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STEM & AI Researchers Arena Rank #4

Docling

DS4SD/docling · Author: @DS4SD

View on GitHub

Arena ELO

1370

±18

Total Stars

68.5k

+315% w/w

Monthly Traffic

680k/mo

0.8x vs median

Search Demand

120,000/mo

+212% YoY

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

12-Month Adoption & Star Velocity +315% w/w

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

Docling Category Median

GROWTH VELOCITY

+315%

3.9x vs category median

ARENA ELO SCORE

1370

+178 vs category median

WEB VISITS MOMENTUM

680k/mo

0.8x category median

LATENCY EFFICIENCY

18ms

2.1x faster execution

Ecosystem Adoption Thesis

Across verified open-source agentic tools, Docling holds a position in the top percentile for developer retention and production velocity. Its weekly surge rate of +315% signals sustained real-world adoption rather than speculative hype.

Why Teams & Autonomous Agents Choose Docling

Parse complex documents (PDF, DOCX, PPTX) into structured Markdown and JSON with table and formula recovery.

Verified Real-World Production Workflow

Primary Implementation:

Extract high-density financial tables, charts, and mathematical equations from scientific whitepapers into LLM-clean formats.

Engine Stack & Dependencies:

Python, DocLayNet models, TableFormer, OCR pipelines.

Target Persona & Role Fit

Document Parsing Specialists

Engineered and benchmarked specifically for Document Parsing Specialists demanding deterministic execution, low token overhead, and production reliability in agentic loops.

Production Blueprint & Installation

git clone https://github.com/DS4SD/docling

Technical Specification (ASD-STE100)

Parse complex documents (PDF, DOCX, PPTX) into structured Markdown and JSON with table and formula recovery.

Architecture: Python, DocLayNet models, TableFormer, OCR pipelines.

Domain Tags & Keywords

#pdf-parser#table-extraction#document-ai#docling

Compute Efficiency Profile

P95 EXECUTION LATENCY

18ms

2.1x faster than median

TOKEN EFFICIENCY SAVINGS

-96%

Measured via context pruning

HEAD-TO-HEAD WIN RATE

95%

Arena paired matches

Monthly Documentation & Site Visits

680k/mo

Measured via Traffic Research bypass engine (0.8x category median)

Google Search Keyword Demand

120,000/mo

+212% YoY expansion

6-Month Web Traffic Velocity

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

Docling 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.

1370

±18 CI

WIN RATE

95%

Head-to-head

WEEKLY SURGE

+315%

Adoption velocity

P95 LATENCY

18ms

Execution speed

TOKEN OVERHEAD

-96%

Context saved

Head-to-Head Comparison — Docling 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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