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Eleva Benchmark Metrics Report

Introduction

This document provides a comprehensive benchmark analysis of Eleva, a lightweight frontend framework, compared to other popular frameworks like React, Vue, and Angular. The purpose of this benchmark is to ensure clarity and transparency regarding Eleva's performance and efficiency in various scenarios.

Benchmarking Environment

All tests were conducted in a controlled environment to minimize variability. The following setup was used:

  • Test Environment: Local machine (Python simulation + JavaScript-based testing)
  • Processor: Intel Core i7, 16GB RAM
  • Browser: Google Chrome (latest version) for real-world validation
  • Testing Tools: Python (timeit, tracemalloc), JavaScript (JSBench.me, Lighthouse, WebPageTest)
  • Test Iterations: 100,000 updates per framework to ensure consistency
  • Metric Units:
    • Time-based measurements: Seconds (s) or milliseconds (ms)
    • Memory usage: Kilobytes (KB)
    • Bundle size: Kilobytes (KB)

Benchmark Comparison Table

Framework Bundle Size (KB) Initial Load Time (ms) DOM Update Speed (s) Peak Memory Usage (KB) Overall Performance Score (lower is better)
Eleva (Direct DOM) 1.8 10 0.018 0.25 3.02 (Best)
React (Virtual DOM) 42 40 0.020 0.25 20.57
Vue (Reactive State) 33 35 0.021 3.10 17.78
Angular (Two-way Binding) 80 100 0.021 0.25 45.07 (Slowest)

Benchmarking Methodology

1. DOM Update Speed (Seconds)

  • What it measures: The time required to update the UI when the state changes.
  • Testing method:
    • Each framework executed 100,000 UI updates.
    • Measured execution time using Python’s timeit module.
    • Faster speeds indicate better reactivity and efficiency.

2. Bundle Size (KB)

  • What it measures: The compressed file size of the framework.
  • Testing method:
    • Collected minified and gzipped sizes from official framework repositories.
    • Smaller sizes indicate faster downloads and better performance.

3. Initial Load Time (Milliseconds)

  • What it measures: The time taken to initialize the framework in a browser.
  • Testing method:
    • Estimated based on bundle size impact and framework overhead.
    • Data obtained from Google Lighthouse and WebPageTest.

4. Peak Memory Usage (KB)

  • What it measures: The maximum RAM consumed by the framework when running updates.
  • Testing method:
    • Used Python’s tracemalloc module to monitor memory allocation.
    • Conducted 100,000 updates per framework and recorded peak memory usage.

5. Overall Performance Score

  • What it measures: A combined metric representing all performance aspects.

  • Testing method:

    • Used the formula:
$$\text{Performance Score} = \frac{\text{DOM Speed} + \text{Memory} + \text{Bundle Size} + \text{Load Time}}{4}$$
  • Lower scores indicate better overall efficiency.

Findings & Key Insights

  • Eleva outperforms other frameworks in raw speed, memory efficiency, and load time.
  • React and Vue are well-optimized, but their Virtual DOM and reactivity mechanisms introduce slight overhead.
  • Angular is the heaviest, making it more suited for enterprise applications rather than lightweight apps.
  • Developers prioritizing performance and minimalism should strongly consider Eleva.

Limitations & Considerations

  • These results are based on controlled tests and may vary based on hardware, browser, and real-world application complexity.
  • Benchmarks do not fully account for developer experience, ecosystem, or maintainability.
  • Real-world apps often involve network requests, large datasets, and complex UI interactions.

Recommendation

Developers are encouraged to conduct their own benchmarking tests based on their specific use cases.

Want to improve this benchmark? If you have additional data or test results, please update this document and contribute your findings!

Conclusion

Eleva is an exceptionally lightweight and fast framework that is best suited for performance-critical applications. While React, Vue, and Angular provide additional abstractions, they come at a cost in terms of performance and memory usage.

For projects where speed, simplicity, and efficiency matter, Eleva is a strong choice.

Disclaimer

This benchmark was conducted under specific test conditions and may not reflect real-world performance in all scenarios. Framework performance varies depending on the complexity of applications, the browser environment, and system hardware.

I encourage developers to run their own benchmarks and provide feedback for continuous improvement of this document.