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STEM & AI Researchers Arena Rank #69

Surya Document Engine

VikParuchuri/surya · Author: @VikParuchuri

View on GitHub

Arena ELO

1322

±18

Total Stars

21.5k

+24.1% w/w

Monthly Traffic

602k/mo

0.7x vs median

Search Demand

145,000/mo

+144% YoY

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

12-Month Adoption & Star Velocity +24.1% w/w

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

Surya Document Engine Category Median

GROWTH VELOCITY

+24.1%

2.6x vs category median

ARENA ELO SCORE

1322

+130 vs category median

WEB VISITS MOMENTUM

602k/mo

0.7x category median

LATENCY EFFICIENCY

21ms

3.8x faster execution

Ecosystem Adoption Thesis

Across verified open-source agentic tools, Surya Document Engine holds a position in the top percentile for developer retention and production velocity. Its weekly surge rate of +24.1% signals sustained real-world adoption rather than speculative hype.

Why Teams & Autonomous Agents Choose Surya Document Engine

High-impact open-source repository empowering ocr layout analysis leads with production capabilities.

Verified Real-World Production Workflow

Primary Implementation:

Used by modern agentic teams to scale layout-parser infrastructure with verified provenance.

Engine Stack & Dependencies:

High-efficiency native pipeline with verifiable benchmark proofs and automated CI.

Target Persona & Role Fit

OCR Layout Analysis Leads

Engineered and benchmarked specifically for OCR Layout Analysis Leads demanding deterministic execution, low token overhead, and production reliability in agentic loops.

Production Blueprint & Installation

git clone https://github.com/VikParuchuri/surya

Technical Specification (ASD-STE100)

High-impact open-source repository empowering ocr layout analysis leads with production capabilities.

Architecture: High-efficiency native pipeline with verifiable benchmark proofs and automated CI.

Domain Tags & Keywords

#layout-parser#ocr-detection#reading-order#multilingual

Compute Efficiency Profile

P95 EXECUTION LATENCY

21ms

3.8x faster than median

TOKEN EFFICIENCY SAVINGS

-94%

Measured via context pruning

HEAD-TO-HEAD WIN RATE

89%

Arena paired matches

Monthly Documentation & Site Visits

602k/mo

Measured via Traffic Research bypass engine (0.7x category median)

Google Search Keyword Demand

145,000/mo

+144% YoY expansion

6-Month Web Traffic Velocity

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

Surya Document Engine 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.

1322

±18 CI

WIN RATE

89%

Head-to-head

WEEKLY SURGE

+24.1%

Adoption velocity

P95 LATENCY

21ms

Execution speed

TOKEN OVERHEAD

-94%

Context saved

Head-to-Head Comparison — Surya Document Engine 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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