LSTM_langid VS lingua-go

Compare LSTM_langid vs lingua-go and see what are their differences.

Our great sponsors
  • InfluxDB - Power Real-Time Data Analytics at Scale
  • WorkOS - The modern identity platform for B2B SaaS
  • SaaSHub - Software Alternatives and Reviews
LSTM_langid lingua-go
1 7
29 1,095
- -
1.8 5.3
about 3 years ago 15 days ago
Jupyter Notebook Go
MIT License Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

LSTM_langid

Posts with mentions or reviews of LSTM_langid. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-02-11.

lingua-go

Posts with mentions or reviews of lingua-go. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-02-12.

What are some alternatives?

When comparing LSTM_langid and lingua-go you can also consider the following projects:

lingua-py - The most accurate natural language detection library for Python, suitable for short text and mixed-language text

language-detection-cld2 - Natural language detection, Java bindings for CLD2

cld3

cld2 - Compact Language Detector 2

Glyph - An architecture independent binary analysis tool for fingerprinting functions through NLP

blake3-6502 - the BLAKE3 hash function implemented in 6502 assembly

whatlanggo - Natural language detection library for Go

dictpress - A stand-alone web server application for building and publishing full fledged dictionary websites and APIs for any language.

lingo - package lingo provides the data structures and algorithms required for natural language processing