Polo VS Database Cleaner

Compare Polo vs Database Cleaner and see what are their differences.

Polo

Polo travels through your database and creates sample snapshots so you can work with real world data in development. (by IFTTT)

Database Cleaner

Strategies for cleaning databases in Ruby. Can be used to ensure a clean state for testing. (by DatabaseCleaner)
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Polo Database Cleaner
2 3
766 2,914
0.0% 0.2%
0.0 0.0
6 months ago 4 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.

Polo

Posts with mentions or reviews of Polo. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-02-17.

Database Cleaner

Posts with mentions or reviews of Database Cleaner. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-04-21.

What are some alternatives?

When comparing Polo and Database Cleaner you can also consider the following projects:

Scenic - Versioned database views for Rails

PgHero - A performance dashboard for Postgres

SecondBase - Seamless second database integration for Rails.

Seed dump - Rails 4/5 task to dump your data to db/seeds.rb

Blazer - Business intelligence made simple

Seed Fu - Advanced seed data handling for Rails, combining the best practices of several methods together.

Squasher - Squasher - squash your old migrations in a single command

PgDriveBackup - Simple solution to make encrypted with ccrypt PostgreSQL backups and storing on Google Drive API

BatchLoader - :zap: Powerful tool for avoiding N+1 DB or HTTP queries