werpy and pywer

These tools are competitors, with Werpy being a more performant and feature-rich option for scalable WER calculation compared to pywer's simpler approach.

werpy

Established

pywer

Emerging

Maintenance 13/25

Adoption 7/25

Maturity 25/25

Community 16/25

Maintenance 0/25

Adoption 6/25

Maturity 25/25

Community 0/25

Stars: 23

Forks: 6

Downloads: —

Commits (30d): 0

Language: Python

License: BSD-3-Clause

Stars: 5

Forks: —

Downloads: —

Commits (30d): 0

Language: Python

License: MIT

No risk flags

Stale 6m

About werpy

analyticsinmotion/werpy

🐍📦 Ultra-fast Python package for calculating and analyzing the Word Error Rate (WER). Built for the scalable evaluation of speech and transcription accuracy.

This tool helps you quickly and accurately measure how well a spoken phrase has been converted into written text, or how similar two pieces of text are. By comparing a "reference" (the correct text) to a "hypothesis" (the transcribed or predicted text), it calculates the Word Error Rate (WER) and shows you exactly where mistakes like insertions, deletions, or substitutions occurred. It's designed for speech-to-text engineers, transcription quality analysts, and researchers evaluating text generation systems.

speech-to-text-evaluation transcription-quality-assurance natural-language-processing voice-ai-development text-accuracy-analysis

About pywer

jumon/pywer

A simple Python package to calculate word error rate (WER).

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