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SWE Arena Rank #47

FastEmbed

qdrant/fastembed · Author: @qdrant

View on GitHub

Arena ELO

1328

±18

Total Stars

3.2k

+15.5% w/w

Monthly Traffic

280k/mo

0.3x vs median

Search Demand

48,000/mo

+155% YoY

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

12-Month Adoption & Star Velocity +15.5% w/w

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

FastEmbed Category Median

GROWTH VELOCITY

+15.5%

2.8x vs category median

ARENA ELO SCORE

1328

+136 vs category median

WEB VISITS MOMENTUM

280k/mo

0.3x category median

LATENCY EFFICIENCY

8ms

4.8x faster execution

Ecosystem Adoption Thesis

Across verified open-source agentic tools, FastEmbed holds a position in the top percentile for developer retention and production velocity. Its weekly surge rate of +15.5% signals sustained real-world adoption rather than speculative hype.

Why Teams & Autonomous Agents Choose FastEmbed

Fast, lightweight Python library for generating vector embeddings locally without PyTorch dependencies.

Verified Real-World Production Workflow

Primary Implementation:

Generate sentence embeddings using ONNX Runtime directly inside edge microservices without installing 5GB PyTorch wheels.

Engine Stack & Dependencies:

Python, ONNX Runtime, Hugging Face Tokenizers.

Target Persona & Role Fit

Lightweight Embedding Devs

Engineered and benchmarked specifically for Lightweight Embedding Devs demanding deterministic execution, low token overhead, and production reliability in agentic loops.

Production Blueprint & Installation

git clone https://github.com/qdrant/fastembed

Technical Specification (ASD-STE100)

Fast, lightweight Python library for generating vector embeddings locally without PyTorch dependencies.

Architecture: Python, ONNX Runtime, Hugging Face Tokenizers.

Domain Tags & Keywords

#fast-embeddings#onnx-inference#zero-pytorch#qdrant

Compute Efficiency Profile

P95 EXECUTION LATENCY

8ms

4.8x faster than median

TOKEN EFFICIENCY SAVINGS

-99%

Measured via context pruning

HEAD-TO-HEAD WIN RATE

90%

Arena paired matches

Monthly Documentation & Site Visits

280k/mo

Measured via Traffic Research bypass engine (0.3x category median)

Google Search Keyword Demand

48,000/mo

+155% YoY expansion

6-Month Web Traffic Velocity

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

FastEmbed 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.

1328

±18 CI

WIN RATE

90%

Head-to-head

WEEKLY SURGE

+15.5%

Adoption velocity

P95 LATENCY

8ms

Execution speed

TOKEN OVERHEAD

-99%

Context saved

Head-to-Head Comparison — FastEmbed 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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