CalStats 4+

Name: CalStats
Author: Matthijs van Loon

Matthijs van Loon

- 免費
- 提供 App 內購買項目

描述

CalStats uses your existing calendar events to create insights into your time and habits. Want to know how much you go to the gym each week? No problem. How many hours have you spent on that one client? Just enter the keywords.

- No need to input anything — use your existing calendar
- Easily visualize time spent per week, month, or year
- Set a goal for a given time period, and see if you meet it
- Export your filtered datasets into CSV files for use in Excel or Numbers
- Widgets for the homescreen to see time spent without even opening the app

No ads. Forever. (Please consider subscribing to premium to support development)
With CalStats Premium (for just a couple bucks a year!) you get even more precise control over your calendar:

- See how much time you spent, down to the *second*
- Display ongoing events on the dashboard, and in widgets
- Filter events by using *excluding* keywords — see how much time you spent on work *except* for that one client

CalStats' Visualizers give you easy insight into you calendar statistics, calendar events, and more.

2024年8月29日

版本 2.3

- Adds a notes field to visualizers
- Adds colors to the icons for visualizers
- Removes some placeholder text for pinned visualizers
- Removes the “Exclude either” option
- Reduces CPU usage when Ongoing Events progress display
- Reduces font size of ‘Max’ in widgets
- Reorganises the edit view, and moves advanced options to its own drawer in Edit view
- Fixes a typo (thanks AJ)
- Fixes incorrect event numbers in visualizer cards
- Fixes a case where the list of visualizers could jitter or wobble when editing
- Fixes drag to refresh being jittery
- Fixes a small issue where toolbar icons in a visualizer didn’t transition in properly
- Fixes an issue where filtering sometimes doesn’t work as expected (e.g. with emoji)
- Fixes goal minutes not being set
- Fixes total time not display without manual refresh
- Fixes sorting of exported CSV rows
- More small optimizations that would be boring to explain