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uv
SWE Arena Rank #203

uv

astral-sh/uv · Author: @astral-sh
Arena ELO
1251
±23
Total Stars
90.5k
+116.4% w/w
Monthly Traffic
1.8M/mo
2.1x vs median
Search Demand
110,000/mo
+90% YoY

12-Month Adoption & Star Velocity +116.4% w/w

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

uv Category Median
90k 47k 4k NovDecJanFebMarAprMayJunJulAugSepOct Nov · 6.1k vs 4.4k med This Skill: 6.1k +1.7k vs Median Dec · 7.8k vs 5.0k med This Skill: 7.8k +2.8k vs Median Jan · 10.0k vs 5.7k med This Skill: 10.0k +4.3k vs Median Feb · 12.8k vs 6.5k med This Skill: 12.8k +6.3k vs Median Mar · 16.3k vs 7.3k med This Skill: 16.3k +8.9k vs Median Apr · 20.8k vs 8.4k med This Skill: 20.8k +12.5k vs Median May · 26.6k vs 9.5k med This Skill: 26.6k +17.1k vs Median Jun · 34.0k vs 10.8k med This Skill: 34.0k +23.2k vs Median Jul · 43.4k vs 12.3k med This Skill: 43.4k +31.1k vs Median Aug · 55.4k vs 13.9k med This Skill: 55.4k +41.5k vs Median Sep · 70.8k vs 15.8k med This Skill: 70.8k +55.0k vs Median Oct · 90.5k vs 18.0k med This Skill: 90.5k +72.5k vs Median
GROWTH VELOCITY
+116.4%
1.6x vs category median
ARENA ELO SCORE
1251
+59 vs category median
WEB VISITS MOMENTUM
1.8M/mo
2.1x category median
LATENCY EFFICIENCY
12ms
3.2x faster execution

Ecosystem Adoption Thesis

Across verified open-source agentic tools, uv holds a position in the top percentile for developer retention and production velocity. Its weekly surge rate of +116.4% signals sustained real-world adoption rather than speculative hype.

Why Teams & Autonomous Agents Choose uv

An extremely fast Python package and project manager, written in Rust.

Verified Real-World Production Workflow

Primary Implementation:

Install complex agent dependencies and setup virtual environments in 50ms.

Engine Stack & Dependencies:

Rust, PubGrub resolution algorithm.

Target Persona & Role Fit

Python Environment Engineers

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

Production Blueprint & Installation

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

Technical Specification (ASD-STE100)

An extremely fast Python package and project manager, written in Rust.
Architecture: Rust, PubGrub resolution algorithm.

Domain Tags & Keywords

#package-manager#pip-alt#virtualenv

Compute Efficiency Profile

P95 EXECUTION LATENCY
12ms
3.2x faster than median
TOKEN EFFICIENCY SAVINGS
-99%
Measured via context pruning
HEAD-TO-HEAD WIN RATE
80%
Arena paired matches
Monthly Documentation & Site Visits
1.8M/mo
Measured via Traffic Research bypass engine (2.1x category median)
Google Search Keyword Demand
110,000/mo
+90% YoY expansion

6-Month Web Traffic Velocity

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

uv Median
1.8M 1.2M 639k MayJunJulAugSepOct May · 639.0k vs 680.0k med This Skill: 639.0k -41.0k vs Median Jun · 871.2k vs 714.0k med This Skill: 871.2k +157.2k vs Median Jul · 1.10M vs 748.0k med This Skill: 1.10M +355.4k vs Median Aug · 1.34M vs 782.0k med This Skill: 1.34M +553.6k vs Median Sep · 1.57M vs 816.0k med This Skill: 1.57M +751.8k vs Median Oct · 1.80M vs 850.0k med This Skill: 1.80M +950.0k 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.

1251
±23 CI
1k 1k 1k MayJunJulAugSepOct May · 1.2k vs 1.2k med This Skill: 1.2k +34 vs Median Jun · 1.2k vs 1.2k med This Skill: 1.2k +40 vs Median Jul · 1.2k vs 1.2k med This Skill: 1.2k +54 vs Median Aug · 1.3k vs 1.2k med This Skill: 1.3k +65 vs Median Sep · 1.3k vs 1.2k med This Skill: 1.3k +64 vs Median Oct · 1.3k vs 1.2k med This Skill: 1.3k +53 vs Median
WIN RATE
80%
Head-to-head
WEEKLY SURGE
+116.4%
Adoption velocity
P95 LATENCY
12ms
Execution speed
TOKEN OVERHEAD
-99%
Context saved

Head-to-Head Comparison — uv 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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