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Talks - Charlie Marsh: Ruff: An Extremely Fast Python Linter and Code Formatter, Written in Rust
Learn how Ruff, a Python linter written in Rust, achieves extreme performance through optimizations, data-driven development, and key architectural decisions.
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Ruff is an extremely fast Python linter and code formatter written in Rust, processing Python code significantly faster than traditional tools
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Performance improvements came from multiple optimizations:
- Using byte offsets instead of row/column indexing
- Small integer optimizations to avoid heap allocations
- Avoiding regular expressions for common operations
- Parallel processing of files
- Single-pass analysis versus multiple tool passes
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Key architectural decisions:
- Hand-written parser instead of generated parser for better control
- Stack vs heap memory usage optimization
- SIMD and data parallelism
- Common intermediate representation for all rules
- Focus on avoiding unnecessary allocations
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Data-driven approach to optimization:
- Continuous benchmarking on real codebases
- Profiling to identify bottlenecks
- Making optimization decisions based on measured data
- Testing against large real-world projects
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Success metrics:
- Over 18 million downloads per month
- Used by major Python projects like FastAPI, Pandas, SciPy
- 2x performance improvement over the past year
- Half a million VS Code extension installs
- 27,000+ GitHub stars
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Key principles:
- Performance as a first-class concern
- Data-driven decision making
- Balance between optimization and maintainability
- Investment in tooling and benchmarking
- Focus on end-user experience over pure performance gains