JairajJangle
fast-is-equal
⚡️Blazing-fast equality checks, minus the baggage. A lean, standalone alternative to Lodash's isEqual - because speed matters.
Why fast-is-equal?
- 🚀 Lightning Speed: Up to 55.84x faster than Lodash's
isEqual(average 11.73x faster across 49 test cases). - 🪶 Lightweight: Dependency-free, minimal footprint.
- 🔄 Versatile: Handles primitives, objects, arrays, Maps, Sets, typed arrays, circular references, and more.
- 🏆 Proven: Outperforms Lodash in 93.9% of benchmark cases.
Installation
Using yarn:
yarn add fast-is-equalUsing npm:
npm install fast-is-equalUsage
import { fastIsEqual } from 'fast-is-equal';
console.log(fastIsEqual(1, 1)); // true
console.log(fastIsEqual({ a: 1 }, { a: 1 })); // true
console.log(fastIsEqual([1, 2], [1, 3])); // falsePerformance Benchmarks
fast-is-equal was tested against Lodash's isEqual across 49 diverse test cases with 1,000,000 iterations each. The results speak for themselves:
Key Highlights
- Average Speed:
fastIsEqualis 11.73x faster (0.000172 ms vs. 0.002013 ms). - Win Rate: Outperforms Lodash in 46/49 cases (93.9%).
- Peak Performance: Up to 55.84x faster for large Sets.
Top 10 Performance Gains
| Test Case | fastIsEqual (ms) | Lodash isEqual (ms) | Speed Boost |
|---|---|---|---|
| Large Set (100 items) | 0.000673 | 0.037564 | 55.84x 🚀 |
| Map vs Set | 0.000018 | 0.000485 | 26.52x 🚀 |
| Large Map (50 entries) | 0.001059 | 0.025756 | 24.32x 🚀 |
| Map with primitives | 0.000092 | 0.001487 | 16.09x 🚀 |
| Map (unequal) | 0.000092 | 0.001406 | 15.29x 🚀 |
| Large TypedArray (1000) | 0.000944 | 0.013165 | 13.95x 🚀 |
| ArrayBuffer (small) | 0.000092 | 0.001263 | 13.74x 🚀 |
| Empty Set | 0.000058 | 0.000691 | 11.96x 🚀 |
| Empty Map | 0.000058 | 0.000684 | 11.84x 🚀 |
| Set of strings | 0.000082 | 0.000940 | 11.51x 🚀 |
Performance Across Categories
- Primitives: Competitive performance with smart optimizations for edge cases like NaN
- Objects: 1.59x–2.87x faster, with best gains on simple and nested structures
- Arrays: 1.24x–4.38x faster, excelling at primitive arrays and sparse arrays
- TypedArrays: 11.30x–13.95x faster, dramatically outperforming on all variants
- Special Objects: 8.63x–10.25x faster for Dates and RegExp
- Collections: 10.84x–55.84x faster for Maps and Sets, with exceptional gains on large collections
- Circular References: 3.04x–3.72x faster with optimized cycle detection
Detailed Benchmark Results
Run yarn benchmark or npm run benchmark to test locally. Full results available in benchmarks/results.txt.
Edge Cases Where Lodash Wins
Only 3 cases where Lodash marginally outperforms (by less than 5%):
- String vs Number: 0.95x slower
- Large Numbers: 0.99x slower
- Boolean vs Number: 0.99x slower
These represent cross-type comparisons with negligible real-world impact.
Features
- Dependency-Free: No bloat, just performance.
- Comprehensive: Supports all JavaScript types, including edge cases like circular references and typed arrays.
- Optimized: Fine-tuned for real-world use cases (e.g., API responses, state objects).
License
MIT
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