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SPEED CENTER

Changes

Track performance changes in the latest revisions

Timeline

Analyze performance over time

Comparison

Compare different executables and revisions


How fast is PyPy?

Plot 1: The above plot represents PyPy trunk (with JIT) benchmark times normalized to CPython. Smaller is better.

It depends greatly on the type of task being performed. The geometric average of all benchmarks is or times faster than CPython

How has PyPy performance evolved over time?

Plot 2: Geometric averages of normalized times, out of benchmarks. Smaller is better. "times faster" inside parenthesis

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