werx 0.2.0

A high-performance Python package for calculating Word Error Rate (WER), powered by Rust.

⚡Lightning fast Word Error Rate Calculations

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What is WERx?

WERx is a high-performance Python package for calculating Word Error Rate (WER), built with Rust for unmatched speed, memory efficiency, and stability. WERx delivers accurate results with exceptional performance, making it ideal for large-scale evaluation tasks.

🚀 Why Use WERx?

⚡ Blazing Fast: Rust-powered core delivers outstanding performance, optimized for large datasets

🧩 Robust: Designed to handle edge cases gracefully, including empty strings and mismatched sequences

📐 Accurate: Carefully tested to ensure consistent and reliable results

🛡️ Production-Ready: Minimal dependencies, memory-efficient, and engineered for stability

⚙️ Installation

You can install WERx either with 'uv' or 'pip'.

Using uv (recommended):

uv pip install werx

Using pip:

pip install werx

✨ Usage

Import the WERx package

Python Code:

import werx

Examples:

1. Single sentence comparison

Python Code:

wer = werx.wer('i love cold pizza', 'i love pizza')
print(wer)

Results Output:

0.25

2. Corpus level Word Error Rate Calculation

Python Code:

ref = ['i love cold pizza','the sugar bear character was popular']
hyp = ['i love pizza','the sugar bare character was popular']
wer = werx.wer(ref, hyp)
print(wer)

Results Output:

0.2

3. Weighted Word Error Rate Calculation (Custom Weights)

Python Code:

ref = ['i love cold pizza', 'the sugar bear character was popular']
hyp = ['i love pizza', 'the sugar bare character was popular']

# Apply lower weight to insertions and deletions, standard weight for substitutions
wer = werx.weighted_wer(
    ref, 
    hyp, 
    insertion_weight=0.5, 
    deletion_weight=0.5, 
    substitution_weight=1.0
)
print(wer)

Results Output:

0.15

📄 License

This project is licensed under the Apache License 2.0.