ProX Programming Language (ProXPL) is a modern, Indian-origin programming language designed for speed, simplicity, and professional-grade development. It combines Python-like readability with C-level performance, focusing on clean syntax, scalable systems, and a growing native ecosystem. - ProgrammerKR/ProXPL
No reviews yetBe the first to leave a review for ProX Programming Language (ProXPL)
How does the performance actually hold up in real-world benchmarks against something like Go or Rust, especially for I/O-heavy workloads?
Report
Maker
@aliyen4vq Thanks for the great question! ProXPL is still evolving, so I don't want to overclaim. Current benchmarks have focused mainly on compute-heavy workloads and show promising results. Comprehensive real-world comparisons with Go and Rust—especially for I/O-heavy workloads like networking, file systems, and concurrent servers—are part of the roadmap. I'll publish transparent benchmark results as they become available.
Feedback like this helps prioritize them!
Report
Maker
@aliyen4vq Thanks for your interest! If you'd like to evaluate ProXPL yourself, you can clone the repository and run the benchmarks locally. The repository includes a benchmarks/ directory with benchmark code, along with a run_benchmarks.py script that automates the tests. After running it, I'd love to hear your benchmark results and feedback. If you notice anything that can be improved, please let me know—your feedback will help make ProXPL even better.
Report
The syntax feels really clean and easy on the eyes, almost like writing pseudocode that actually runs. Curious to see how the performance holds up on heavier projects though.
Report
Maker
@gnlj0bp Thank you! Clean, readable syntax has been one of the main goals of ProXPL. The next focus is scaling that experience to larger projects while continuing to optimize performance, tooling, and the ecosystem. I'll be sharing more benchmarks and real-world project examples as the language matures.
Report
Tried ProXPL on a quick sorting script and was honestly surprised by how close it feels to Python while still running fast. The syntax is clean and the docs are readable, looking forward to seeing the ecosystem grow.
How does the performance actually hold up in real-world benchmarks against something like Go or Rust, especially for I/O-heavy workloads?
@aliyen4vq Thanks for your interest! If you'd like to evaluate ProXPL yourself, you can clone the repository and run the benchmarks locally. The repository includes a benchmarks/ directory with benchmark code, along with a run_benchmarks.py script that automates the tests. After running it, I'd love to hear your benchmark results and feedback. If you notice anything that can be improved, please let me know—your feedback will help make ProXPL even better.
The syntax feels really clean and easy on the eyes, almost like writing pseudocode that actually runs. Curious to see how the performance holds up on heavier projects though.
Tried ProXPL on a quick sorting script and was honestly surprised by how close it feels to Python while still running fast. The syntax is clean and the docs are readable, looking forward to seeing the ecosystem grow.