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Pyright
SWE Arena Rank #291

Pyright

microsoft/pyright · Author: @microsoft
Arena ELO
1145
±21
Total Stars
15.7k
+10.4% w/w
Monthly Traffic
1.1M/mo
1.3x vs median
Search Demand
92,000/mo
+14% YoY

12-Month Adoption & Star Velocity +10.4% w/w

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

Pyright Category Median
18k 11k 4k NovDecJanFebMarAprMayJunJulAugSepOct Nov · 7.4k vs 4.4k med This Skill: 7.4k +2.9k vs Median Dec · 7.9k vs 5.0k med This Skill: 7.9k +2.9k vs Median Jan · 8.4k vs 5.7k med This Skill: 8.4k +2.7k vs Median Feb · 9.0k vs 6.5k med This Skill: 9.0k +2.6k vs Median Mar · 9.7k vs 7.3k med This Skill: 9.7k +2.3k vs Median Apr · 10.4k vs 8.4k med This Skill: 10.4k +2.0k vs Median May · 11.1k vs 9.5k med This Skill: 11.1k +1.6k vs Median Jun · 11.9k vs 10.8k med This Skill: 11.9k +1.1k vs Median Jul · 12.8k vs 12.3k med This Skill: 12.8k +492 vs Median Aug · 13.7k vs 13.9k med This Skill: 13.7k -273 vs Median Sep · 14.6k vs 15.8k med This Skill: 14.6k -1.2k vs Median Oct · 15.7k vs 18.0k med This Skill: 15.7k -2.3k vs Median
GROWTH VELOCITY
+10.4%
0.4x vs category median
ARENA ELO SCORE
1145
-47 vs category median
WEB VISITS MOMENTUM
1.1M/mo
1.3x category median
LATENCY EFFICIENCY
20ms
1.9x faster execution

Ecosystem Adoption Thesis

Across verified open-source agentic tools, Pyright holds a position in the top percentile for developer retention and production velocity. Its weekly surge rate of +10.4% signals sustained real-world adoption rather than speculative hype.

Why Teams & Autonomous Agents Choose Pyright

Fast type checker for Python designed for large codebases and agentic tooling.

Verified Real-World Production Workflow

Primary Implementation:

Verify agent-generated Python code types statically before test runs.

Engine Stack & Dependencies:

TypeScript, Node.js, static type inference.

Target Persona & Role Fit

Python Architects

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

Production Blueprint & Installation

git clone https://github.com/microsoft/pyright

Technical Specification (ASD-STE100)

Fast type checker for Python designed for large codebases and agentic tooling.
Architecture: TypeScript, Node.js, static type inference.

Domain Tags & Keywords

#python-types#static-analysis#type-checker

Compute Efficiency Profile

P95 EXECUTION LATENCY
20ms
1.9x faster than median
TOKEN EFFICIENCY SAVINGS
-98%
Measured via context pruning
HEAD-TO-HEAD WIN RATE
65%
Arena paired matches
Monthly Documentation & Site Visits
1.1M/mo
Measured via Traffic Research bypass engine (1.3x category median)
Google Search Keyword Demand
92,000/mo
+14% YoY expansion

6-Month Web Traffic Velocity

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

Pyright Median
1.1M 890k 680k MayJunJulAugSepOct May · 918.5k vs 680.0k med This Skill: 918.5k +238.5k vs Median Jun · 954.8k vs 714.0k med This Skill: 954.8k +240.8k vs Median Jul · 991.1k vs 748.0k med This Skill: 991.1k +243.1k vs Median Aug · 1.03M vs 782.0k med This Skill: 1.03M +245.4k vs Median Sep · 1.06M vs 816.0k med This Skill: 1.06M +247.7k vs Median Oct · 1.10M vs 850.0k med This Skill: 1.10M +250.0k 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.

1145
±21 CI
1k 1k 1k MayJunJulAugSepOct May · 1.1k vs 1.2k med This Skill: 1.1k -72 vs Median Jun · 1.1k vs 1.2k med This Skill: 1.1k -66 vs Median Jul · 1.1k vs 1.2k med This Skill: 1.1k -52 vs Median Aug · 1.1k vs 1.2k med This Skill: 1.1k -41 vs Median Sep · 1.2k vs 1.2k med This Skill: 1.2k -42 vs Median Oct · 1.1k vs 1.2k med This Skill: 1.1k -53 vs Median
WIN RATE
65%
Head-to-head
WEEKLY SURGE
+10.4%
Adoption velocity
P95 LATENCY
20ms
Execution speed
TOKEN OVERHEAD
-98%
Context saved

Head-to-Head Comparison — Pyright 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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