iGaoWei/BigDataView

100+套大数据可视化炫酷大屏Html5模板;包含行业:社区、物业、政务、交通、金融银行等,全网最新、最多,最全、最酷、最炫大数据可视化模板。陆续更新中

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Summary Information

Updated 31 minutes ago
Added to GitGenius on September 12th, 2026
Created on July 29th, 2021
Open Issues & Pull Requests: 3 (+0)
GitHub issues: Enabled
Number of forks: 1,487
Total Stargazers: 5,326 (+0)
Total Subscribers: 49 (+0)

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Median issue/PR response: 0.0 hours
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90th percentile: 0.0 hours
Tracked items: 2

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Open issues: 2
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 481 days
Stale 30+ days: 2
Stale 90+ days: 2

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Comments in 7 days: 0
Events in 7 days: 0

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Detailed Description

BigDataView is a collection of HTML5 templates for data visualization dashboards. The project addresses the need for ready-made, professional dashboard designs by providing a curated library of templates built with ECharts and JavaScript. Rather than building dashboards from scratch, developers can clone the repository and use these static HTML pages directly in a browser, adapting them to their specific data sources and styling needs.

The templates span multiple industries including government services, property management, community administration, transportation, and financial banking. Each template demonstrates different visualization patterns and layout approaches suitable for real-time monitoring systems, data analytics platforms, and executive dashboards. The project was created to consolidate free and paid resources that were previously scattered across the internet, eliminating the need for developers to search multiple sources or pay per-template fees.

Teams building data visualization dashboards should consider this collection if they want to accelerate development by starting from proven design patterns rather than blank canvases. The templates work best for projects requiring quick deployment of monitoring dashboards or proof-of-concept visualizations. The approach suits organizations that need visual consistency across multiple dashboard pages and can adapt the provided HTML and styling to their branding and data integration requirements.

The project maintains an active contribution model, with the maintainer regularly adding new templates and encouraging community members to submit their own designs. Development focuses on expanding the template library across different industry verticals and use cases. The project provides multiple access methods including direct repository cloning, online preview links, and alternative distribution channels, indicating ongoing effort to make the templates accessible to a broad audience.