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项目能做什么

Quant-UX 原型设计、测试与学习平台。
来源:基于仓库元数据 · 内容以仓库实际 README 为准

使用说明 查看原始 README 原仓库文档

中文使用说明暂未生成。下面保留原仓库 README 摘录,命令与配置均以原文为准。
原始 README 摘录(英文原文,节选前 3000 字符)
[![Docker Image Build and Push to Dockerhub - CI/CD](https://github.com/KlausSchaefers/quant-ux/actions/workflows/docker.yml/badge.svg)](https://github.com/KlausSchaefers/quant-ux/actions/workflows/docker.yml)

# Quant-UX - Prototype, Test and Learn

Quant UX is a research, usability and prototyping tool to quickly test your designs and get data driven insights. 
This repo contains the front end. You can find a working demo at https://quant-ux.com/#/

![Alt text](docs/release.png?raw=true "Quant-UX preview")

## Development setup
### Prerequisite
```
npm install
```


### Running Locally on the Host Machine

#### Compiles and hot-reloads for development
```
npm run serve
```

#### Compiles and minifies for production
```
npm run build
```

#### Run your unit tests
```
npm run test:unit
```

#### Lints and fixes files
```
npm run lint
```

### Developing inside a Docker Container
If you wish to develop by running the service exclusively through Docker, you can build a development image using:
```bash
make build-dev
```
This will create a Docker Image tagged under `quant-ux`. You can then replace the `klausenschaefersinho/quant-ux` inside your docker-compose file with the newly build `quant-ux` image. Don't forget to mount the source code after replacing the image.

If you're using the provided `docker/docker-compose.yml`, you can simply add the following volume mount to the qux-fe service:
```yml
    volumes:
      - ../src:/home/node/src
```

You can then make use of the following Makefile rules for quick docker environment setup and teardown:
```bash
# docker compose up - targets docker/docker-compose.yml
make up

# docker compose down - targets docker/docker-compose.yml
make down
```

# Installation

The easiest way to get your own installation up and running is using the prebuild Docker images by [Brian McGonagill](https://github.com/bmcgonag).  You can find the repo and instructions at https://github.com/bmcgonag/quant-ux-docker/


## Manual Installation

Quant-UX has two components. A front-end (this package) and a backend (qux-java). The front-end needs Node.js (> 12) installed. The backend needs a Mongo DB, a Mail Server (SMTP) and Java (> 1.8). The front-end comes with it's own mini web server, which also include a proxy that redirects all request to the correct backend.

## Docker

The easiest way to get your own Quant-UX installation running is using the Docker images. 

1) Create a docker compose file (`docker-compose.yaml`) and set the environment variables.

```yaml
version: '3'

services:
  mongo:
    restart: always
    container_name: quant-ux-mongo
    image: mongo
    volumes:
      - ./data:/data/db        # pth for the data to be stored and kept on your host machine is on the left side of the ":"
  qux-fe:
    restart: always
    container_name: quant-ux-frontend
    image: klausenschaefersinho/quant-ux
    environment:
      - QUX_PROXY_URL=http://quant-ux-backend:8080        # this is the path the front end uses to talk to t
阅读完整原文

项目深度分析 规则生成(AI 未配置)

综合评分 46.4 分。该项目在“个人可实施性”维度得 60 分,“付费可能性”维度得 20.0 分,差异化空间 70.0 分(评分依据见评分卡)。

面向细分需求的二次开发产品

产品构想基于 quant-ux 的核心能力,聚焦一个更窄的场景(如某平台、某行业)做差异化。
目标用户该细分场景用户
难度/周期中 · 2~6 周
收费模式买断制 / 订阅制 / 广告
竞争风险细分需求规模需验证
依据 AI 推测:基于项目主题标签的判断
以上为规则引擎基于仓库公开数据生成的参考结论,包含推测成分,不构成投资或创业承诺;配置 AI 后可获得更深入的分析。
报告会保存到 个人中心

竞品与相似项目 GitHub Search 真实检索

项目中文简介Stars语言
KlausSchaefers/vue-low-code 中文介绍暂未生成
Quant-UX standalone
388 JavaScript
bmcgonag/quant-ux-docker 中文介绍暂未生成
Dockerized Quant-UX Prototyping Tool
67 Dockerfile
KlausSchaefers/quant-ux-cli 中文介绍暂未生成
Turn your prototypes into VUE code
44 JavaScript
KlausSchaefers/qux-java 中文介绍暂未生成
Quant-UX Java Backend
36 JavaScript
KlausSchaefers/qux-low-code-example 中文介绍暂未生成
Example for Quant-UX standalone
5 Vue
以上为通过 GitHub 官方 Search API 检索的相似项目,功能差异与优劣势需进一步人工确认,配置 AI 后可生成对比分析。

项目优势与风险

技术成熟度创建时间待补全,最近推送
社区活跃Star 2,758 / Fork 0 / Issue 0(数据支持,可自行核实)
许可证未检测到(需人工确认)
主要风险上游项目方向可能变化;同赛道竞争者较多(见竞品表);热度与需求不完全等价

安装与使用

此项目未提供 Docker 镜像,安装步骤以原仓库 README 为准(涉及依赖安装与环境配置,对新手门槛较高)。