Real Workloads.
Real Results.
From data processing to machine learning, Pyvorin delivers measurable speedups across a wide range of Python workloads.
Measured · 2026-09-13 Geometric-mean speedup vs CPython 3.12.3 across 30 deterministic synthetic workloads in five categories (this host, 12 cores; median of 10 runs after 3 warmups; bar height ∝ √speedup). Every workload includes data generation in the timed region and must match CPython output exactly to count. Native-code coverage: ETL 83% · ML 100% · DS 83% · Web 83% · Aggregations 100% - uncovered workloads run through Pyvorin's CPython-compatible fallback (≈1x). The Mutable State bar is the dict write-back suite, measured 2026-09-09. The headline figure on our homepage (71 workloads, geometric mean 3.16x, wins and losses side by side) comes from the full engineering suite, documented alongside its methodology at docs.pyvorin.com/benchmarks. Raw results (JSON) · per-category summary · mutable-state (dict write-back) suite.
Benchmarks you can trust.
Every published result ships with the workload source, dataset size, hardware specification, run count, median and p95, and a correctness check proving Pyvorin output matches CPython exactly. No cherry-picking, no mystery numbers.
| Workload | Category | Type | Status | Speedup |
|---|---|---|---|---|
| 30-workload morphic suite (6 per category) | All categories | Synthetic · deterministic | Measured 2026-09-13 | 2.59x geomean (0.17x-820x) |
| ETL / data processing | Data Engineering | Synthetic | Measured 2026-09-13 | 2.0x geomean · 83% native |
| ML kernels (k-means, softmax, regression…) | Machine Learning | Synthetic | Measured 2026-09-13 | 3.3x geomean · 100% native |
| Numeric analytics (stats, rolling, percentiles) | Data Science | Synthetic | Measured 2026-09-13 | 3.3x geomean · 83% native |
| String/dict-heavy service patterns | Web Services | Synthetic | Measured 2026-09-13 | 0.6x geomean · 83% native |
| Aggregations (sums, group-totals, multi-reduce) | Aggregations | Synthetic | Measured 2026-09-13 | 9.0x geomean · 100% native |
| Stateful dict write-back (scoring, ledger posting, revaluation, session decay, event rollup, RMW balance adjustment) | Mutable State | Synthetic | Measured 2026-09-09 | 1.8x geomean · 100% native · 1.5x additional lift from the fused dict bridge |
Don’t take our word for it. Measure it.
The trial includes pyvorin bench - run it against your own code and see your own numbers.