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SWE Arena Rank #259

SWE-bench

swe-bench/SWE-bench · Author: @swe-bench

View on GitHub

Arena ELO

1147

±22

Total Stars

6.0k

+4.5% w/w

Monthly Traffic

450k/mo

0.5x vs median

Search Demand

42,000/mo

+38% YoY

Adoption & Growth Why & Use Cases Architecture & Stack Web Traffic & Demand Benchmarks & ELO Compare Head-to-Head

12-Month Adoption & Star Velocity +4.5% w/w

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

SWE-bench Category Median

GROWTH VELOCITY

+4.5%

0.8x vs category median

ARENA ELO SCORE

1147

-45 vs category median

WEB VISITS MOMENTUM

450k/mo

0.5x category median

LATENCY EFFICIENCY

60ms

0.6x faster execution

Ecosystem Adoption Thesis

Across verified open-source agentic tools, SWE-bench holds a position in the top percentile for developer retention and production velocity. Its weekly surge rate of +4.5% signals sustained real-world adoption rather than speculative hype.

Why Teams & Autonomous Agents Choose SWE-bench

The gold standard evaluation benchmark testing AI systems on resolving end-to-end software engineering problems from real GitHub repos.

Verified Real-World Production Workflow

Primary Implementation:

Evaluate whether your custom agent prompts actually fix complex Python bugs or introduce hidden regressions.

Engine Stack & Dependencies:

Docker evaluation harness, PyTest, Git patch validator.

Target Persona & Role Fit

AI Evaluation Engineers

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

Production Blueprint & Installation

git clone https://github.com/swe-bench/SWE-bench

Technical Specification (ASD-STE100)

The gold standard evaluation benchmark testing AI systems on resolving end-to-end software engineering problems from real GitHub repos.

Architecture: Docker evaluation harness, PyTest, Git patch validator.

Domain Tags & Keywords

#evaluation#benchmark#swe-gold-standard#accuracy

Compute Efficiency Profile

P95 EXECUTION LATENCY

60ms

0.6x faster than median

TOKEN EFFICIENCY SAVINGS

-94%

Measured via context pruning

HEAD-TO-HEAD WIN RATE

66%

Arena paired matches

Monthly Documentation & Site Visits

450k/mo

Measured via Traffic Research bypass engine (0.5x category median)

Google Search Keyword Demand

42,000/mo

+38% YoY expansion

6-Month Web Traffic Velocity

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

SWE-bench 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.

1147

±22 CI

WIN RATE

66%

Head-to-head

WEEKLY SURGE

+4.5%

Adoption velocity

P95 LATENCY

60ms

Execution speed

TOKEN OVERHEAD

-94%

Context saved

Head-to-Head Comparison — SWE-bench 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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