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SWE Arena Rank #268

Open Interpreter

OpenInterpreter/open-interpreter · Author: @OpenInterpreter

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Arena ELO

1243

±24

Total Stars

68.5k

+20.6% w/w

Monthly Traffic

1.8M/mo

2.1x vs median

Search Demand

180,000/mo

+28% YoY

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

12-Month Adoption & Star Velocity +20.6% w/w

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

Open Interpreter Category Median

GROWTH VELOCITY

+20.6%

0.7x vs category median

ARENA ELO SCORE

1243

+51 vs category median

WEB VISITS MOMENTUM

1.8M/mo

2.1x category median

LATENCY EFFICIENCY

65ms

0.6x faster execution

Ecosystem Adoption Thesis

Across verified open-source agentic tools, Open Interpreter holds a position in the top percentile for developer retention and production velocity. Its weekly surge rate of +20.6% signals sustained real-world adoption rather than speculative hype.

Why Teams & Autonomous Agents Choose Open Interpreter

A natural language interface for computers to run code in Python, Bash, and AppleScript.

Verified Real-World Production Workflow

Primary Implementation:

Automate OS-level file manipulation, browser scraping, and script debugging.

Engine Stack & Dependencies:

Python, Jupyter kernel, LiteLLM.

Target Persona & Role Fit

Terminal Hackers

Engineered and benchmarked specifically for Terminal Hackers demanding deterministic execution, low token overhead, and production reliability in agentic loops.

Production Blueprint & Installation

git clone https://github.com/OpenInterpreter/open-interpreter

Technical Specification (ASD-STE100)

A natural language interface for computers to run code in Python, Bash, and AppleScript.

Architecture: Python, Jupyter kernel, LiteLLM.

Domain Tags & Keywords

#terminal-os#voice-coding#agent

Compute Efficiency Profile

P95 EXECUTION LATENCY

65ms

0.6x faster than median

TOKEN EFFICIENCY SAVINGS

-88%

Measured via context pruning

HEAD-TO-HEAD WIN RATE

79%

Arena paired matches

Monthly Documentation & Site Visits

1.8M/mo

Measured via Traffic Research bypass engine (2.1x category median)

Google Search Keyword Demand

180,000/mo

+28% YoY expansion

6-Month Web Traffic Velocity

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

Open Interpreter 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.

1243

±24 CI

WIN RATE

79%

Head-to-head

WEEKLY SURGE

+20.6%

Adoption velocity

P95 LATENCY

65ms

Execution speed

TOKEN OVERHEAD

-88%

Context saved

Head-to-Head Comparison — Open Interpreter 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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