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Meta Llama Stack
AI Ops Arena Rank #207

Meta Llama Stack

meta-llama/llama-stack · Author: @meta-llama
Arena ELO
1191
±25
Total Stars
8.4k
+8.5% w/w
Monthly Traffic
780k/mo
0.9x vs median
Search Demand
58,000/mo
+64% (Strong) YoY

12-Month Adoption & Star Velocity +8.5% w/w

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

Meta Llama Stack Category Median
18k 9k 741 NovDecJanFebMarAprMayJunJulAugSepOct Nov · 741 vs 4.4k med This Skill: 741 -3.7k vs Median Dec · 924 vs 5.0k med This Skill: 924 -4.1k vs Median Jan · 1.2k vs 5.7k med This Skill: 1.2k -4.5k vs Median Feb · 1.4k vs 6.5k med This Skill: 1.4k -5.0k vs Median Mar · 1.8k vs 7.3k med This Skill: 1.8k -5.6k vs Median Apr · 2.2k vs 8.4k med This Skill: 2.2k -6.1k vs Median May · 2.8k vs 9.5k med This Skill: 2.8k -6.7k vs Median Jun · 3.5k vs 10.8k med This Skill: 3.5k -7.3k vs Median Jul · 4.3k vs 12.3k med This Skill: 4.3k -7.9k vs Median Aug · 5.4k vs 13.9k med This Skill: 5.4k -8.5k vs Median Sep · 6.8k vs 15.8k med This Skill: 6.8k -9.1k vs Median Oct · 8.4k vs 18.0k med This Skill: 8.4k -9.6k vs Median
GROWTH VELOCITY
+8.5%
1.5x vs category median
ARENA ELO SCORE
1191
-1 vs category median
WEB VISITS MOMENTUM
780k/mo
0.9x category median
LATENCY EFFICIENCY
35ms
1.1x faster execution

Ecosystem Adoption Thesis

Across verified open-source agentic tools, Meta Llama Stack holds a position in the top percentile for developer retention and production velocity. Its weekly surge rate of +8.5% signals sustained real-world adoption rather than speculative hype.

Why Teams & Autonomous Agents Choose Meta Llama Stack

Standardized APIs and agentic building blocks for evaluating, fine-tuning, and serving Llama models across cloud and on-premise hardware.

Verified Real-World Production Workflow

Primary Implementation:

Building unified enterprise AI agent architectures that remain vendor-independent and fully sovereign on open weights.

Engine Stack & Dependencies:

Python, PyTorch, Llama CLI, REST API specification, Ollama/vLLM backend.

Target Persona & Role Fit

Open-Source AI Infrastructure Engineers

Engineered and benchmarked specifically for Open-Source AI Infrastructure Engineers demanding deterministic execution, low token overhead, and production reliability in agentic loops.

Production Blueprint & Installation

git clone https://github.com/meta-llama/llama-stack

Technical Specification (ASD-STE100)

Standardized APIs and agentic building blocks for evaluating, fine-tuning, and serving Llama models across cloud and on-premise hardware.
Architecture: Python, PyTorch, Llama CLI, REST API specification, Ollama/vLLM backend.

Domain Tags & Keywords

#Llama 3.3#Open Weights#Inference Stack#Meta#Standardized API

Compute Efficiency Profile

P95 EXECUTION LATENCY
35ms
1.1x faster than median
TOKEN EFFICIENCY SAVINGS
-35%
Measured via context pruning
HEAD-TO-HEAD WIN RATE
72%
Arena paired matches
Monthly Documentation & Site Visits
780k/mo
Measured via Traffic Research bypass engine (0.9x category median)
Google Search Keyword Demand
58,000/mo
+64% (Strong) YoY expansion

6-Month Web Traffic Velocity

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

Meta Llama Stack Median
850k 566k 283k MayJunJulAugSepOct May · 282.8k vs 680.0k med This Skill: 282.8k -397.3k vs Median Jun · 382.2k vs 714.0k med This Skill: 382.2k -331.8k vs Median Jul · 481.6k vs 748.0k med This Skill: 481.6k -266.4k vs Median Aug · 581.1k vs 782.0k med This Skill: 581.1k -200.9k vs Median Sep · 680.5k vs 816.0k med This Skill: 680.5k -135.4k vs Median Oct · 780.0k vs 850.0k med This Skill: 780.0k -70.0k 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.

1191
±25 CI
1k 1k 1k MayJunJulAugSepOct May · 1.2k vs 1.2k med This Skill: 1.2k -26 vs Median Jun · 1.2k vs 1.2k med This Skill: 1.2k -20 vs Median Jul · 1.2k vs 1.2k med This Skill: 1.2k -6 vs Median Aug · 1.2k vs 1.2k med This Skill: 1.2k +5 vs Median Sep · 1.2k vs 1.2k med This Skill: 1.2k +4 vs Median Oct · 1.2k vs 1.2k med This Skill: 1.2k -7 vs Median
WIN RATE
72%
Head-to-head
WEEKLY SURGE
+8.5%
Adoption velocity
P95 LATENCY
35ms
Execution speed
TOKEN OVERHEAD
-35%
Context saved

Head-to-Head Comparison — Meta Llama Stack 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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