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STEM Arena Rank #233

Instructor

jxnl/instructor · Author: @jxnl

View on GitHub

Arena ELO

1170

±23

Total Stars

14.0k

+70.5% w/w

Monthly Traffic

410k/mo

0.5x vs median

Search Demand

36,000/mo

+64% YoY

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

12-Month Adoption & Star Velocity +70.5% w/w

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

Instructor Category Median

GROWTH VELOCITY

+70.5%

1.2x vs category median

ARENA ELO SCORE

1170

-22 vs category median

WEB VISITS MOMENTUM

410k/mo

0.5x category median

LATENCY EFFICIENCY

38ms

1.0x faster execution

Ecosystem Adoption Thesis

Across verified open-source agentic tools, Instructor holds a position in the top percentile for developer retention and production velocity. Its weekly surge rate of +70.5% signals sustained real-world adoption rather than speculative hype.

Why Teams & Autonomous Agents Choose Instructor

Structured outputs with Pydantic for Python and TypeScript. Guarantees 100% typed, validated JSON from any language model.

Verified Real-World Production Workflow

Primary Implementation:

Extract dense scientific papers into structured DAG ontology models with automatic validation retries on schema errors.

Engine Stack & Dependencies:

Pydantic v2, Functional calling, Tenacity retries, Zod.

Target Persona & Role Fit

Research Data Scientists

Engineered and benchmarked specifically for Research Data Scientists demanding deterministic execution, low token overhead, and production reliability in agentic loops.

Production Blueprint & Installation

git clone https://github.com/jxnl/instructor

Technical Specification (ASD-STE100)

Structured outputs with Pydantic for Python and TypeScript. Guarantees 100% typed, validated JSON from any language model.

Architecture: Pydantic v2, Functional calling, Tenacity retries, Zod.

Domain Tags & Keywords

#structured-data#pydantic#typed-output#validation

Compute Efficiency Profile

P95 EXECUTION LATENCY

38ms

1.0x faster than median

TOKEN EFFICIENCY SAVINGS

-96%

Measured via context pruning

HEAD-TO-HEAD WIN RATE

69%

Arena paired matches

Monthly Documentation & Site Visits

410k/mo

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

Google Search Keyword Demand

36,000/mo

+64% YoY expansion

6-Month Web Traffic Velocity

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

Instructor 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.

1170

±23 CI

WIN RATE

69%

Head-to-head

WEEKLY SURGE

+70.5%

Adoption velocity

P95 LATENCY

38ms

Execution speed

TOKEN OVERHEAD

-96%

Context saved

Head-to-Head Comparison — Instructor 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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