From Python source
to native speed

Pyvorin fits into your existing workflow. Install the thin client, submit your code, and get compiled binaries with honest performance measurements — usually in under 10 minutes.

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1 Install the Thin Client

One command to get started

Install the Pyvorin thin client via pip. It's a lightweight CLI tool that lives alongside your existing Python toolchain. No containers, no heavy dependencies.

$ pip install pyvorin-client

The thin client supports Python 3.9+ on Linux, macOS, and Windows (WSL).

Installs in under 30 seconds
Auto-detects project structure
Requires no code changes
SHA-256 hash verification
Organisation-scoped isolation
Max bundle size: 50 MB
2 Submit a Compile Job

Point, shoot, compile

Run pyvorin submit from your project directory. The thin client bundles your source code, requirements, and metadata into a secure package and uploads it to the Pyvorin compiler.

$ pyvorin submit --version 3.11

You can also submit jobs via the REST API or directly from the dashboard.

3 Run Honest Benchmarks

Measure what matters

Once compilation succeeds, Pyvorin runs your workload against the original CPython baseline. We measure median execution time, p95 latency, compile time, and steady-state performance. Every result is validated for correctness.

  • • Correctness checks ensure compiled output matches baseline
  • • Warm-up runs discard JIT startup effects
  • • Hardware environment fully disclosed
Median & p95 reported
Steady-state validation
Full methodology disclosure
Your assumptions, your numbers
Monthly & annual estimates
Clear disclaimer on every report
4 Measure Your ROI

Build the business case

Use your real compute costs and run frequency to generate an ROI report. Pyvorin calculates estimated savings based on your benchmark results and assumptions — with a clear label that these are projections, not guarantees.

  • • Input your hourly compute cost and run frequency
  • • Select benchmarks to include in the report
  • • Share the report with stakeholders or finance

Common questions

Does Pyvorin modify my source code?

No. Pyvorin compiles your Python code to native machine code. Your original source remains unchanged. The compiled artifact is a separate binary that you can deploy alongside or instead of your Python interpreter.

What Python versions are supported?

Currently Python 3.9, 3.10, 3.11, and 3.12. We target Linux x86_64 and ARM64 primarily. macOS and Windows support is on the roadmap.

How long does compilation take?

Most jobs complete in 2–5 minutes. Larger codebases or complex dependency trees may take up to 15 minutes. You'll see real-time status updates in the dashboard.

Is my code safe?

Source bundles are isolated per organisation, stored encrypted at rest, and automatically deleted after the retention period. We never share your code with third parties. See our security page for full details.

Start measuring real speedups today

7-day free trial. No credit card required. Submit your first job and get benchmark results in minutes.

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