pathwaycom/pathway 源码下载与部署教程

项目概述

Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.

项目地址

https://github.com/pathwaycom/pathway

项目页面预览

关键指标

• Stars：56958
• 主要语言：Python
• License：Other
• 最近更新：2026-01-14T14:54:57Z
• 默认分支：main

本站高速下载（国内可用）

• 源码压缩包下载：点击下载（本站镜像）
• SHA256：b2c8af1d0f360978bae2f8f7179edc1daad2db6e8896ea130880ca1c4595bf11

安装部署要点（README 精选）

Getting started

Installation

Pathway requires Python 3.10 or above.

You can install the current release of Pathway using pip:

$ pip install -U pathway

⚠️ Pathway is available on MacOS and Linux. Users of other systems should run Pathway on a Virtual Machine.

Deployment

Locally

To use Pathway, you only need to import it:

import pathway as pw

Now, you can easily create your processing pipeline, and let Pathway handle the updates. Once your pipeline is created, you can launch the computation on streaming data with a one-line command:

pw.run()

You can then run your Pathway project (say, main.py) just like a normal Python script: $ python main.py.
Pathway comes with a monitoring dashboard that allows you to keep track of the number of messages sent by each connector and the latency of the system. The dashboard also includes log messages.

Alternatively, you can use the pathway’ish version:

$ pathway spawn python main.py

Pathway natively supports multithreading.
To launch your application with 3 threads, you can do as follows:

$ pathway spawn --threads 3 python main.py

To jumpstart a Pathway project, you can use our cookiecutter template.

常用命令（从 README 提取）

pip install -U pathway

$ pip install -U pathway

$ pathway spawn python main.py

通用部署说明（适用于大多数项目）

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）

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