scalene

Overview

Scalene is a CPU, GPU, and memory profiler for Python that measures code performance with per-line granularity. It identifies bottlenecks across processor types and memory usage, then suggests optimizations based on profiling data.

Best for

Best for
Python developers optimizing computationally intensive or memory-heavy applications who need precise per-line performance visibility.

Use cases

• Identify which lines consume most CPU or GPU time in data processing scripts
• Detect memory leaks and excessive allocation in long-running applications
• Compare performance across CPU vs GPU execution paths

Notes

Scalene is a CPU, GPU, and memory profiler for Python that measures code performance with per-line granularity. It identifies bottlenecks across processor types and memory usage, then suggests optimizations based on profiling data.

13,436 stars on GitHub. Last updated 2026-05-31. Licensed Apache-2.0.

Use cases

• Identify which lines consume most CPU or GPU time in data processing scripts
• Detect memory leaks and excessive allocation in long-running applications
• Compare performance across CPU vs GPU execution paths

Pros

• Profiles CPU, GPU, and memory in a single tool without heavy instrumentation overhead
• Line-level granularity shows exactly where time and memory are spent
• Active open source project with 13k+ stars and community support

Cons

• Python-only, cannot profile code in other languages or system libraries written in C
• Optimization suggestions depend on profiling data quality and may require manual interpretation
• GPU profiling support varies by hardware and CUDA availability

Indexed from awesome-llmops and enriched against its public facts.