Security News
PyPI’s New Archival Feature Closes a Major Security Gap
PyPI now allows maintainers to archive projects, improving security and helping users make informed decisions about their dependencies.
This package serves as a wrapper for the most performant text language identifier.
Currently it wraps fasttext (NLLB version).
Before detecting the language, it preprocesses the text to improve results.
%pip install textlangid
import textlangid
lang = textlangid.detect("This is some text.")
top_languages = TextLanguageIdentifier.detect(text, top_k=3)
top_languages_with_confidence = TextLanguageIdentifier.detect(
text, top_k=3, return_confidence=True
)
top_languages_with_threshold = TextLanguageIdentifier.detect(
text, top_k=3, return_confidence=True, confidence_threshold=0.2
)
The language is returned in a FLORES-200 language code. Full list available here.
FAQs
Detects the language of text
We found that textlangid demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Security News
PyPI now allows maintainers to archive projects, improving security and helping users make informed decisions about their dependencies.
Research
Security News
Malicious npm package postcss-optimizer delivers BeaverTail malware, targeting developer systems; similarities to past campaigns suggest a North Korean connection.
Security News
CISA's KEV data is now on GitHub, offering easier access, API integration, commit history tracking, and automated updates for security teams and researchers.