Analytical
Ahoy
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| Analytical | Ahoy | |
|---|---|---|
| - | 15 | |
| 387 | 4,081 | |
| - | - | |
| 0.0 | 7.5 | |
| - | 17 days ago | |
| Ruby | Ruby | |
| - | MIT License |
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Analytical
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Tracking mentions began in Dec 2020.
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?
Impressionist - Rails Plugin that tracks impressions and page views
Rack::Tracker - Tracking made easy: Don’t fool around with adding tracking and analytics partials to your app and concentrate on the things that matter.
Legato - Google Analytics Reporting API Client for Ruby
active_analytics - First-party, privacy-focused traffic analytics for Ruby on Rails applications.
Gabba - Simple way to send server-side notifications to Google Analytics
Staccato - Ruby library to perform server-side tracking into the official Google Analytics Measurement Protocol
RequestResponseStats - A Ruby gem which captures request response statistics such as cycle time, memory allocation, etc. for each request response cycle grouped in configurable granularity level. As this library makes use of TCP protocol, using DataDog or NewRelic RPM would be way faster because of UDP protocol.