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STEM Arena Rank #283

Manim

3b1b/manim · Author: @3b1b

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Arena ELO

1259

±22

Total Stars

94.7k

+38.4% w/w

Monthly Traffic

1.2M/mo

1.4x vs median

Search Demand

150,000/mo

+22% YoY

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

12-Month Adoption & Star Velocity +38.4% w/w

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

Manim Category Median

GROWTH VELOCITY

+38.4%

0.5x vs category median

ARENA ELO SCORE

1259

+67 vs category median

WEB VISITS MOMENTUM

1.2M/mo

1.4x category median

LATENCY EFFICIENCY

80ms

0.5x faster execution

Ecosystem Adoption Thesis

Across verified open-source agentic tools, Manim holds a position in the top percentile for developer retention and production velocity. Its weekly surge rate of +38.4% signals sustained real-world adoption rather than speculative hype.

Why Teams & Autonomous Agents Choose Manim

Grant Sanderson's (3Blue1Brown) programmatic mathematical animation engine for creating precise explanatory animations in Python.

Verified Real-World Production Workflow

Primary Implementation:

Turn abstract calculus formulas, linear algebra transformations, and Fourier transforms into crisp SVG and MP4 animations.

Engine Stack & Dependencies:

Python, Cairo, FFmpeg, LaTeX, ModernGL.

Target Persona & Role Fit

STEM Educators & Visualizers

Engineered and benchmarked specifically for STEM Educators & Visualizers demanding deterministic execution, low token overhead, and production reliability in agentic loops.

Production Blueprint & Installation

git clone https://github.com/3b1b/manim

Technical Specification (ASD-STE100)

Grant Sanderson's (3Blue1Brown) programmatic mathematical animation engine for creating precise explanatory animations in Python.

Architecture: Python, Cairo, FFmpeg, LaTeX, ModernGL.

Domain Tags & Keywords

#math-animation#3blue1brown#calculus#visual-stem

Compute Efficiency Profile

P95 EXECUTION LATENCY

80ms

0.5x faster than median

TOKEN EFFICIENCY SAVINGS

-88%

Measured via context pruning

HEAD-TO-HEAD WIN RATE

82%

Arena paired matches

Monthly Documentation & Site Visits

1.2M/mo

Measured via Traffic Research bypass engine (1.4x category median)

Google Search Keyword Demand

150,000/mo

+22% YoY expansion

6-Month Web Traffic Velocity

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

Manim 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.

1259

±22 CI

WIN RATE

82%

Head-to-head

WEEKLY SURGE

+38.4%

Adoption velocity

P95 LATENCY

80ms

Execution speed

TOKEN OVERHEAD

-88%

Context saved

Head-to-Head Comparison — Manim 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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