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SWE Arena Rank #110

Unstructured

Unstructured-IO/unstructured · Author: @Unstructured-IO

View on GitHub

Arena ELO

1307

±18

Total Stars

15.5k

+43.8% w/w

Monthly Traffic

890k/mo

1.0x vs median

Search Demand

150,000/mo

+124% YoY

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

12-Month Adoption & Star Velocity +43.8% w/w

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

Unstructured Category Median

GROWTH VELOCITY

+43.8%

2.3x vs category median

ARENA ELO SCORE

1307

+115 vs category median

WEB VISITS MOMENTUM

890k/mo

1.0x category median

LATENCY EFFICIENCY

22ms

1.7x faster execution

Ecosystem Adoption Thesis

Across verified open-source agentic tools, Unstructured holds a position in the top percentile for developer retention and production velocity. Its weekly surge rate of +43.8% signals sustained real-world adoption rather than speculative hype.

Why Teams & Autonomous Agents Choose Unstructured

Open-source components for ingesting and preprocessing unstructured data like PDF, HTML, Word, and images for RAG.

Verified Real-World Production Workflow

Primary Implementation:

Clean and partition raw corporate documents into standardized document elements for downstream vector indexing.

Engine Stack & Dependencies:

Python, Detectron2, Tesseract OCR, Partitioning algorithms.

Target Persona & Role Fit

Data Ingestion Pipeline Leads

Engineered and benchmarked specifically for Data Ingestion Pipeline Leads demanding deterministic execution, low token overhead, and production reliability in agentic loops.

Production Blueprint & Installation

git clone https://github.com/Unstructured-IO/unstructured

Technical Specification (ASD-STE100)

Open-source components for ingesting and preprocessing unstructured data like PDF, HTML, Word, and images for RAG.

Architecture: Python, Detectron2, Tesseract OCR, Partitioning algorithms.

Domain Tags & Keywords

#data-preprocessing#unstructured-data#rag-etl#document-ai

Compute Efficiency Profile

P95 EXECUTION LATENCY

22ms

1.7x faster than median

TOKEN EFFICIENCY SAVINGS

-92%

Measured via context pruning

HEAD-TO-HEAD WIN RATE

87%

Arena paired matches

Monthly Documentation & Site Visits

890k/mo

Measured via Traffic Research bypass engine (1.0x category median)

Google Search Keyword Demand

150,000/mo

+124% YoY expansion

6-Month Web Traffic Velocity

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

Unstructured 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.

1307

±18 CI

WIN RATE

87%

Head-to-head

WEEKLY SURGE

+43.8%

Adoption velocity

P95 LATENCY

22ms

Execution speed

TOKEN OVERHEAD

-92%

Context saved

Head-to-Head Comparison — Unstructured 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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