M
mark-when/markwhen
Markwhen
Markwhen is a markdown data visualizer and timeline generator that transforms structured text into interactive chronological views. It functions as a text-based timeline editor, synchronizing plain text editing with real-time visual previews of event sequences.
The system renders chronological data in multiple formats, including cascading timelines, Gantt charts, calendars, and resumes. It supports self-hosting via Docker containerization, allowing users to run the renderer on private infrastructure.
The project includes a client library for custom view development and offers integration with the VS Code editor to sync text editing with the visual timeline. It also provides tools for managing event date ranges and organizing chronological data into structured pages.
Features
- Interactive Timeline Visualizations - Renders text containing dates and images into an interactive, scrollable cascading visual timeline.
- Markdown-Driven Visualizations - Transforms structured Markdown text into interactive, cascading chronological views, calendars, and Gantt charts.
- Gantt Charts - Renders events as a Gantt chart to visualize temporal relationships and project schedules.
- Markdown Data Visualizers - Transforms structured Markdown data into cascading chronological views and date-based visualizations.
- Chronological Data Parsers - Transforms structured markdown text files into chronological data objects to drive the visual timeline interface.
- Markdown Previewers - Provides real-time visual timeline previews while editing markdown files for project tracking.
- Live-Preview Timeline Editors - Synchronizes plain text editing with a real-time visual preview of chronological event sequences.
- Markdown Timeline Generators - Converts markdown text into structured, interactive visual timelines to organize chronological events.
- Chronological Timelines - Visualizes dates and events in a sequential order along an axis to show temporal relationships.
- Multi-Format Data Rendering - Displays the same chronological dataset through multiple visual interfaces including timelines, calendars, and resumes.
- Chronological Layouts - Implements layout logic specifically designed to align dates and events in a linear chronological format.
- Editor View Mode Synchronizers - Synchronizes state between the markdown text buffer and the visual timeline preview in real time.
- Visualization View Plugins - Allows the addition of new visualization formats by extending a client library without modifying the core renderer.
- Containerized Deployments - Provides standardized packaging via Docker images for consistent execution across local or private infrastructure.
- Self-Hosted Applications - Provides a Docker-based application for deploying and managing timeline renderings on private infrastructure.
- Docker Deployments - Provides Docker and Docker Compose configurations for self-hosting the timeline renderer.
- Self-Hosted Instances - Allows running private instances of the timeline renderer on user-controlled infrastructure for data sovereignty.
- Chronological View Development - Provides a client library for building new ways to visualize chronological data by extending view types.
- Timeline View Extensions - Provides a client library for creating new ways to visualize chronological data by extending available view types.
- Self-Hosted Timeline Visualizers - Allows running a local instance of the timeline renderer via Docker to maintain control over private data.
- Web Markdown Editors - Interactive tool for converting text into cascading timelines.
- Markdown 编辑器 - Listed in the “Markdown 编辑器” section of the Great Open Source Project awesome list.
