Skip to main content

A CLI tool for programming language speed benchmarks

Project description

Velocicode 🚀

Velocicode is a high-performance command-line tool for benchmarking programming language speeds. It allows you to run standard algorithms across multiple languages and compare their execution time with professional, interactive reports.

Features ✨

  • Multi-Language Support: Benchmarks Python, C++, Rust, Go, JavaScript (Node.js), Java, and C# (.NET).
  • Standard Algorithms:
    • fibonacci (Recursion intensity)
    • matrix_mul (Floating point & Cache)
    • quicksort (Memory & Sorting)
    • primes (Sieve of Eratosthenes)
  • Smart Execution:
    • System Info: Auto-detects your CPU, RAM, and OS.
    • Dependency Check: Automatically checks for compilers and skips missing languages.
  • Premium UI:
    • Beautiful terminal output using the Rich library.
    • Rankings with Medals (🥇 🥈 🥉).
    • Relative Speed comparisons (e.g., 1.00x vs 45.9x).
  • Data Export:
    • JSON: Raw data export for analysis.
    • HTML: Interactive reports with Charts for presentations.

Installation

pip install velocicode

Usage

1. Run Benchmarks

Run all benchmarks with default settings:

velocicode run

The tool will display your system information and check if you have the necessary compilers. If some are missing, it will ask if you want to proceed with the available ones.

Filter by specific algorithm or language:

# Run only Matrix Multiplication in Rust and Go
velocicode run --filter-algo matrix_mul --filter-lang rust,go

2. Generate Reports 📊

Export results to JSON or generate a visual HTML report:

velocicode run --html report.html --json results.json

Open report.html in your browser to see interactive bar charts!

3. Check Compilers

Velocicode relies on system compilers. Check what you have installed:

velocicode check

Requirements

[!IMPORTANT] This tool requires external compilers. pip installs the runner, but you need the languages installed:

  • Python 3.7+
  • g++ (for C++)
  • rustc (for Rust)
  • go (for Go)
  • node (for JavaScript)
  • javac (for Java - JDK required, e.g. java-latest-openjdk-devel)
  • dotnet (for C#)

License

MIT

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

velocicode-0.6.2.tar.gz (17.2 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

velocicode-0.6.2-py3-none-any.whl (26.5 kB view details)

Uploaded Python 3

File details

Details for the file velocicode-0.6.2.tar.gz.

File metadata

  • Download URL: velocicode-0.6.2.tar.gz
  • Upload date:
  • Size: 17.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for velocicode-0.6.2.tar.gz
Algorithm Hash digest
SHA256 44e9296f6a2ed7133061cad7d140761c859e81ecf2c27a5ff8081dd9bbb02269
MD5 ed152209c1de25b4283ee60ffa9ab5d9
BLAKE2b-256 91d8c367f9616fde25a60dc09a3fe295df564b604766eec5e8932fc8040c44da

See more details on using hashes here.

File details

Details for the file velocicode-0.6.2-py3-none-any.whl.

File metadata

  • Download URL: velocicode-0.6.2-py3-none-any.whl
  • Upload date:
  • Size: 26.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for velocicode-0.6.2-py3-none-any.whl
Algorithm Hash digest
SHA256 ad7ee348abedcd9e4628f1e9063ccc2f4f939f14290a762ace926d61239117e5
MD5 546e725367e22d4bfb548fd4155e3006
BLAKE2b-256 fd99452d37819da1fd75d7961236542cc9942950e1b09b6cd5ddfe0b2b10f0ba

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page