computesdk

Compare startup time-to-interactive for top sandbox providers.

41
5
100% credibility
Found Feb 20, 2026 at 25 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

This repository provides automated daily benchmarks measuring startup speeds of various cloud sandbox providers, displaying results in charts and tables.

How It Works

1
🔍 Discover benchmarks

You find this GitHub page while searching for speed comparisons of online services that run code in safe spaces.

2
📊 View the speed chart

A colorful graphic shows which services start up and respond fastest, ranked by real tests.

3
⏱️ Understand the test

It times how long from asking for a space to running your first simple command successfully.

4
🔄 See daily fresh results

Tests run automatically every day, with all numbers saved openly for anyone to check.

5
🛡️ Feel the trustworthiness

Open sharing of methods, no outside meddling, and clear sponsor rules build confidence.

🎉 Choose wisely

You now know the quickest service and can pick it for smooth, speedy code running.

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Star Growth

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AI-Generated Review

What is benchmarks?

This TypeScript project runs automated benchmarks tests on top sandbox providers like E2B, Modal, and Daytona, measuring time-to-interactive (TTI)—from API call to first command execution in a fresh sandbox. It solves the pain of manually comparing startup performance across providers, delivering daily results via GitHub Actions in SVG charts, tables, and raw JSON committed to the repo. Developers get reproducible benchmarks definition for cold starts, with CLI scripts to run custom iterations using your own API keys.

Why is it gaining traction?

Unlike scattered provider claims, it offers independent, transparent benchmarkstudie with stats like median, min, max TTI—think benchmarks cpu or benchmarks gpu, but for sandbox boot times. The hook is zero-setup viewing of live comparisons in the README SVG, plus direct mode for testing without a gateway, making it easy to validate before picking a provider. Daily automation and sponsor-proof methodology build trust fast.

Who should use this?

Backend engineers evaluating sandboxes for AI agents or serverless code execution, needing quick TTI comparisons like E2B vs. Modal. Teams migrating from GitHub Codespaces or debating Railway vs. Render for ephemeral environments. Ops folks running benchmark tests on startup configs, similar to cisco compare startup config running config.

Verdict

Solid foundation for sandbox benchmarks deutsch-style analysis, but at 18 stars and 1.0% credibility score, it's early-stage—docs are README-focused, no deep tests yet. Fork and run your own for reliable provider picks; worth watching as roadmap adds stress tests.

(198 words)

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