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ripgrep
SWE Arena Rank #16

ripgrep

BurntSushi/ripgrep · Author: @BurntSushi
Arena ELO
1356
±18
Total Stars
68.9k
+118.1% w/w
Monthly Traffic
1051k/mo
1.2x vs median
Search Demand
82,000/mo
+190% YoY

12-Month Adoption & Star Velocity +118.1% w/w

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

ripgrep Category Median
69k 35k 596 NovDecJanFebMarAprMayJunJulAugSepOct Nov · 596 vs 4.4k med This Skill: 596 -3.8k vs Median Dec · 918 vs 5.0k med This Skill: 918 -4.1k vs Median Jan · 1.4k vs 5.7k med This Skill: 1.4k -4.3k vs Median Feb · 2.2k vs 6.5k med This Skill: 2.2k -4.3k vs Median Mar · 3.4k vs 7.3k med This Skill: 3.4k -4.0k vs Median Apr · 5.2k vs 8.4k med This Skill: 5.2k -3.2k vs Median May · 8.0k vs 9.5k med This Skill: 8.0k -1.5k vs Median Jun · 12.2k vs 10.8k med This Skill: 12.2k +1.5k vs Median Jul · 18.9k vs 12.3k med This Skill: 18.9k +6.6k vs Median Aug · 29.0k vs 13.9k med This Skill: 29.0k +15.1k vs Median Sep · 44.7k vs 15.8k med This Skill: 44.7k +28.9k vs Median Oct · 68.9k vs 18.0k med This Skill: 68.9k +50.9k vs Median
GROWTH VELOCITY
+118.1%
3.5x vs category median
ARENA ELO SCORE
1356
+164 vs category median
WEB VISITS MOMENTUM
1051k/mo
1.2x category median
LATENCY EFFICIENCY
18ms
4.2x faster execution

Ecosystem Adoption Thesis

Across verified open-source agentic tools, ripgrep holds a position in the top percentile for developer retention and production velocity. Its weekly surge rate of +118.1% signals sustained real-world adoption rather than speculative hype.

Why Teams & Autonomous Agents Choose ripgrep

High-impact open-source tool empowering regex pattern search specialists with ultra-fast performance.

Verified Real-World Production Workflow

Primary Implementation:

Adopted across elite engineering organizations for mission-critical fast-regex infrastructure.

Engine Stack & Dependencies:

Engineered for zero-overhead execution with native memory safety and deterministic guarantees.

Target Persona & Role Fit

Regex Pattern Search Specialists

Engineered and benchmarked specifically for Regex Pattern Search Specialists demanding deterministic execution, low token overhead, and production reliability in agentic loops.

Production Blueprint & Installation

git clone https://github.com/BurntSushi/ripgrep

Technical Specification (ASD-STE100)

High-impact open-source tool empowering regex pattern search specialists with ultra-fast performance.
Architecture: Engineered for zero-overhead execution with native memory safety and deterministic guarantees.

Domain Tags & Keywords

#fast-regex#rust-cli#codebase-search#ripgrep

Compute Efficiency Profile

P95 EXECUTION LATENCY
18ms
4.2x faster than median
TOKEN EFFICIENCY SAVINGS
-98%
Measured via context pruning
HEAD-TO-HEAD WIN RATE
94%
Arena paired matches
Monthly Documentation & Site Visits
1051k/mo
Measured via Traffic Research bypass engine (1.2x category median)
Google Search Keyword Demand
82,000/mo
+190% YoY expansion

6-Month Web Traffic Velocity

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

ripgrep Median
1.1M 605k 158k MayJunJulAugSepOct May · 157.7k vs 680.0k med This Skill: 157.7k -522.3k vs Median Jun · 157.7k vs 714.0k med This Skill: 157.7k -556.3k vs Median Jul · 157.7k vs 748.0k med This Skill: 157.7k -590.3k vs Median Aug · 452.1k vs 782.0k med This Skill: 452.1k -329.9k vs Median Sep · 751.8k vs 816.0k med This Skill: 751.8k -64.2k vs Median Oct · 1.05M vs 850.0k med This Skill: 1.05M +201.5k 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.

1356
±18 CI
1k 1k 1k MayJunJulAugSepOct May · 1.3k vs 1.2k med This Skill: 1.3k +139 vs Median Jun · 1.3k vs 1.2k med This Skill: 1.3k +145 vs Median Jul · 1.3k vs 1.2k med This Skill: 1.3k +159 vs Median Aug · 1.4k vs 1.2k med This Skill: 1.4k +170 vs Median Sep · 1.4k vs 1.2k med This Skill: 1.4k +169 vs Median Oct · 1.4k vs 1.2k med This Skill: 1.4k +158 vs Median
WIN RATE
94%
Head-to-head
WEEKLY SURGE
+118.1%
Adoption velocity
P95 LATENCY
18ms
Execution speed
TOKEN OVERHEAD
-98%
Context saved

Head-to-Head Comparison — ripgrep vs 300 Skills

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

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