1.2M+
Total Executions
Code snippets processed since launch.
245ms
Average Execution Speed
From API request to response delivery.
99.8%
Success Rate
Successfully executed user submissions.
The Execution Flow
Each code submission follows a secure, step-by-step journey from request to response, ensuring isolation and efficiency at every stage.
Language Landscape
Execution by Language
Python is the most popular language on the platform, accounting for nearly half of all submissions.
Average Execution Speed by Language (ms)
Node.js shows the fastest execution times, while Java has a higher startup overhead.
Efficient Resource Management
Resource usage is carefully monitored. The radar chart shows a normalized comparison of CPU usage, memory allocation, and container cold-start times across languages. This data helps optimize the underlying infrastructure and ensure platform stability.
- CPU Usage: Node.js is highly efficient, whereas Java's JVM requires more processing power.
- Memory Allocation: Python's memory footprint is moderate, sitting between the lightweight Node.js and memory-intensive Java.
- Startup Time: Node.js containers have near-instant cold starts, a key performance advantage.
Platform Growth & Stability
Tracking daily executions shows consistent growth in user engagement, while the average execution time remains stable and low, indicating a scalable and reliable architecture.
Support Our Open Source Journey!
`executeme` is a passion project built for the developer community. Your support fuels continuous improvement, new features, and ongoing maintenance. Every contribution, big or small, makes a difference!