EcoOptimizers is a VS Code extension that detects and refactors inefficient Python code, reducing unnecessary computations and lowering CO₂ emissions. By identifying common code smells and providing automated refactoring suggestions, EcoOptimizers helps you write cleaner, more efficient, and environmentally friendly code.
Features
Detect Code Smells – Automatically analyze your Python code to find inefficiencies.
Refactor Code Smells – Get instant suggestions and apply refactorings with ease.
Reduce CO₂ Emissions – Improve computational efficiency and contribute to a greener future.
Seamless VS Code Integration – Analyze and optimize your code directly within the editor.
Supported Code Smells
EcoOptimizers detects and refactors the following common code smells:
Cache Repeated Calls – Identifies functions that repeatedly compute the same result and suggests caching techniques.
Long Lambda Functions – Flags excessively long lambda expressions and converts them into named functions for readability and maintainability.
Use A Generator – Suggests using generators instead of list comprehensions for memory efficiency.
Long Element Chain – Detects deeply nested attribute accesses and recommends breaking them into intermediate variables for clarity.
Member Ignoring Method – Identifies methods that do not use their class members and suggests converting them into static methods or external functions.
Long Message Chains – Finds excessive method chaining and refactors them for better readability.
String Concatenation in Loop – Detects inefficient string concatenation inside loops and suggests using lists or other optimized methods.
Long Parameter List – Flags functions with too many parameters and suggests refactoring strategies such as grouping related parameters into objects.
How It Works
Detect Smells – Run the EcoOptimizers analysis tool to scan your code for inefficiencies.
Refactor Suggestions – View recommended changes and apply them with a click.
Optimize Your Code – Enjoy cleaner, more efficient Python code with reduced computational overhead.
