODEL.md.

Chapter 8 — Adoption, Tooling & Support

• Playground — /playground Vite workspace with React, Svelte, Vue demos plus performance overlays.
• Deployment — npm publish ready packages inside packages/* with semantic versioning.
• Community Channels
  • Email: navidrezadoost07@gmail.com
  • Discord: smilodon community
  • Issues: GitHub tracker
• Learning Path
  1. Read docs/GETTING-STARTED.md
  2. Explore playground/index.html
  3. Review docs/PERFORMANCE.md before production rollout
  4. Read docs/BENCHMARKS.md for transparent cross-library comparisons
  5. Embed telemetry hooks to feed your observability stack