Koyomi VS Calendar

Compare Koyomi vs Calendar and see what are their differences.

Koyomi

By shoheiyokoyama

Calendar

A set of views and controllers for displaying and scheduling events on iOS (by jumartin)
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Koyomi Calendar
- -
711 702
- -0.3%
0.0 0.0
about 7 years ago over 4 years ago
Swift Objective-C
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

Koyomi

Posts with mentions or reviews of Koyomi. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning Koyomi yet.
Tracking mentions began in Dec 2020.

Calendar

Posts with mentions or reviews of Calendar. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning Calendar yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing Koyomi and Calendar you can also consider the following projects:

CalendarKit - 📅 Calendar for Apple platforms in Swift

JTAppleCalendar - The Unofficial Apple iOS Swift Calendar View. Swift calendar Library. iOS calendar Control. 100% Customizable

DateTimePicker - A nicer iOS UI component for picking date and time

FSCalendar - A fully customizable iOS calendar library, compatible with Objective-C and Swift

PTEventView - An Event View based on Apple's Event Detail View. Written in Swift 3. Supports ARC, Autolayout and editing via StoryBoard.

RSDayFlow - iOS 12+ Calendar (Date Picker) with Infinite Scrolling.

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InfluxDB high-performance time series database
Collect, organize, and act on massive volumes of high-resolution data to power real-time intelligent systems.
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