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Langfuse
AI Ops Arena Rank #218

Langfuse

langfuse/langfuse · Author: @langfuse
Arena ELO
1179
±19
Total Stars
35.5k
+298.5% w/w
Monthly Traffic
580k/mo
0.7x vs median
Search Demand
38,000/mo
+78% YoY

12-Month Adoption & Star Velocity +298.5% w/w

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

Langfuse Category Median
35k 19k 3k NovDecJanFebMarAprMayJunJulAugSepOct Nov · 3.0k vs 4.4k med This Skill: 3.0k -1.5k vs Median Dec · 3.7k vs 5.0k med This Skill: 3.7k -1.3k vs Median Jan · 4.6k vs 5.7k med This Skill: 4.6k -1.0k vs Median Feb · 5.8k vs 6.5k med This Skill: 5.8k -649 vs Median Mar · 7.3k vs 7.3k med This Skill: 7.3k -57 vs Median Apr · 9.1k vs 8.4k med This Skill: 9.1k +789 vs Median May · 11.5k vs 9.5k med This Skill: 11.5k +2.0k vs Median Jun · 14.4k vs 10.8k med This Skill: 14.4k +3.6k vs Median Jul · 18.0k vs 12.3k med This Skill: 18.0k +5.7k vs Median Aug · 22.6k vs 13.9k med This Skill: 22.6k +8.6k vs Median Sep · 28.3k vs 15.8k med This Skill: 28.3k +12.5k vs Median Oct · 35.5k vs 18.0k med This Skill: 35.5k +17.5k vs Median
GROWTH VELOCITY
+298.5%
1.4x vs category median
ARENA ELO SCORE
1179
-13 vs category median
WEB VISITS MOMENTUM
580k/mo
0.7x category median
LATENCY EFFICIENCY
32ms
1.2x faster execution

Ecosystem Adoption Thesis

Across verified open-source agentic tools, Langfuse holds a position in the top percentile for developer retention and production velocity. Its weekly surge rate of +298.5% signals sustained real-world adoption rather than speculative hype.

Why Teams & Autonomous Agents Choose Langfuse

Open source LLM engineering platform: observability, metrics, evaluations, prompt management.

Verified Real-World Production Workflow

Primary Implementation:

Inspect detailed step-by-step traces of multi-agent runs, latency bottlenecks, and token spend.

Engine Stack & Dependencies:

Next.js, ClickHouse, PostgreSQL, OpenTelemetry.

Target Persona & Role Fit

LLMOps & Observability Engineers

Engineered and benchmarked specifically for LLMOps & Observability Engineers demanding deterministic execution, low token overhead, and production reliability in agentic loops.

Production Blueprint & Installation

git clone https://github.com/langfuse/langfuse

Technical Specification (ASD-STE100)

Open source LLM engineering platform: observability, metrics, evaluations, prompt management.
Architecture: Next.js, ClickHouse, PostgreSQL, OpenTelemetry.

Domain Tags & Keywords

#observability#tracing#evals

Compute Efficiency Profile

P95 EXECUTION LATENCY
32ms
1.2x faster than median
TOKEN EFFICIENCY SAVINGS
-95%
Measured via context pruning
HEAD-TO-HEAD WIN RATE
70%
Arena paired matches
Monthly Documentation & Site Visits
580k/mo
Measured via Traffic Research bypass engine (0.7x category median)
Google Search Keyword Demand
38,000/mo
+78% YoY expansion

6-Month Web Traffic Velocity

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

Langfuse Median
850k 545k 241k MayJunJulAugSepOct May · 240.7k vs 680.0k med This Skill: 240.7k -439.3k vs Median Jun · 308.6k vs 714.0k med This Skill: 308.6k -405.4k vs Median Jul · 376.4k vs 748.0k med This Skill: 376.4k -371.6k vs Median Aug · 444.3k vs 782.0k med This Skill: 444.3k -337.7k vs Median Sep · 512.1k vs 816.0k med This Skill: 512.1k -303.9k vs Median Oct · 580.0k vs 850.0k med This Skill: 580.0k -270.0k 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.

1179
±19 CI
1k 1k 1k MayJunJulAugSepOct May · 1.2k vs 1.2k med This Skill: 1.2k -38 vs Median Jun · 1.2k vs 1.2k med This Skill: 1.2k -32 vs Median Jul · 1.2k vs 1.2k med This Skill: 1.2k -18 vs Median Aug · 1.2k vs 1.2k med This Skill: 1.2k -7 vs Median Sep · 1.2k vs 1.2k med This Skill: 1.2k -8 vs Median Oct · 1.2k vs 1.2k med This Skill: 1.2k -19 vs Median
WIN RATE
70%
Head-to-head
WEEKLY SURGE
+298.5%
Adoption velocity
P95 LATENCY
32ms
Execution speed
TOKEN OVERHEAD
-95%
Context saved

Head-to-Head Comparison — Langfuse 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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