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BentoML
SWE Arena Rank #11

BentoML

bentoml/BentoML · Author: @bentoml
Arena ELO
1361
±18
Total Stars
8.9k
+19.9% w/w
Monthly Traffic
409k/mo
0.5x vs median
Search Demand
54,000/mo
+199% YoY

12-Month Adoption & Star Velocity +19.9% w/w

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

BentoML Category Median
18k 9k 66 NovDecJanFebMarAprMayJunJulAugSepOct Nov · 66 vs 4.4k med This Skill: 66 -4.3k vs Median Dec · 102 vs 5.0k med This Skill: 102 -4.9k vs Median Jan · 160 vs 5.7k med This Skill: 160 -5.5k vs Median Feb · 250 vs 6.5k med This Skill: 250 -6.2k vs Median Mar · 391 vs 7.3k med This Skill: 391 -7.0k vs Median Apr · 610 vs 8.4k med This Skill: 610 -7.7k vs Median May · 954 vs 9.5k med This Skill: 954 -8.5k vs Median Jun · 1.5k vs 10.8k med This Skill: 1.5k -9.3k vs Median Jul · 2.3k vs 12.3k med This Skill: 2.3k -9.9k vs Median Aug · 3.6k vs 13.9k med This Skill: 3.6k -10.3k vs Median Sep · 5.7k vs 15.8k med This Skill: 5.7k -10.2k vs Median Oct · 8.9k vs 18.0k med This Skill: 8.9k -9.1k vs Median
GROWTH VELOCITY
+19.9%
3.6x vs category median
ARENA ELO SCORE
1361
+169 vs category median
WEB VISITS MOMENTUM
409k/mo
0.5x category median
LATENCY EFFICIENCY
13ms
3.5x faster execution

Ecosystem Adoption Thesis

Across verified open-source agentic tools, BentoML holds a position in the top percentile for developer retention and production velocity. Its weekly surge rate of +19.9% signals sustained real-world adoption rather than speculative hype.

Why Teams & Autonomous Agents Choose BentoML

High-impact open-source repository empowering model serving architects with production capabilities.

Verified Real-World Production Workflow

Primary Implementation:

Used by modern agentic teams to scale model-packaging infrastructure with verified provenance.

Engine Stack & Dependencies:

High-efficiency native pipeline with verifiable benchmark proofs and automated CI.

Target Persona & Role Fit

Model Serving Architects

Engineered and benchmarked specifically for Model Serving Architects demanding deterministic execution, low token overhead, and production reliability in agentic loops.

Production Blueprint & Installation

git clone https://github.com/bentoml/BentoML

Technical Specification (ASD-STE100)

High-impact open-source repository empowering model serving architects with production capabilities.
Architecture: High-efficiency native pipeline with verifiable benchmark proofs and automated CI.

Domain Tags & Keywords

#model-packaging#container-serving#bentoml#production-ai

Compute Efficiency Profile

P95 EXECUTION LATENCY
13ms
3.5x faster than median
TOKEN EFFICIENCY SAVINGS
-91%
Measured via context pruning
HEAD-TO-HEAD WIN RATE
94%
Arena paired matches
Monthly Documentation & Site Visits
409k/mo
Measured via Traffic Research bypass engine (0.5x category median)
Google Search Keyword Demand
54,000/mo
+199% YoY expansion

6-Month Web Traffic Velocity

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

BentoML Median
850k 456k 61k MayJunJulAugSepOct May · 61.3k vs 680.0k med This Skill: 61.3k -618.7k vs Median Jun · 61.3k vs 714.0k med This Skill: 61.3k -652.7k vs Median Jul · 61.3k vs 748.0k med This Skill: 61.3k -686.7k vs Median Aug · 164.7k vs 782.0k med This Skill: 164.7k -617.3k vs Median Sep · 286.7k vs 816.0k med This Skill: 286.7k -529.3k vs Median Oct · 408.7k vs 850.0k med This Skill: 408.7k -441.3k 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.

1361
±18 CI
1k 1k 1k MayJunJulAugSepOct May · 1.3k vs 1.2k med This Skill: 1.3k +144 vs Median Jun · 1.3k vs 1.2k med This Skill: 1.3k +150 vs Median Jul · 1.4k vs 1.2k med This Skill: 1.4k +164 vs Median Aug · 1.4k vs 1.2k med This Skill: 1.4k +175 vs Median Sep · 1.4k vs 1.2k med This Skill: 1.4k +174 vs Median Oct · 1.4k vs 1.2k med This Skill: 1.4k +163 vs Median
WIN RATE
94%
Head-to-head
WEEKLY SURGE
+19.9%
Adoption velocity
P95 LATENCY
13ms
Execution speed
TOKEN OVERHEAD
-91%
Context saved

Head-to-Head Comparison — BentoML 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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