GreenCodeAnalyzer

GreenCodeAnalyzer is a static code analysis tool that identifies energy-inefficient patterns in Python code and suggests optimizations to improve energy consumption. By shifting energy efficiency concerns "left" (earlier) in the development process, developers can make more sustainable coding decisions from the start.

You can find a more detailed report of GreenCodeAnalyzer in this website.

Features

Static Energy Analysis: Analyzes Python code without execution to detect potential energy hotspots
Visual Code Annotations: Provides visual feedback with highlighted energy smells in the editor
Optimization Suggestions: Offers specific recommendations to make your code more energy-efficient
Multiple Rule Detection: Covers various energy-inefficient patterns common in data science and ML code

Supported Rules

The extension currently detects these energy code smells:

Rule	Description	Impact
`batch_matrix_multiplication`	Sequential matrix multiplications instead of batched operations	Missed hardware acceleration opportunities
`blocking_data_loader`	Prevent using data loading strategies that stall GPU execution	The GPU may remain idle while waiting for data
`broadcasting`	Inefficient tensor operations that could use broadcasting	Unnecessary memory allocations
`calculating_gradients`	Computing gradients when not needed for training	Unnecessary computation overhead
`chain_indexing`	Chained Pandas DataFrame indexing operations	Extra intermediate objects creation
`conditional_operations`	Element-wise conditional operations in loops	Inefficient branching and repeated calculations
`data_parallelization`	Usage of torch.nn.DataParallel detected	Less efficient than DistributedDataParallel
`element_wise_operations`	Element-wise operations in loops	Inefficient iteration instead of vectorized operations
`excessive_gpu_transfers`	Frequent CPU-GPU tensor transfers	High data movement overhead
`excessive_training`	Training loops without early stopping mechanisms	Wasted computation after model convergence
`filter_operations`	Manual filtering in loops instead of vectorized operations	Increased CPU workload
`ignoring_inplace_ops`	Operations that could use in-place variants	Unnecessary memory allocations
`inefficient_caching_of_common_arrays`	Recreating identical arrays inside loops	Redundant memory and CPU usage
`inefficient_data_loader_transfer`	DataLoader transfer to GPU without pin_memory	Increased data transfer time
`inefficient_df_joins`	Repeated merges or merges without DataFrame indexing	High memory usage and increased computation time
`inefficient_iterrows`	Inefficient row-by-row Pandas iterations	Python overhead for operations
`large_batch_size_causing_memory_swapping`	Batch sizes causing memory swapping	Excessive disk I/O and system slowdown
`recomputing_group_by`	Repetitive group by operations on the same data	Redundant computation and memory usage
`reduction_operations`	Manual reduction operations using loops	Missed vectorization opportunities
`redundant_model_refitting`	Redundant retraining of models with unchanged data	Wasteful recalculation

Requirements

Python 3.10 or higher
VS Code

Usage

Open a Python file in VS Code
Run the command GreenCodeAnalyzer: Run Analyzer from the Command Palette (Ctrl+Shift+P)
The tool will analyze your code and display results with:
- Colored gutter icons indicating energy smells based on severity
- Detailed hover information with rule descriptions and optimization suggestions

To clear annotations, run the command GreenCodeAnalyzer: Clear Gutters from the Command Palette.

Known Issues

The extension only works with Python files
Some rules may produce false positives depending on the context of your code

Release Notes

0.0.1

Initial release with 8 energy efficiency rules
Support for Python data science and machine learning code analysis
Visual indicators for energy code smells in the editor

1.0.0

Expand to 20 energy efficiency rules
Bug fixes

1.1.0

Fix bugs and improve rule detection logic
Add progress message during analysis

How It Works

GreenCodeAnalyzer parses Python code into an Abstract Syntax Tree (AST) and applies predefined rules to identify inefficient patterns. The results are then visualized in the editor with colored indicators and hover information containing optimization suggestions.

GreenCodeAnalyzer

SSE Group 1

GreenCodeAnalyzer

Features

Supported Rules

Requirements

Usage

Known Issues

Release Notes

0.0.1

1.0.0

1.1.0

How It Works