Amazing Print
Ahoy
| Amazing Print | Ahoy | |
|---|---|---|
| 5 | 15 | |
| 732 | 4,085 | |
| 1.4% | - | |
| 6.8 | 7.2 | |
| about 2 months ago | 22 days ago | |
| Ruby | Ruby | |
| MIT License | MIT License |
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.
Amazing Print
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Use 𝐚𝐰𝐞𝐬𝐨𝐦𝐞_𝐩𝐫𝐢𝐧𝐭 as the default value renderer in 𝐈𝐑𝐁 💫
amazing_print is an alternative. https://github.com/amazing-print/amazing_print
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The latest edition of Rails Tricks covers how I customize my Rails console
awesome_print is apparently not being maintained anymore. Instead, I use a maintained fork of it, amazing_print: https://github.com/amazing-print/amazing_print.
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amazing_print VS awesome_print - a user suggested alternative
2 projects | 1 Jan 2022
- Ruby 3 error messages and object inspection.
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Rails application boilerplate for fast MVP development
pry-rails and amazing_print for better rails console
Ahoy
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Ahoy Captain: a full-featured, mountable analytics dashboard
A full-featured, mountable analytics dashboard for your Rails app, which is a blatant rip-off of heavily inspired by Plausible Analytics, powered by Ahoy. Open source, though lots of changing parts: https://github.com/joshmn/ahoy_captain
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Best rails tools to automatically handle logging of things like all a user's actions, or changes to a record in a module - primarily for audit purposes.
For logging which functions were used you can use ahoy
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How would you build an audit log in Rails for a high-throughput API?
Ahoy may be worth a try https://github.com/ankane/ahoy
- Want to keep track of URL visits, what's the simplest way to do achieve this?
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Italian watchdog bans use of Google Analytics
I've slowly started ripping Google Analytics out of my Rails projects and replacing it with https://github.com/ankane/ahoy.
It's so much better! I can just use SQL to see what's going in and not get overwhelmed with 100's of visualizations and complicated dashboards.
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Need some good documentation on implementation or tutorial video for AHOY gem
it's just a database table, so yeah, a migration is fine: https://github.com/ankane/ahoy/issues/461
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Make Ahoy Queries faster?
I'm using the ahoy gem for analytics on my website (https://github.com/ankane/ahoy).
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Cookie-based tracking is dead
I did server-side tracking test in a rails app, where I implemented a tracking gem called ahoy and blazer for visualization. It is very easy to set up, but a bit hard to use. Blazer can do a very basic visualization of the data if you know your SQL queries.
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How would you build/record/store analytics data ;
https://github.com/ankane/ahoy The ahoy gem is pretty useful for this. Data model is pretty simple, it will track unique user sessions and metrics you specify will be associated with these sessions. The gem also parses the user agent, so it will indicate whether a session was on mobile, desktop or tablet.
What are some alternatives?
Awesome Print - Pretty print your Ruby objects with style -- in full color and with proper indentation
Impressionist - Rails Plugin that tracks impressions and page views
rails_best_practices - a code metric tool for rails projects
Legato - Google Analytics Reporting API Client for Ruby
Pry - A runtime developer console and IRB alternative with powerful introspection capabilities.
active_analytics - First-party, privacy-focused traffic analytics for Ruby on Rails applications.
Lograge - An attempt to tame Rails' default policy to log everything.
Staccato - Ruby library to perform server-side tracking into the official Google Analytics Measurement Protocol
Scenic - Versioned database views for Rails
Gabba - Simple way to send server-side notifications to Google Analytics
Traceroute - A Rake task gem that helps you find the unused routes and controller actions for your Rails 3+ app
Analytical