life4/textdistance 源码下载与部署教程

项目概述

📐 Compute distance between sequences. 30+ algorithms, pure python implementation, common interface, optional external libs usage.

项目地址

https://github.com/life4/textdistance

项目页面预览

关键指标

• Stars：3510
• 主要语言：Python
• License：MIT License
• 最近更新：2025-04-18T12:13:17Z
• 默认分支：master

本站高速下载（国内可用）

点击下载（本站镜像）
– SHA256：54725fe98c6a6aa64742ffa15fde614cb680cdfe7b3bfa3be77b01731a44a2d4

安装部署要点（README 精选）

Installation

Usage

All algorithms have 2 interfaces:

1. Class with algorithm-specific params for customizing.
2. Class instance with default params for quick and simple usage.

All algorithms have some common methods:

1. .distance(*sequences) — calculate distance between sequences.
2. .similarity(*sequences) — calculate similarity for sequences.
3. .maximum(*sequences) — maximum possible value for distance and similarity. For any sequence: distance + similarity == maximum.
4. .normalized_distance(*sequences) — normalized distance between sequences. The return value is a float between 0 and 1, where 0 means equal, and 1 totally different.
5. .normalized_similarity(*sequences) — normalized similarity for sequences. The return value is a float between 0 and 1, where 0 means totally different, and 1 equal.

Most common init arguments:

1. qval — q-value for split sequences into q-grams. Possible values:
   • 1 (default) — compare sequences by chars.
   • 2 or more — transform sequences to q-grams.
   • None — split sequences by words.
2. as_set — for token-based algorithms:
   • True — t and ttt is equal.
   • False (default) — t and ttt is different.

Running tests

All you need is task. See Taskfile.yml for the list of available commands. For example, to run tests including third-party libraries usage, execute task pytest-external:run.

常用命令（从 README 提取）

pip install textdistance

pip install "textdistance[extras]"

pip install "textdistance[benchmark]"

通用部署说明

1. 下载源码并阅读 README
2. 安装依赖（pip/npm/yarn 等）
3. 配置环境变量（API Key、模型路径、数据库等）
4. 启动服务并测试访问
5. 上线建议：Nginx 反代 + HTTPS + 进程守护（systemd / pm2）

免责声明与版权说明

本文仅做开源项目整理与教程索引，源码版权归原作者所有，请遵循对应 License 合规使用。