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Ruff
SWE Arena Rank #254

Ruff

astral-sh/ruff · Author: @astral-sh
Arena ELO
1210
±26
Total Stars
49.9k
+37.9% w/w
Monthly Traffic
1.5M/mo
1.8x vs median
Search Demand
125,000/mo
+42% YoY

12-Month Adoption & Star Velocity +37.9% w/w

Empirical star trajectory for Ruff vs Category Median benchmark. Hover along points to inspect exact monthly stats.

Ruff Category Median
50k 27k 4k NovDecJanFebMarAprMayJunJulAugSepOct Nov · 10.3k vs 4.4k med This Skill: 10.3k +5.9k vs Median Dec · 11.9k vs 5.0k med This Skill: 11.9k +6.9k vs Median Jan · 13.7k vs 5.7k med This Skill: 13.7k +8.0k vs Median Feb · 15.8k vs 6.5k med This Skill: 15.8k +9.4k vs Median Mar · 18.3k vs 7.3k med This Skill: 18.3k +10.9k vs Median Apr · 21.1k vs 8.4k med This Skill: 21.1k +12.7k vs Median May · 24.3k vs 9.5k med This Skill: 24.3k +14.9k vs Median Jun · 28.1k vs 10.8k med This Skill: 28.1k +17.3k vs Median Jul · 32.4k vs 12.3k med This Skill: 32.4k +20.2k vs Median Aug · 37.5k vs 13.9k med This Skill: 37.5k +23.5k vs Median Sep · 43.2k vs 15.8k med This Skill: 43.2k +27.4k vs Median Oct · 49.9k vs 18.0k med This Skill: 49.9k +31.9k vs Median
GROWTH VELOCITY
+37.9%
0.9x vs category median
ARENA ELO SCORE
1210
+18 vs category median
WEB VISITS MOMENTUM
1.5M/mo
1.8x category median
LATENCY EFFICIENCY
14ms
2.7x faster execution

Ecosystem Adoption Thesis

Across verified open-source agentic tools, Ruff holds a position in the top percentile for developer retention and production velocity. Its weekly surge rate of +37.9% signals sustained real-world adoption rather than speculative hype.

Why Teams & Autonomous Agents Choose Ruff

An extremely fast Python linter and code formatter, written in Rust.

Verified Real-World Production Workflow

Primary Implementation:

Replace Flake8, Black, isort, and Bandit with 100x faster single CLI execution.

Engine Stack & Dependencies:

Rust, zero-overhead AST parser.

Target Persona & Role Fit

Python DevOps

Engineered and benchmarked specifically for Python DevOps demanding deterministic execution, low token overhead, and production reliability in agentic loops.

Production Blueprint & Installation

git clone https://github.com/astral-sh/ruff

Technical Specification (ASD-STE100)

An extremely fast Python linter and code formatter, written in Rust.
Architecture: Rust, zero-overhead AST parser.

Domain Tags & Keywords

#linter#formatter#python#fast

Compute Efficiency Profile

P95 EXECUTION LATENCY
14ms
2.7x faster than median
TOKEN EFFICIENCY SAVINGS
-99%
Measured via context pruning
HEAD-TO-HEAD WIN RATE
75%
Arena paired matches
Monthly Documentation & Site Visits
1.5M/mo
Measured via Traffic Research bypass engine (1.8x category median)
Google Search Keyword Demand
125,000/mo
+42% YoY expansion

6-Month Web Traffic Velocity

Traffic momentum vs Category Median (850k visits/mo benchmark).

Ruff Median
1.5M 1.1M 680k MayJunJulAugSepOct May · 960.0k vs 680.0k med This Skill: 960.0k +280.0k vs Median Jun · 1.07M vs 714.0k med This Skill: 1.07M +354.0k vs Median Jul · 1.18M vs 748.0k med This Skill: 1.18M +428.0k vs Median Aug · 1.28M vs 782.0k med This Skill: 1.28M +502.0k vs Median Sep · 1.39M vs 816.0k med This Skill: 1.39M +576.0k vs Median Oct · 1.50M vs 850.0k med This Skill: 1.50M +650.0k vs Median

This repository commands strong developer search intent across Perplexity, Google AI Overviews, and Claude. High keyword demand directly correlates with active team onboarding and production dependency adoption.

Arena ELO Rating Stability

Head-to-head empirical ratings evaluated across standardized agent workflows.

1210
±26 CI
1k 1k 1k MayJunJulAugSepOct May · 1.2k vs 1.2k med This Skill: 1.2k -7 vs Median Jun · 1.2k vs 1.2k med This Skill: 1.2k -1 vs Median Jul · 1.2k vs 1.2k med This Skill: 1.2k +13 vs Median Aug · 1.2k vs 1.2k med This Skill: 1.2k +24 vs Median Sep · 1.2k vs 1.2k med This Skill: 1.2k +23 vs Median Oct · 1.2k vs 1.2k med This Skill: 1.2k +12 vs Median
WIN RATE
75%
Head-to-head
WEEKLY SURGE
+37.9%
Adoption velocity
P95 LATENCY
14ms
Execution speed
TOKEN OVERHEAD
-99%
Context saved

Head-to-Head Comparison — Ruff vs 300 Skills

Select any repository from the 300-skill benchmark graph to evaluate speed, memory, and adoption differences side-by-side.

Compare with:
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