Getting Started
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Benchmarks
Learn how to run and interpret Pyvorin benchmarks to measure compiler performance improvements across your workloads.
Published May 10, 2026
Benchmarks
Pyvorin benchmarks let you measure how much faster your Python workloads run after compilation.
Running a Benchmark
Use the CLI to benchmark your project:
pyvorin benchmark /path/to/projectInterpreting Results
Each benchmark shows a speedup factor — how many times faster the compiled code runs compared to standard Python. A speedup of 2.5x means your workload completes in 40% of the original time.
Savings Reports
Combine multiple benchmarks into a savings report to estimate your monthly and annual compute cost reductions.