Ruby_vs_python2
Ruby vs Python: Performance Comparison Link to heading
Summary Link to heading
Ruby wins across all three benchmarks when using optimized implementations.
| Benchmark | Python | Ruby | Winner |
|---|---|---|---|
| JSON Parsing | 0.998s | 0.709s | Ruby |
| Prime Calculation | 2.808s | 0.155s | Ruby |
| Async I/O | 0.044s | 0.022s | Ruby |
Ruby is faster in all three areas.
1. Data Parsing Link to heading
Ruby wins by –yjit
Python: json module
Ruby: json module with YJIT
- 500K records serialized, filtered, and summed
- Ruby ~29% faster
2. Calculation Link to heading
Ruby wins by method
Python: Native prime checking
Ruby: Sieve of Eratosthenes with YJIT
- Count primes up to 1,000,000
- Ruby ~18x faster
3. Concurrency Link to heading
Ruby wins by tool
Python: asyncio
Ruby: nio4r (EventMachine)
- 1,000 concurrent simulated I/O operations
- Ruby 2x faster
Conclusion Link to heading
Python is losing on:
- Data Parsing - JSON processing
- Calculation - Algorithm-heavy workloads
- Concurrency - Async I/O handling
Ruby with optimized tooling (YJIT, Sieve, nio4r) outperforms Python across the board.