An optimizing compiler for React that makes components up to 70% faster by skipping virtual DOM diffing.
Million.js is an optimizing compiler for React that dramatically improves component performance. It speeds up React's reconciliation process by using an optimized virtual DOM and compiler techniques to skip unnecessary diffing, directly updating the DOM when state changes. This can make React components up to 70% faster while maintaining full compatibility.
React developers building performance-sensitive applications who want to speed up their components without rewriting their codebase. It's ideal for projects where virtual DOM overhead is a bottleneck.
Developers choose Million.js because it offers significant performance gains with minimal integration effort, working alongside React rather than replacing it. Its unique selling point is turning React's O(n) reconciliation into O(1) updates through compiler optimizations.
Optimizing compiler for React
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.
Reduces React's reconciliation from O(n) to O(1), with benchmarks showing up to 70% faster updates, as cited in the JS Framework Benchmark.
The CLI installs and configures automatically, allowing existing React codebases to benefit without major rewrites, as highlighted in the installation guide.
Uses a lightweight, fine-tuned virtual DOM that directly updates DOM nodes, skipping unnecessary diffing steps for efficient updates.
Works alongside React, maintaining support for hooks, context, and other core features without breaking changes, as emphasized in the documentation.
Adds a compiler step that can conflict with existing toolchains and increase debugging difficulty, especially for projects with custom configurations.
As a newer project, it lacks the extensive community support, plugins, and long-term stability of more established alternatives like Preact or Solid.
May not fully support all React APIs or experimental features, requiring careful testing and validation in advanced use cases.