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STEM & AI Researchers Arena Rank #40

Surya

VikParuchuri/surya · Author: @VikParuchuri

View on GitHub

Arena ELO

1331

±18

Total Stars

21.5k

+73.1% w/w

Monthly Traffic

510k/mo

0.6x vs median

Search Demand

92,000/mo

+158% YoY

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

12-Month Adoption & Star Velocity +73.1% w/w

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

Surya Category Median

GROWTH VELOCITY

+73.1%

2.9x vs category median

ARENA ELO SCORE

1331

+139 vs category median

WEB VISITS MOMENTUM

510k/mo

0.6x category median

LATENCY EFFICIENCY

16ms

2.4x faster execution

Ecosystem Adoption Thesis

Across verified open-source agentic tools, Surya holds a position in the top percentile for developer retention and production velocity. Its weekly surge rate of +73.1% signals sustained real-world adoption rather than speculative hype.

Why Teams & Autonomous Agents Choose Surya

OCR, layout analysis, and reading order detection supporting 90+ languages with sub-second page latency.

Verified Real-World Production Workflow

Primary Implementation:

Detect bounding boxes, columns, and reading sequence across complex non-Latin scripts and magazines.

Engine Stack & Dependencies:

Python, PyTorch vision transformers, CTC decoding.

Target Persona & Role Fit

Multilingual OCR Specialists

Engineered and benchmarked specifically for Multilingual OCR Specialists 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)

OCR, layout analysis, and reading order detection supporting 90+ languages with sub-second page latency.

Architecture: Python, PyTorch vision transformers, CTC decoding.

Domain Tags & Keywords

#multilingual-ocr#layout-analysis#reading-order#vision-ai

Compute Efficiency Profile

P95 EXECUTION LATENCY

16ms

2.4x faster than median

TOKEN EFFICIENCY SAVINGS

-96%

Measured via context pruning

HEAD-TO-HEAD WIN RATE

90%

Arena paired matches

Monthly Documentation & Site Visits

510k/mo

Measured via Traffic Research bypass engine (0.6x category median)

Google Search Keyword Demand

92,000/mo

+158% YoY expansion

6-Month Web Traffic Velocity

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

Surya 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.

1331

±18 CI

WIN RATE

90%

Head-to-head

WEEKLY SURGE

+73.1%

Adoption velocity

P95 LATENCY

16ms

Execution speed

TOKEN OVERHEAD

-96%

Context saved

Head-to-Head Comparison — Surya 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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