Use when implementing expand and collapse content sections.
日本語の概要は準備中です。原文の説明を表示しています。
Use when you need to display chronological events and activities.
インストール方法を見るインストールする前に、エージェントに与えられる指示の中身を確認できます。
Display chronological events and activities
A Timeline pattern helps teams create a reliable way to show events in chronological order so users can reconstruct a sequence, audit a process, or follow progress over time. It is most useful when teams need activity history and audits. Compared with adjacent patterns, this pattern should reduce friction without hiding the state, rules, or recovery paths people need to keep moving.
references/pattern.md, then choose the smallest viable variation.aria-describedby or structural headings when useful.The Problem: Teams often pick a visually familiar pattern before confirming whether users need comparison, exploration, or scanning.
How to Fix It? Start from the user task, then map the layout to comparison, chronology, hierarchy, or overview needs.
The Problem: A polished default view still feels broken when loading, empty, and error states are inconsistent.
How to Fix It? Design the data lifecycle up front, including empty, partial, stale, and failed results.
The Problem: Large tables, dense dashboards, and heavy cards collapse quickly on small screens.
How to Fix It? Define a mobile strategy such as stacked cards, progressive disclosure, or alternate summaries before implementation.
For full implementation detail, examples, and testing notes, see references/pattern.md.
Pattern page: https://uxpatterns.dev/patterns/data-display/timeline
まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
Use when implementing expand and collapse content sections.
日本語の概要は準備中です。原文の説明を表示しています。
Use when implementing user account configuration and preferences.
日本語の概要は準備中です。原文の説明を表示しています。
Use when implementing social activity and updates stream.
日本語の概要は準備中です。原文の説明を表示しています。
Use when implementing conversational AI chat interfaces.
日本語の概要は準備中です。原文の説明を表示しています。
Use when implementing handling AI-specific errors.
日本語の概要は準備中です。原文の説明を表示しています。
Use when implementing loading states for AI operations.
日本語の概要は準備中です。原文の説明を表示しています。