analyticsinmotion/werx

🐍📦 Easy-to-use Python package for lightning-fast Word Error Rate (WER) analysis

49
/ 100
Emerging

Powered by a Rust core, WERx delivers exceptional performance—processing ~907,000 utterances per second on LibriSpeech benchmarks with minimal memory overhead. Beyond standard WER metrics, it provides detailed word-level error breakdowns (insertions, deletions, substitutions) with customizable error weights, and integrates seamlessly with Pandas and Polars for downstream analysis. Designed for production use with minimal dependencies, it handles edge cases gracefully while supporting both single-sentence and corpus-level evaluations.

Used by 1 other package. Available on PyPI.

Maintenance 13 / 25
Adoption 10 / 25
Maturity 18 / 25
Community 8 / 25

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Stars

8

Forks

1

Language

Python

License

Apache-2.0

Last pushed

Mar 11, 2026

Monthly downloads

164

Commits (30d)

0

Reverse dependents

1

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