reaktiv

Automatically tracks dependencies between signals and computed values, ensuring data consistency without manual updates, as shown in the order calculation example where changing price or quantity recalculates totals automatically.

Only recomputes affected values when dependencies change, with lazy evaluation and memoization, optimizing performance for complex state graphs like independent data pipelines.

Includes Resource for async data loading with automatic cancellation and status management, preventing race conditions in data-fetching scenarios, as detailed in the async examples.

Integrates with static type checkers like mypy and pyright, providing autocompletion and early error detection, demonstrated with type-hinted signals and computed values.