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Magentic
SWE Arena Rank #94

Magentic

jackmpcollins/magentic · Author: @jackmpcollins
Arena ELO
1314
±18
Total Stars
2.4k
+13.5% w/w
Monthly Traffic
140k/mo
0.2x vs median
Search Demand
28,000/mo
+135% YoY

12-Month Adoption & Star Velocity +13.5% w/w

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

Magentic Category Median
18k 9k 50 NovDecJanFebMarAprMayJunJulAugSepOct Nov · 50 vs 4.4k med This Skill: 50 -4.4k vs Median Dec · 66 vs 5.0k med This Skill: 66 -4.9k vs Median Jan · 94 vs 5.7k med This Skill: 94 -5.6k vs Median Feb · 135 vs 6.5k med This Skill: 135 -6.3k vs Median Mar · 194 vs 7.3k med This Skill: 194 -7.2k vs Median Apr · 278 vs 8.4k med This Skill: 278 -8.1k vs Median May · 399 vs 9.5k med This Skill: 399 -9.1k vs Median Jun · 572 vs 10.8k med This Skill: 572 -10.2k vs Median Jul · 821 vs 12.3k med This Skill: 821 -11.4k vs Median Aug · 1.2k vs 13.9k med This Skill: 1.2k -12.8k vs Median Sep · 1.7k vs 15.8k med This Skill: 1.7k -14.1k vs Median Oct · 2.4k vs 18.0k med This Skill: 2.4k -15.6k vs Median
GROWTH VELOCITY
+13.5%
2.5x vs category median
ARENA ELO SCORE
1314
+122 vs category median
WEB VISITS MOMENTUM
140k/mo
0.2x category median
LATENCY EFFICIENCY
15ms
2.5x faster execution

Ecosystem Adoption Thesis

Across verified open-source agentic tools, Magentic holds a position in the top percentile for developer retention and production velocity. Its weekly surge rate of +13.5% signals sustained real-world adoption rather than speculative hype.

Why Teams & Autonomous Agents Choose Magentic

Seamlessly integrate LLMs as Python functions with Pydantic type signatures and structured validation.

Verified Real-World Production Workflow

Primary Implementation:

Define Python functions decorated with `@prompt` that return type-safe Pydantic objects from LLM outputs.

Engine Stack & Dependencies:

Python, Pydantic v2, Instructor primitives, Typing.

Target Persona & Role Fit

Typed Prompt Engineers

Engineered and benchmarked specifically for Typed Prompt Engineers demanding deterministic execution, low token overhead, and production reliability in agentic loops.

Production Blueprint & Installation

git clone https://github.com/jackmpcollins/magentic

Technical Specification (ASD-STE100)

Seamlessly integrate LLMs as Python functions with Pydantic type signatures and structured validation.
Architecture: Python, Pydantic v2, Instructor primitives, Typing.

Domain Tags & Keywords

#typed-prompts#pydantic-llm#structured-output#pythonic

Compute Efficiency Profile

P95 EXECUTION LATENCY
15ms
2.5x faster than median
TOKEN EFFICIENCY SAVINGS
-96%
Measured via context pruning
HEAD-TO-HEAD WIN RATE
88%
Arena paired matches
Monthly Documentation & Site Visits
140k/mo
Measured via Traffic Research bypass engine (0.2x category median)
Google Search Keyword Demand
28,000/mo
+135% YoY expansion

6-Month Web Traffic Velocity

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

Magentic Median
850k 436k 21k MayJunJulAugSepOct May · 21.0k vs 680.0k med This Skill: 21.0k -659.0k vs Median Jun · 26.6k vs 714.0k med This Skill: 26.6k -687.4k vs Median Jul · 55.0k vs 748.0k med This Skill: 55.0k -693.0k vs Median Aug · 83.3k vs 782.0k med This Skill: 83.3k -698.7k vs Median Sep · 111.7k vs 816.0k med This Skill: 111.7k -704.4k vs Median Oct · 140.0k vs 850.0k med This Skill: 140.0k -710.0k vs 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.

1314
±18 CI
1k 1k 1k MayJunJulAugSepOct May · 1.3k vs 1.2k med This Skill: 1.3k +97 vs Median Jun · 1.3k vs 1.2k med This Skill: 1.3k +103 vs Median Jul · 1.3k vs 1.2k med This Skill: 1.3k +117 vs Median Aug · 1.3k vs 1.2k med This Skill: 1.3k +128 vs Median Sep · 1.3k vs 1.2k med This Skill: 1.3k +127 vs Median Oct · 1.3k vs 1.2k med This Skill: 1.3k +116 vs Median
WIN RATE
88%
Head-to-head
WEEKLY SURGE
+13.5%
Adoption velocity
P95 LATENCY
15ms
Execution speed
TOKEN OVERHEAD
-96%
Context saved

Head-to-Head Comparison — Magentic vs 300 Skills

Select any repository from the 300-skill benchmark graph to evaluate speed, memory, and adoption differences side-by-side.

Compare with:
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