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Founders Arena Rank #204

Framer Motion

framer/motion · Author: @framer

View on GitHub

Arena ELO

1305

±19

Total Stars

33.9k

+26.3% w/w

Monthly Traffic

1.9M/mo

2.2x vs median

Search Demand

310,000/mo

+110% YoY

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

12-Month Adoption & Star Velocity +26.3% w/w

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

Framer Motion Category Median

GROWTH VELOCITY

+26.3%

1.6x vs category median

ARENA ELO SCORE

1305

+113 vs category median

WEB VISITS MOMENTUM

1.9M/mo

2.2x category median

LATENCY EFFICIENCY

16ms

2.4x faster execution

Ecosystem Adoption Thesis

Across verified open-source agentic tools, Framer Motion holds a position in the top percentile for developer retention and production velocity. Its weekly surge rate of +26.3% signals sustained real-world adoption rather than speculative hype.

Why Teams & Autonomous Agents Choose Framer Motion

Production-ready motion library for React. Declarative syntax, gesture handling, and physics-based spring simulations.

Verified Real-World Production Workflow

Primary Implementation:

Deliver smooth drawer slides, page transitions, and interactive visual indicators without CSS keyframe complexity.

Engine Stack & Dependencies:

TypeScript, Web Animations API, Popmotion physics engine.

Target Persona & Role Fit

UI/UX & Product Designers

Engineered and benchmarked specifically for UI/UX & Product Designers demanding deterministic execution, low token overhead, and production reliability in agentic loops.

Production Blueprint & Installation

git clone https://github.com/framer/motion

Technical Specification (ASD-STE100)

Production-ready motion library for React. Declarative syntax, gesture handling, and physics-based spring simulations.

Architecture: TypeScript, Web Animations API, Popmotion physics engine.

Domain Tags & Keywords

#animation#react#motion#ui-ux

Compute Efficiency Profile

P95 EXECUTION LATENCY

16ms

2.4x faster than median

TOKEN EFFICIENCY SAVINGS

-92%

Measured via context pruning

HEAD-TO-HEAD WIN RATE

86%

Arena paired matches

Monthly Documentation & Site Visits

1.9M/mo

Measured via Traffic Research bypass engine (2.2x category median)

Google Search Keyword Demand

310,000/mo

+110% YoY expansion

6-Month Web Traffic Velocity

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

Framer Motion 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.

1305

±19 CI

WIN RATE

86%

Head-to-head

WEEKLY SURGE

+26.3%

Adoption velocity

P95 LATENCY

16ms

Execution speed

TOKEN OVERHEAD

-92%

Context saved

Head-to-Head Comparison — Framer Motion 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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