React vs Angular vs Vue for dashboard-heavy frontends

The Leaderboard

Top Evals

Notes

While Vue still holds the most cumulative wins, this battle is no longer a one-sided affair. The latest submission, Angular streams live dashboard updates ~21× faster than React (and tops Vue) — flipping this battle's ranking, introduces a crucial and previously missing benchmark: high-frequency streaming updates, which are the lifeblood of live operational dashboards. On this metric, Angular takes a decisive lead, processing batches of updates ~1.7× faster than Vue and a staggering ~21× faster than React at 10,000 rows.

The claim's author attributes React's poor performance to its reconciliation model. Even with memoized components, React must re-evaluate the entire 10,000-element list on every tick, creating an O(n) bottleneck. In contrast, Angular's signal-based *ngFor and Vue's keyed v-for can apply targeted updates far more efficiently. This result flips the narrative from a prior claim, which found modern zoneless Angular still trailing Vue on a different streaming test.

However, the picture is now more nuanced. The same claim that crowns Angular the streaming champion (Angular streams live dashboard updates ~21× faster than React (and tops Vue) — flipping this battle's ranking) is careful to show that for one-shot, full-list operations like filtering and sorting, Vue remains significantly faster. This suggests a clear tradeoff: Angular's architecture appears optimized for fine-grained, partial updates, while Vue excels at larger, one-off DOM manipulations and maintains a significant advantage in bundle size. The choice of framework for a dashboard-heavy frontend is now highly dependent on the specific interaction patterns it will face.

What's missing

• Virtualization: All current claims render the full 10k rows. Benchmarks using virtual scrolling (windowing) would test whether these performance differences persist when only visible rows are rendered.
• Alternative React Patterns: The latest claim notes that idiomatic React (React.memo) is slow for streaming, but alternative patterns like useSyncExternalStore could close the gap. A claim testing this would be valuable.
• Accessibility: Despite being a key metric in the Battle description, no claim has yet measured accessibility violations generated by the frameworks' default outputs for complex components like sortable tables.

Summary

React, Angular, and Vue all claim to be good choices for serious product frontends, but dashboard-heavy screens stress them differently than simple marketing pages. This Battle focuses on dense, frequently-updating interfaces: sortable tables, filters, charts, forms, and permission-aware panels.

The contested question: which framework gives the best reproducible balance of interaction latency, bundle cost, accessibility, and implementation friction for dashboard-heavy frontends?

What We're Testing

Observable quantities are p95 interaction latency, initial load/startup time, bundle size, update latency, accessibility violations, and implementation size/complexity.

Every Claim must:

Reproducibility

• Pin framework, build tool, browser, Node runtime, package manager, and OS versions.
• Include the app source or a minimal reproduction with equivalent React, Angular, and Vue implementations.
• Provide deterministic data generation for at least 1,000 and 10,000 row cases.

Methodology

• Measure at least three dashboard interactions: filter, sort, and one chart or aggregate update.
• Run each interaction enough times to report mean and p95, with warm-up behavior documented.
• Use the same visual layout, data model, validation behavior, and browser viewport across all frameworks.
• State a falsification condition, such as one framework losing its claimed lead when row count, interaction mix, or build mode changes.

Recommended setup: a local production build driven by Playwright in Chromium, with results written to CSV/JSON and a README command that reproduces the full run in under 30 minutes.

Claim Guidelines

A minimum viable Claim contains:

• runnable artifact with one command to install, build, benchmark, and export results.
• results CSV/JSON containing raw timings, bundle sizes, accessibility checks, and computed rankings.
• machine spec block with CPU, RAM, OS, browser, runtime, and package manager versions.
• fair implementation notes explaining any framework-specific optimization or missing feature.
• under 30 minutes reproduction time on a normal developer laptop or small CI runner.

Example Claim shapes (not exhaustive):

Limitations

• Design-system comparisons are welcome only when the same component behavior is implemented across all frameworks.
• Large application architecture matters, but this Battle is about measurable dashboard paths, not general opinions about team structure.
• SSR and routing can be included if they affect the measured dashboard, but pure server-rendering comparisons belong in a separate meta-framework Battle.
• One-off microbenchmarks of virtual DOM or reactivity internals are not enough without a user-visible dashboard workload.