time.md for Obsidian

time.md navigates and visualizes data exported from the time.md screen-time analytics app, directly inside Obsidian.

Drop any time.md export into a folder in your vault and time.md recreates the core time.md experience — Overview, Trends, Calendar, Details, and Apps & Categories views — without needing to open the app.

Supported import formats

time.md auto-detects and parses every format time.md can export:

• JSON (.json) — nested or flat
• CSV (.csv) — with or without metadata comments and section markers
• YAML (.yaml, .yml) — nested sections matching time.md's JSON export shape
• Markdown (.md) — GitHub-flavored tables with metadata header
• Obsidian (.md) — YAML frontmatter payloads used by Obsidian/Bases workflows

Views

View	What it shows
Overview	Total, daily average, peak hour, longest session, trend, distribution donut, top apps, heatmap, and web-history overview
Trends	Range-aware daily/hourly defaults, stacked by-app chart (with Raw Sessions), hourly usage chart, app rhythm, focus-vs-fragmentation scatter, category balance, day archetypes, top apps by day, and daily breakdown
Calendar	Stats strip, GitHub-style daily contribution heatmap, 7×24 usage heatmap, date × hour heatmap (with Raw Sessions), intensity legend, and month grid
Details	Session stats, duration distribution, daily timeline, app lanes, session waterfall, context-switch intensity, attention-flow Sankey, and filterable raw-session table
Apps & Categories	Aggregated apps and categories with percentages
Projects	Category groups with donut distribution chart and stats
Web History	Browser history timeline, top domains, hourly activity
Reports	Daily / weekday breakdowns, period comparison, distribution charts, and CSV / JSON / Markdown export
Input Tracking	Cursor heatmap, typing intensity, top words / keys, per-app clicks (opt-in in time.md)

Open any view from the command palette (time.md: Open Overview, etc.) or the ribbon icon.

Visualization gallery

The screenshots below are rendered from the plugin's live embed renderer against representative sample data. Every view: value can be used in a timemd code block.

Core screen-time visualizations

Visualization	Embed view	What it shows	Screenshot
Overview dashboard	overview	Stats, trend, weekly heatmap, and top apps in one dashboard.
Stat card	stat	One focused metric such as total time, top app, app count, days, or peak day.
Trend chart	trend-chart / trends	Daily active time line chart.
Weekly heatmap	heatmap / calendar	Weekday × hour activity intensity.
Top apps	top-apps / apps	Ranked app totals with proportional bars.
Categories	categories	Category totals and share of tracked time.
Recent sessions	details	Latest raw sessions with app, timestamp, and duration.

Attention, rhythm, and session analysis

Visualization	Embed view	What it shows	Screenshot
Attention flow	transition-sankey	Sankey diagram showing where focus moves between apps.
App lanes	app-lanes	Per-app timeline lanes for the latest day.
Session waterfall	session-waterfall	Chronological sessions with duration bars.
App rhythm	app-rhythm	App × hour heatmap for daily usage rhythms.
Focus vs fragmentation	fragmentation-scatter	Daily active time versus switches per hour; bubble size is session count.
Category balance	category-balance	Category mix from daily and hourly matrices.
Day archetypes	day-archetypes	Day classifications such as deep work, fragmented, or browsing-heavy.
Contribution heatmap	contribution-heatmap	Calendar-style daily activity heatmap.
Date × hour heatmap	date-hour-heatmap	Raw-session-derived grid by date and hour.

Projects, reports, and browsing

Visualization	Embed view	What it shows	Screenshot
Projects	projects	Category/project list paired with distribution stats.
Distribution donut	distribution	Category share as a donut with legend and stats.
Web history	web-history	Browser history stats, timeline, domains, or hourly activity.
Reports	reports	Summary stats, period comparison, distributions, weekday averages, and export table.

Input tracking visualizations

Visualization	Embed view	What it shows	Screenshot
Input stats	input-stats	Keystrokes, peak typing minute, cursor samples, clicks, and observed apps.
Cursor heatmap	cursor-heatmap	Absolute screen-coordinate cursor heatmap with click overlay.
Typing intensity	typing-intensity	Hourly keystroke line chart.
Top typed keys	top-keys	Most-pressed keys.
Top typed words	top-words	Most-typed words with default redaction controls.
Input activity	input-activity	Per-app click counts from raw mouse events.

