DataJot
DataJot Documentation
User guide for understanding and using DataJot, from creating a first series to exports and automation.
Updated on June 13, 2026
DataJot helps you track numeric values over time. You can use it for a temperature, weight, coffee counter, remaining stock, duration, personal score, or any other value you want to review later.
The general idea is simple: create a series, add measures, then use DataJot to review the history with charts, statistics, detailed lists, and CSV exports.
Understand the basics
A series is the subject you track. For example, “Living Room Temperature” or “Coffee”.
A measure is a value added to that series at a specific time. If you record 21.4 °C today at 6 PM, you create one measure in the “Living Room Temperature” series.
Over time, those measures become a history. That history lets DataJot display trends, averages, sums, minimums, maximums, and editable value lists.
Recommended first workflow
Start with a simple series before configuring advanced behavior.
For example, create “Coffee” or “Office Temperature”, add a few measures, then open the series detail. You will quickly see the difference between the raw value you entered and the way DataJot displays it in charts or statistics.
Once this is clear, you can add a category, choose a unit, change the chart type, or create thresholds.
When to use each section
If you are starting out, begin with concepts, then read about series and measures.
If you already track several things in DataJot, the pages about categories, units, and visualization will help you structure the app.
If you want faster daily entry, read about widgets and Shortcuts and CSV export. On Mac, the HTTP server page explains how to add or read measures from external tools.
Example full setup
Imagine you want to track the temperature of a room.
You create a “Living Room Temperature” series, associate a temperature unit, then add a measure every day. After a few days, the chart shows the evolution. If you add thresholds, DataJot can make some values more visible based on the limits you chose.
The same principle works for a coffee counter, sports tracking, consumption, a score, or a simple inventory. What changes most is the aggregation method and the chart type you choose.
You can also start from a series template or check the available units before creating your own setup.
All sections
Concepts and vocabulary
Understand series, measures, categories, units, visualization, and thresholds before configuring DataJot.
Read sectionSeries
Create, configure, edit, and delete the series that contain your measures.
Read sectionMeasures
Add, correct, browse, and delete dated values in a series.
Read sectionCategories
Organize series on the dashboard and understand what happens when a category is deleted.
Read sectionUnits and sub-units
Create units, manage sub-units, and associate them with series.
Read sectionCharts, statistics, and thresholds
Understand charts, statistics, visualization configurations, thresholds, and Y-axis bounds.
Read sectionDashboard and navigation
Use the dashboard, series lists, main navigation, and date ranges.
Read sectionWidgets, Shortcuts, and automations
Add measures without opening DataJot, using widgets, Shortcuts, and the add measure intent.
Read sectionCSV export
Export raw measures from a series to a complete CSV file or a file limited to a period.
Read sectionmacOS HTTP server
Use the optional local HTTP server on Mac to add and read measures from external tools.
Read sectionFrequently asked questions
Answers to common questions based on confirmed DataJot behavior.
Read section