lindera VS bytepiece-rs

Compare lindera vs bytepiece-rs and see what are their differences.

lindera

A multilingual morphological analysis library. (by lindera-morphology)

bytepiece-rs

The Bytepiece Tokenizer Implemented in Rust. (by hscspring)
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lindera bytepiece-rs
1 1
351 14
1.4% -
8.4 7.4
8 days ago 5 months ago
Rust Rust
MIT License -
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.

lindera

Posts with mentions or reviews of lindera. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-02-08.

bytepiece-rs

Posts with mentions or reviews of bytepiece-rs. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-09-25.

What are some alternatives?

When comparing lindera and bytepiece-rs you can also consider the following projects:

tinysearch - 🔍 Tiny, full-text search engine for static websites built with Rust and Wasm

tiktoken-rs - Ready-made tokenizer library for working with GPT and tiktoken

segment - Segment analytics client for Rust https://segment.com/docs/libraries/rust

nlpo3 - Thai Natural Language Processing library in Rust, with Python and Node bindings.

documentation - Meilisearch documentation

bytepiece - 更纯粹、更高压缩率的Tokenizer

pass3d - 3D object recognition CLI tool for Linux

wasi-libc - WASI libc implementation for WebAssembly

html5gum - A WHATWG-compliant HTML5 tokenizer and tag soup parser

MeiliSearch - A lightning-fast search API that fits effortlessly into your apps, websites, and workflow

tokenizers - 💥 Fast State-of-the-Art Tokenizers optimized for Research and Production