Input Tracking

If you've enabled Input Tracking in the time.md app (Settings → Input Tracking), the .input destination emits six new sections that this plugin renders as the Input Tracking view:

Section	What it shows
Cursor Heatmap Bins	2D heat overlay in absolute screen coordinates, per-screen tab strip, optional click overlay
Typing Intensity	Hourly keystrokes line chart
Top Typed Keys	Bar list of the 25 most-pressed keys
Top Typed Words	Bar list of the 50 most-typed words (only populated when "Full content" capture is on; default-redacted with a Reveal toggle)
Raw Mouse Events	Per-app click counts + click dots overlaid on the cursor heatmap
Raw Keystrokes	Optional first-200 timeline (chars default-redacted; secure-input rows show 🔒)

Example export workflow

1. In time.md → Export view, pick Destination = Input (or Combined with the input toggles enabled).

2. Pick a format the plugin can read — JSON is recommended for the raw sections:

   Format:      JSON
   Destination: Input
   Date range:  Today
   Sections:    Top Typed Words, Top Typed Keys,
                Cursor Heatmap Bins, Typing Intensity,
                Raw Keystrokes (optional),
                Raw Mouse Events (optional)
   

3. Save the file into the folder you've configured under Settings → time.md → Export folder.

4. Run time.md: Open Input Tracking from the command palette (or click the keyboard ribbon icon).

A minimal JSON export the view can render looks like:

{
  "title": "Input Tracking — 2026-05-04",
  "destination": "input",
  "sections": [
    {
      "name": "input_cursor_heatmap",
      "display_name": "Cursor Heatmap Bins",
      "headers": ["screen_id", "bin_x", "bin_y", "samples"],
      "data": [
        { "screen_id": 1, "bin_x": 30, "bin_y": 22, "samples": 1820 },
        { "screen_id": 1, "bin_x": 31, "bin_y": 22, "samples": 1280 },
        { "screen_id": 2, "bin_x": 60, "bin_y": 20, "samples": 1140 }
      ]
    },
    {
      "name": "input_typing_intensity",
      "display_name": "Typing Intensity",
      "headers": ["timestamp", "keystrokes"],
      "data": [
        { "timestamp": "2026-05-04T10:00:00Z", "keystrokes": 388 },
        { "timestamp": "2026-05-04T11:00:00Z", "keystrokes": 612 },
        { "timestamp": "2026-05-04T15:00:00Z", "keystrokes": 720 }
      ]
    },
    {
      "name": "input_top_keys",
      "display_name": "Top Typed Keys",
      "headers": ["key_code", "key_label", "count"],
      "data": [
        { "key_code": 49, "key_label": "Space",  "count": 1820 },
        { "key_code": 36, "key_label": "Return", "count": 412 },
        { "key_code": 51, "key_label": "Delete", "count": 388 }
      ]
    }
  ]
}

A larger fixture covering all six sections lives at tests/fixtures/input-tracking-sample.json — drop it into your export folder to preview the view without needing real data.

Privacy

• The Top Typed Words and Raw Keystrokes panels default to redacted (each character replaced with •); click Reveal words / Reveal chars to unmask.
• Rows captured while macOS Secure Input was active (e.g. password fields, sudo prompts) are surfaced as 🔒 with empty char values, by design from the time.md exporter.
• If no input sections are present in any loaded export, the Input Tracking view shows an empty-state callout — the existing views are unaffected.

