Python’s global interpreter lock (GIL) and dynamic typing make it 10–100x slower than compiled languages for CPU-bound workloads. In 2024 benchmarks, a naive Python 3.12 matrix multiplication function took 12.7 seconds to process 1000x1000 float arrays, while a Cython 3-optimized version ran in 1.4 seconds, and a Rust 1.85 binding dropped that to 0.89 seconds — a 14.3x speedup over pure Python, with zero Python code changes for the Rust path.

🔴 Live Ecosystem Stats

⭐ rust-lang/rust — 112,466 stars, 14,875 forks

⭐ python/cpython — 72,543 stars, 34,529 forks

Data pulled live from GitHub and npm.

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