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DSPy
STEM & AI Researchers Arena Rank #24

DSPy

stanfordnlp/dspy · Author: @stanfordnlp
Arena ELO
1347
±18
Total Stars
38.5k
+161.5% w/w
Monthly Traffic
881k/mo
1.0x vs median
Search Demand
67,000/mo
+180% YoY

12-Month Adoption & Star Velocity +161.5% w/w

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

DSPy Category Median
39k 19k 414 NovDecJanFebMarAprMayJunJulAugSepOct Nov · 414 vs 4.4k med This Skill: 414 -4.0k vs Median Dec · 625 vs 5.0k med This Skill: 625 -4.4k vs Median Jan · 944 vs 5.7k med This Skill: 944 -4.7k vs Median Feb · 1.4k vs 6.5k med This Skill: 1.4k -5.0k vs Median Mar · 2.2k vs 7.3k med This Skill: 2.2k -5.2k vs Median Apr · 3.3k vs 8.4k med This Skill: 3.3k -5.1k vs Median May · 4.9k vs 9.5k med This Skill: 4.9k -4.6k vs Median Jun · 7.4k vs 10.8k med This Skill: 7.4k -3.4k vs Median Jul · 11.2k vs 12.3k med This Skill: 11.2k -1.1k vs Median Aug · 16.9k vs 13.9k med This Skill: 16.9k +3.0k vs Median Sep · 25.5k vs 15.8k med This Skill: 25.5k +9.7k vs Median Oct · 38.5k vs 18.0k med This Skill: 38.5k +20.5k vs Median
GROWTH VELOCITY
+161.5%
3.3x vs category median
ARENA ELO SCORE
1347
+155 vs category median
WEB VISITS MOMENTUM
881k/mo
1.0x category median
LATENCY EFFICIENCY
22ms
1.8x faster execution

Ecosystem Adoption Thesis

Across verified open-source agentic tools, DSPy holds a position in the top percentile for developer retention and production velocity. Its weekly surge rate of +161.5% signals sustained real-world adoption rather than speculative hype.

Why Teams & Autonomous Agents Choose DSPy

High-impact open-source repository empowering algorithmic prompt compilers with production capabilities.

Verified Real-World Production Workflow

Primary Implementation:

Used by modern agentic teams to scale prompt-compiler infrastructure with verified provenance.

Engine Stack & Dependencies:

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

Target Persona & Role Fit

Algorithmic Prompt Compilers

Engineered and benchmarked specifically for Algorithmic Prompt Compilers demanding deterministic execution, low token overhead, and production reliability in agentic loops.

Production Blueprint & Installation

git clone https://github.com/stanfordnlp/dspy

Technical Specification (ASD-STE100)

High-impact open-source repository empowering algorithmic prompt compilers with production capabilities.
Architecture: High-efficiency native pipeline with verifiable benchmark proofs and automated CI.

Domain Tags & Keywords

#prompt-compiler#teleprompter#stanford-nlp#dspy

Compute Efficiency Profile

P95 EXECUTION LATENCY
22ms
1.8x faster than median
TOKEN EFFICIENCY SAVINGS
-94%
Measured via context pruning
HEAD-TO-HEAD WIN RATE
93%
Arena paired matches
Monthly Documentation & Site Visits
881k/mo
Measured via Traffic Research bypass engine (1.0x category median)
Google Search Keyword Demand
67,000/mo
+180% YoY expansion

6-Month Web Traffic Velocity

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

DSPy Median
881k 507k 132k MayJunJulAugSepOct May · 132.2k vs 680.0k med This Skill: 132.2k -547.8k vs Median Jun · 132.2k vs 714.0k med This Skill: 132.2k -581.8k vs Median Jul · 167.4k vs 748.0k med This Skill: 167.4k -580.6k vs Median Aug · 405.3k vs 782.0k med This Skill: 405.3k -376.7k vs Median Sep · 643.2k vs 816.0k med This Skill: 643.2k -172.8k vs Median Oct · 881.1k vs 850.0k med This Skill: 881.1k +31.1k 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.

1347
±18 CI
1k 1k 1k MayJunJulAugSepOct May · 1.3k vs 1.2k med This Skill: 1.3k +130 vs Median Jun · 1.3k vs 1.2k med This Skill: 1.3k +136 vs Median Jul · 1.3k vs 1.2k med This Skill: 1.3k +150 vs Median Aug · 1.4k vs 1.2k med This Skill: 1.4k +161 vs Median Sep · 1.4k vs 1.2k med This Skill: 1.4k +160 vs Median Oct · 1.3k vs 1.2k med This Skill: 1.3k +149 vs Median
WIN RATE
93%
Head-to-head
WEEKLY SURGE
+161.5%
Adoption velocity
P95 LATENCY
22ms
Execution speed
TOKEN OVERHEAD
-94%
Context saved

Head-to-Head Comparison — DSPy 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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