TurboWay/big_screen
数据大屏可视化 observed · 2026-08-28
Health v2 · maintenance only
61/100
- Activity 63
- Release rhythm 35
- Longevity 100
Flags: no_releases
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 2165
- days_rel: n/a
- days_push: 224
- n_releases_24m: 0
Adoption not part of the score
1877 stars · 384 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
A simple Flask-based tool for building data visualization dashboards ('big screen' displays) in HTML. Users edit a Python data class with their own data and get a full-screen visualization dashboard served locally.
Use cases
- build a data big screen dashboard
- visualize enterprise data on a large display
- create a recruitment data visualization board
- quickly turn datasets into a presentation dashboard
- self-host a data visualization wall
When to choose
- you need a quick, template-based big-screen dashboard with minimal setup
- you want to serve data visualizations from Python/Flask
- you prefer editing a data class over configuring a BI tool
When to avoid
- you need interactive, drill-down BI analytics
- you require a modern JS charting stack or custom styling
- you need production-grade scalability or auth
Facets
application · maturity maintenance
data-visualization charts web-framework data-visualization big-data web-development python self-hosted dashboard big-screen flask html-templates web-server
1 source
- readme: https://github.com/TurboWay/big_screen · fetched 2026-08-28 · 52a7e68888f5
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| TurboWay/big_screen | main | 61 |
For agents
markdown · JSON · MCP: product_card(name="TurboWay/big_screen")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem