LeonardLeroy

A CLI toolkit for optimizing energy efficiency in software projects, leveraging local AI to promote sustainable development practices

10
3
100% credibility
Found Apr 16, 2026 at 10 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

EcoCode is an open-source toolkit that measures the energy efficiency of code scripts and repositories, detects regressions, provides optimization suggestions, and tracks improvements over time.

How It Works

1
📰 Discover EcoCode

You hear about a friendly tool that checks how much energy your programs use, helping make them greener and faster.

2
🚀 Bring it into your project

You add the tool to your work folder with a simple setup, and it's ready to help right away.

3
Check a program's energy

Pick any script file, run a quick check, and get a clear report on its power use, thinking time, and memory needs.

4
📊 Save a starting measurement

Record the current energy snapshot as your baseline to spot if changes make things better or worse later.

5
💡 Get smart improvement ideas

The tool reviews your code and shares easy tips to cut energy waste while keeping everything working the same.

6
🏗️ Scan your whole project

It looks across all your files, adds up total energy costs, and highlights the biggest power users.

🌿 Enjoy greener, faster code

Your programs now sip energy instead of guzzling it, run smoother, and you're proud of building sustainably.

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AI-Generated Review

What is EcoCode?

EcoCode is a Python CLI toolkit that profiles scripts and repos for energy use by measuring CPU time, peak memory, and estimating watt-hours. It creates baselines to detect regressions in PRs, scans entire repos for hotspots, and tracks trends over commits. Developers get JSON/SARIF outputs for GitHub Actions integration, plus local AI suggestions via Ollama for optimizations like better loops or string handling.

Why is it gaining traction?

It turns invisible energy costs into actionable metrics, like linting but for sustainability—run `ecocode baseline create` before changes, compare later. Local AI toolkit CLI generates patches without cloud deps, working on Linux, Ubuntu, Windows. Stands out for reproducibility benchmarks and repo-wide scans, hooking teams tired of guesswork on perf regressions.

Who should use this?

Python/Rust/C++ backend devs profiling CLI scripts or services for cloud bills. DevOps engineers gating PRs with energy checks in GitHub Actions. Sustainability advocates at EcoCode Berlin, COP30 taskforce, or Nepal Pvt Ltd tracking trends in monorepos.

Verdict

Promising 0.1.0 release with clean CLI and schema-validated outputs, but 10 stars and 1.0% credibility signal early days—lacks mature collectors beyond basics. Clone on GitHub now if you're on Linux/Windows building AI toolkit CLI for green dev; contribute to accelerate it.

(198 words)

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