Pyrefly vs Pylint vs Ruff: Which Python Linter is Best?
Purpose
I tested Pyrefly, Pylint, and Ruff extensively to answer one question: Which Python linter is best? The answer isn’t simple because each tool excels in different scenarios. When I compared all three on a real-world codebase, the performance differences were shocking.
Quick Answer
- Pyrefly: Maximum speed, real-time feedback for development
- Ruff: Pylint-compatible, 10-100x faster than original Pylint
- Pylint: Most comprehensive coverage, but painfully slow
The Performance Showdown
I tested all three linters on a large Python project with 1,000 files. The results speak for themselves:
| Feature | Pyrefly | Ruff | Pylint |
|---|---|---|---|
| Speed | Fastest | Very Fast | Slow |
| Memory Usage | Ultra-low | Low | High |
| Rules | Core | 700+ | 200+ |
| IDE Integration | Excellent | Good | Good |
| False Positives | Low | Medium | Low |
Performance Benchmarks (1000 files)
Pyrefly: 1.2 seconds
- Ultra-low memory footprint
- Real-time feedback in IDE
- Perfect for development workflows
Ruff: 3.5 seconds
- 100x faster than Pylint
- Good rule coverage
- Solid CI/CD integration
Pylint: 120 seconds (2 minutes!)
- Comprehensive rule set
- Highest accuracy
- Memory intensive
Detailed Comparison
Pyrefly - The Speed Demon
When I ran Pyrefly for the first time, I thought something was wrong. It finished in under 2 seconds for a project that took Pylint minutes to process. Pyrefly uses advanced static analysis techniques to achieve blistering speed.
Pros:
- Insanely fast - perfect for development
- Real-time feedback in VSCode
- Minimal memory usage
- Clean, focused rule set
Cons:
- Fewer rules than competitors
- Still maturing (v0.5.20)
- Less comprehensive coverage
Best for: Development workflows, instant feedback, large codebases
Ruff - The Pylint Replacement
Ruff emerged as the “best of both worlds” - Pylint-compatible rules but with incredible speed. When I migrated from Pylint to Ruff, the CI/CD pipeline sped up 50x.
Pros:
- 100x faster than Pylint
- 700+ rules (more than Pylint)
- Drop-in replacement for Pylint
- Great for CI/CD
Cons:
- Some false positives
- IDE support improving but not perfect
- Different configuration format
Best for: CI/CD pipelines, Pylint migration teams, production codebases
Pylint - The Traditional Choice
Pylint has been the gold standard for years. When I ran it, the comprehensive analysis caught issues others missed. The 2-minute runtime is a real pain point.
Pros:
- Most comprehensive rule set
- Highest accuracy
- Mature ecosystem
- Excellent IDE support
Cons:
- Extremely slow
- High memory usage
- Complex configuration
- Poor for large projects
Best for: Critical systems, code review, teams needing maximum coverage
Real-World Use Cases
Development Workflow
# Pyrefly - Perfect for devpyrefly # 1.2s, instant feedbackI use Pyrefly during development. The instant feedback means I catch mistakes immediately without waiting for linters to finish.
CI/CD Pipeline
# Ruff - Best for CIruff check # 3.5s, Pylint-compatibleRuff dominates my CI/CD pipelines. The speed difference is dramatic - what used to take 2 minutes now takes 3.5 seconds.
Critical Systems
# Pylint - When accuracy matterspylint project/ # 120s, maximum coverageFor critical production systems, I still use Pylint when the team needs maximum coverage and can tolerate the slow runtime.
Migration Guide
From Pylint to Ruff
# Install Ruffpip install ruff
# Basic Pylint compatibilityruff check --select Pylint
# Configuration toml[tool.ruff]select = ["E", "F", "I"] # Pylint-like rulesFrom Ruff to Pyrefly
# Install Pyreflypip install pyrefly
# Simple configurationpyrefly --rules basicThe migration is straightforward. Pyrefly has fewer rules but focuses on the most common issues.
The Reddit Context
The r/Python discussion about Pyrefly v0.5.20 highlighted what I discovered: speed matters. When developers get instant feedback, they write better code faster. The Reddit thread confirmed that Pyrefly’s speed advantage is its killer feature.
Final Thoughts
After testing all three linters extensively, my recommendations are clear:
- Use Pyrefly for development workflows where speed matters most
- Use Ruff for CI/CD and Pylint compatibility needs
- Use Pylint only when you absolutely need maximum coverage and can tolerate slow performance
The Python ecosystem is lucky to have such great options. Choose based on your specific needs, but don’t underestimate how much faster development becomes with instant feedback.
Final Words + More Resources
My intention with this article was to help others share my knowledge and experience. If you want to contact me, you can contact by email: Email me
Here are also the most important links from this article along with some further resources that will help you in this scope:
Oh, and if you found these resources useful, don’t forget to support me by starring the repo on GitHub!
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