fugit VS ByStar

Compare fugit vs ByStar and see what are their differences.

fugit

time tools (cron, parsing, durations, ...) for Ruby, rufus-scheduler, and flor (by floraison)

ByStar

Lets you find ActiveRecord + Mongoid objects by year, month, fortnight, week and more! (by radar)
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fugit ByStar
- 1
342 1,050
3.2% -
8.6 0.0
12 days ago over 1 year ago
Ruby Ruby
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.

fugit

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

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

ByStar

Posts with mentions or reviews of ByStar. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-07-04.

What are some alternatives?

When comparing fugit and ByStar you can also consider the following projects:

Chronic - Chronic is a pure Ruby natural language date parser.

biz - Time calculations using business hours.

ice_cube - Ruby Date Recurrence Library - Allows easy creation of recurrence rules and fast querying

business_time - Support for doing time math in business hours and days

validates_timeliness - Date and time validation plugin for ActiveModel and Rails. Supports multiple ORMs and allows custom date/time formats.

time_diff - Gem which calculates the difference between two times

TZinfo - TZInfo - Ruby Timezone Library

rufus-scheduler - scheduler for Ruby (at, in, cron and every jobs)

groupdate - The simplest way to group temporal data