12 Zero-Dependency Financial H5 Demos for Banking AI

简介: 12 Zero-Dependency Financial Dashboards: Just Open in Browser I got tired of the same old ritual every time I wanted to prototype a financial dashboard: `` npm create vite@latest my-dashboard c

12 Zero-Dependency Financial Dashboards: Just Open in Browser

I got tired of the same old ritual every time I wanted to prototype a financial dashboard:

npm create vite@latest my-dashboard
cd my-dashboard
npm install react recharts tailwindcss ...
npm run dev

Thirty minutes later, I'm still configuring tooling instead of building UI. So I built something different — 12 self-contained financial H5 dashboards where every demo is a single index.html file. No React. No Vue. No npm. No build step.

Just open in a browser.

Repo: github.com/yuzhaopeng-up/fintech-h5-demos


The Zero-Dependency Philosophy

Why no framework? Three reasons:

1. Instant access. Financial stakeholders — risk officers, product managers, compliance teams — don't run npm install. They double-click files. A single HTML file respects that workflow.

2. Longevity. React 18 will be legacy in 3 years. Vanilla HTML/CSS/JS from 2005 still opens in every browser today. If you build a proof-of-concept today, it should work in 2030.

3. Transparency. Every line of logic is right there in the file. No node_modules black hole. Your security team can audit it in 5 minutes.


Quick Start

git clone https://github.com/yuzhaopeng-up/fintech-h5-demos.git
cd fintech-h5-demos
# That's it. No install step.

Then open any folder's index.html in your browser. No server required.


The 12 Dashboards

# Demo What It Shows Key Visualization
1 Fraud Alert Real-time fraud detection with alert severity, geographic risk heatmap Canvas heatmap, SVG bar charts
2 Loan Application End-to-end digital loan workflow with credit scoring Progress stepper, donut chart
3 Risk Assessment Enterprise risk scoring with multi-factor breakdown SVG radar chart, scatter matrix
4 Account Management Customer account overview: balances, transactions, KYC status SVG area chart
5 Approval Flow Multi-level approval workflow with SLA tracking SVG flow diagram
6 Customer Profile 360-degree customer view with lifecycle stage Composite card layout
7 Data Report Business intelligence report with KPI scorecards SVG bar/line combo
8 Data Visualization 10+ interactive chart types Canvas + SVG hybrid
9 Notification Center Multi-channel notification hub with batch ops List view, filter tabs
10 Supply Chain Supply chain finance: invoice lifecycle, factoring SVG flow, stacked bar
11 Wealth Preservation Wealth management: portfolio allocation, rebalancing SVG treemap, line chart
12 API Test API testing utility: request builder, response viewer Code block, JSON tree

Every single one is dark-themed, mobile-responsive, and ships with realistic mock data.


How It Works Under the Hood

Charts: Inline SVG + Canvas

  • SVG for structural charts (bar, line, radar, pie). SVG elements are manipulable with CSS and JavaScript.
  • Canvas for pixel-dense visualizations (heatmaps, scatter plots with 1000+ points).

Layout: CSS Grid + Flexbox

.dashboard-grid {
   
  display: grid;
  grid-template-columns: repeat(auto-fit, minmax(320px, 1fr));
  gap: 16px;
}

Cards reflow from multi-column to single-column on mobile. Each demo's CSS is ~150 lines, not 15,000.

Dark Theme

Consistent across all 12 demos via CSS custom properties. Override :root and the entire dashboard reskins.


From Demo to Production

The mock data is the obvious swap point. Each demo stores data in a clearly marked section:

// ============================================
// MOCK DATA — Replace with real API calls
// ============================================
const MOCK_TRANSACTIONS = [...];

// Replace with:
// async function fetchTransactions() {
   
//   const res = await fetch('/api/v1/transactions');
//   return res.json();
// }

The transition path:

Open HTML → Swap mock data → Deploy behind auth proxy
  < 1 sec     30 min              1 day

Mobile Responsiveness

Every demo is tested across three breakpoints: desktop (4-column grid), tablet (2-column), phone (1-column stack). Charts scale via SVG viewBox — resolution-independent by nature.


Agent Skills Open-Source Ecosystem

This repo is part of a larger open-source ecosystem for building AI-powered financial applications:

Repository Description Link
financial-ai-skills 104 financial AI skills: invoice verification, risk scoring, fraud detection github.com/yuzhaopeng-up/financial-ai-skills
teleagent-skills 5 production-ready agent skills with 4-Phase orchestration github.com/yuzhaopeng-up/teleagent-skills
agent-cluster-comm 5-layer communication architecture for multi-agent clusters github.com/yuzhaopeng-up/agent-cluster-comm
skill-framework Skill governance framework: L0-L4 classification + YAML templates github.com/yuzhaopeng-up/skill-framework
fintech-h5-demos 12 zero-dependency financial H5 dashboard demos (this repo) github.com/yuzhaopeng-up/fintech-h5-demos

MIT License — do whatever you want with it.