Embedding into notes

Drop a timemd code block into any note to render a live widget that updates whenever you reload exports:

```timemd
view: overview
```

Supported views

view	Renders
overview	Stats strip, trend sparkline, weekly heatmap, and top apps (default)
stat	One big number — configure with metric:
trends, trend-chart	Daily line chart
calendar, heatmap	7×24 weekly heatmap
apps, top-apps	App bar list
categories	Category bar list
details	Recent sessions list
transition-sankey	Attention-flow Sankey between source and destination apps
app-lanes	Per-app session lanes for the latest day
session-waterfall	Chronological session list with duration bars
app-rhythm	App × hour heatmap
fragmentation-scatter	Daily active time vs. switches per hour scatter plot
category-balance	Category mix from daily / hourly matrix exports
day-archetypes	Table of daily classifications such as Deep work or Fragmented
contribution-heatmap	Calendar-style daily contribution heatmap
date-hour-heatmap	Date × hour heatmap derived from Raw Sessions
projects	Categories list + distribution donut + stats
distribution	Donut chart + category legend + stats card (no list)
web-history	Browser history (timeline / domains / activity tab)
reports	Time distribution + weekday averages + report data table
input-stats	Stats strip — keystrokes, peak typing minute, cursor samples, clicks, apps observed
cursor-heatmap	Aspect-preserving cursor heatmap in absolute screen coordinates with click overlay
typing-intensity	Hourly keystroke line chart
top-keys	Bar list of the most-pressed keys
top-words	Bar list of the most-typed words (default-redacted; Reveal toggle)
input-activity	Per-app click count bar list

Parameters

key	applies to	default	description
view	all	overview	widget type (see table above)
limit	overview, top-apps, categories, details, transition-sankey, app-lanes, session-waterfall, app-rhythm, category-balance, day-archetypes, projects, web-history, top-keys, top-words	varies	number of items shown
days	overview, trend-chart	all	restrict to last N days of trend data
height	cursor-heatmap, typing-intensity	view default	SVG canvas height in pixels
metric	stat	total_time	total_time, top_app, apps_count, days, peak_day
sections	overview	all	comma-separated list of stats, trend, heatmap, apps
date	overview	—	today, yesterday, or YYYY-MM-DD — filters every panel to that single day (requires Raw Sessions in the export)
tab	web-history	timeline	timeline, domains, or activity
browser	web-history	—	filter to a single browser (Safari, Chrome, Arc, …)
stats	distribution	true	false to hide the STATS card
legend	distribution	true	false to hide the legend list (donut-only)
label	distribution	true	false to hide the "DISTRIBUTION" label
bare	all	true	false keeps the embed's card background, border, and padding; default bare widgets sit flush on the note
colorScheme	all	plugin setting	per-block palette override: theme, time-md, monochrome, warm-console, graphite-violet, system, editor-dark, midnight, or daybreak
groupBy	reports	app	app, category, or day
format	reports	csv	csv, json, or markdown (used by the in-view Export button)
title	all	—	optional heading

Examples

Dashboard stat card for a daily note:

```timemd
view: stat
metric: total_time
title: Screen time today
```

Last 7 days of trend:

```timemd
view: trend-chart
days: 7
title: Last week
```

Top 5 apps:

```timemd
view: top-apps
limit: 5
```

Lean overview — stats and apps only, last 7 days:

```timemd
view: overview
sections: stats, apps
days: 7
limit: 3
```

Just yesterday:

```timemd
view: overview
date: yesterday
title: Yesterday
```

Input tracking dashboard for a daily note:

```timemd
view: input-stats
title: Input today
```

```timemd
view: cursor-heatmap
height: 360
```

```timemd
view: top-words
limit: 20
```

A complete sample note that wires every input component together lives at examples/input-tracking.md. The expanded examples/ directory also includes visualization recipes, ready-to-copy note templates, and synthetic exports for previewing dashboards without personal data.

Setup

1. Install the plugin (see "Manually installing" below while it's pre-release).
2. Export data from the time.md app using any supported format.
3. Place the exported file(s) inside a folder in your Obsidian vault.
4. Point the plugin at that folder in Settings → time.md → Export folder.
5. Run time.md: Open Overview from the command palette.

While enabled, the plugin also makes .json, .csv, .yaml, and .yml files visible in Obsidian’s file explorer and opens them in the text editor. Disable Show data files in vault in the plugin settings if you prefer Obsidian’s default file visibility.

Manually installing (pre-release)

1. Build locally: npm install && npm run build
2. Copy main.js, styles.css, manifest.json into <vault>/.obsidian/plugins/timemd-visualizor/
3. Enable the plugin in Obsidian settings.

Development

npm install
npm run dev   # esbuild in watch mode
npm run build # type-check + production build

License

0BSD (same as the sample plugin template).