ByStar VS validates_timeliness

Compare ByStar vs validates_timeliness and see what are their differences.

ByStar

Lets you find ActiveRecord + Mongoid objects by year, month, fortnight, week and more! (by radar)

validates_timeliness

Date and time validation plugin for ActiveModel and Rails. Supports multiple ORMs and allows custom date/time formats. (by adzap)
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ByStar validates_timeliness
1 0
1,048 1,576
- -
0.0 2.3
about 1 year ago 3 months 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.

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.

validates_timeliness

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

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

What are some alternatives?

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

time_diff - Gem which calculates the difference between two times

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

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

time-lord - time-lord is a ruby gem that adds extra functionality to the time class.

TZinfo - TZInfo - Ruby Timezone Library

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

groupdate - The simplest way to group temporal data