相关文章
|
27天前
|
人工智能 监控 测试技术
银行业AI架构:从裸调API到六层技能体系
# 银行AI智能体架构实战:从单体到Skill协同的技术演进 ## 痛点:银行IT架构的三重困境 走在任何一家银行的科技部走廊里,你都能听到同样的叹息:系统又慢了、需求又排不上、监管又来查了。这不是某一家银行的困境,而是整个银行业IT架构的共性问题。我们把它拆解为三重困境。 **困境一:单体系
|
1月前
|
人工智能 JSON 搜索推荐
企业尽调智能体实战:60+真实企业的AI尽调报告
从5天到10分钟:AI如何重构企业尽调 企业贷前尽调,银行和金融机构最头疼的环节。一位信贷经理曾这样描述他的工作:打开天眼查查工商信息,切到Wind拉行情,再打开百度搜新闻,最后把散落在七八个系统里的数据拼进Word模板。一家企业,至少5天。如果碰上集团客户、关联方众多的,两周起步。 一家支行行长曾无奈地说:"25个客户经理,每个人做的尽调报告格式都不一样。同样的企业,A经理评'低风险',B经理评'中等风险',谁对谁错无从判断。"问题的根源不是人的能力差异,而是工具链的碎片化——数据散落在不同系统里,没有
|
25天前
|
人工智能 JSON 文字识别
金融AI技能库:104个开源Skill即插即用
零API费用的金融AI技能库:104个场景纯Python实现,毫秒级响应 当金融AI遇上"账单焦虑" 金融行业的AI落地,存在一个被长期忽视的悖论:业务方要的是"即时可用",技术方给的是"先接API再说"。 一个发票查验场景,接入第三方OCR服务,单次调用0.3元,日均10万笔,月账单9万。一个财报分析需求,调用大模型API,单次Token消耗折合0.8元,季报期间批量处理500份,
|
2月前
|
Web App开发 编解码 前端开发
小红书矩阵号从0到1搭建全流程:环境隔离、账号配置与团队协作实战手册
搭建小红书矩阵号的技术基础设施,本质上是一个"一次投入、长期受益"的工作。花一周时间做好环境配置和权限规划,未来一年每天都能节省大量的"切换时间"和"焦虑成本"。
|
5月前
|
人工智能 安全 开发工具
玩转AI研发系统:从环境搭建到流程自动化
深度使用AI研发后,我彻底改变了对AI编程的认知——它并非简单的代码辅助,而是融合AIGC大模型与软件工程全流程管理的一站式DevOps智能协作中台。其核心功能精准破解研发效率痛点,下文结合实操心得与真实案例,拆解其核心技术能力及使用方法,助力研发提质增效。
581 3
|
6月前
|
存储 弹性计算 数据挖掘
阿里云服务器38元、99元、199元配置和适用场景区别与选择指南
阿里阿里云提供38元、99元、199元三款高性价比云服务器,满足不同用户需求。38元轻量服务器适合个人博客、开发测试及学习实践;99元经济型e实例满足中小型Web应用、企业官网及轻量数据分析;199元通用算力型u1实例则适用于中小型数据库、企业级应用及多媒体内容处理。用户应根据业务需求、性能要求及成本预算选择合适的服务器,并关注阿里云的优惠活动,以更低的成本获得优质的云服务体验。
|
6月前
|
人工智能 算法 数据可视化
Gemini 3.1 Pro 发布:一次真正意义上的推理能力跃迁
Google DeepMind深夜发布Gemini 3.1 Pro,推理能力跃升:ARC-AGI-2达77.1%(近乎翻倍),HLE测试44.4%领先竞品;支持100万Token上下文,SVG/代码生成与智能体表现断层领先;已上线Gemini、NotebookLM及AI Studio,标志着大模型竞争进入新阶段。
|
7月前
|
机器学习/深度学习 边缘计算 数据可视化
数字孪生开发技术栈
数字孪生项目融合物理感知与虚拟仿真,涵盖IIoT、边缘计算、BIM/CAD建模、UE5/Unity渲染、机器学习与GenAI分析。按数据流分为五层:采集、建模、引擎、智能与协作层,适用于工业、城市等多场景。#数字孪生 #webgl开发 #软件外包公司(238字)
|
缓存 负载均衡 应用服务中间件
|
机器人 Python
利用itchat搭建微信机器人详解(附三个实用示例)(上)
2011年1月21日,微信推出第一个正式版本,到现在已有7个年头。从一开始的不被看到好,到现在的用户量超10亿,大众的日常生活越来越离不开微信。人生苦短我用Python,有没有办法通过Python来对我们使用微信提供一些便利呢? 答案肯定是有的,在Github上有一个基于微信网页版接口微信开源库:itchat,通过几十行的代码就能轻松实现一个微信机器人。本章我们就来了解学习这个库,然后通过三个实用案例来帮大家玩转这个库。
2911 0