This project benchmarks the performance of different programming languages by implementing common algorithms in each. The focus is on providing a comparative analysis of execution speed and resource consumption. The benchmarks aim for fair comparisons by utilizing idiomatic implementations and standardized data structures.
The project offers a comprehensive and consistent benchmarking framework across a wide array of languages, including C#, Scala, Racket, and Go. It emphasizes reproducible results through careful control of experimental conditions and the use of a standardized benchmarking environment. The data is presented in a straightforward manner, facilitating easy comparison of language performance.
- Core Functionality: Measures execution time, memory consumption, and energy consumption for various algorithms.
- Supported Platforms: Designed to run on various platforms, leveraging different interpreters and compilers.
- Configuration/Extensibility: The benchmark tests are defined in a structured manner, facilitating the addition of new algorithms and languages.
- Performance/Scalability: Provides detailed performance metrics, including median and standard deviation, for each language and algorithm.
- Developer Experience: Simple to run locally with Docker, providing reproducibility and ease of setup.
The project appears to be actively maintained, with recent commits and a growing number of language benchmarks. The README provides clear instructions for execution and contribution. While the number of languages tested is substantial, the benchmark suite is still evolving.
This repository is useful for developers seeking to compare the performance of different programming languages for specific tasks. It provides valuable insights into the performance characteristics of various languages, especially for algorithmic implementations. It's a suitable resource for performance analysis and language selection.