Cjod-124

| Problem | Existing Solutions | Why It Still Hurts | |---------|-------------------|--------------------| | – D3 + Vega + Chart.js often push the payload over 200 KB (gzip). | D3, Chart.js, Highcharts, Vega‑Lite | Users still wrestle with large downloads, especially on mobile. | | Imperative vs declarative mismatch – D3 is powerful but requires a lot of boilerplate; Chart.js is declarative but limited. | D3 (imperative) vs Chart.js (declarative) | Developers either sacrifice flexibility or spend hours writing adapters. | | Real‑time streaming – Updating thousands of points per second leads to UI jank. | Recharts, ApexCharts | Most libraries fall back to canvas redraws, which are CPU‑bound. | | Theming nightmare – Maintaining a consistent design system across many charts is tedious. | Manual CSS overrides, CSS‑in‑JS | Themes become fragmented and hard to audit. | | Extensibility – Adding a custom chart type often means forking the repo. | Custom builds of Plotly, ECharts | Community contributions are discouraged by complex build pipelines. |

CJOD‑124 (pronounced “see‑jod‑one‑two‑four”) was conceived to the best of these worlds: cjod-124

CJOD‑124 is more than a charting library—it’s a that respects performance budgets, design consistency, and developer ergonomics. Whether you’re building a real‑time network monitor , an interactive analytics portal , or a static report for print, CJOD‑124 gives you the tools to turn raw numbers into compelling visuals with minimal friction. | Problem | Existing Solutions | Why It