Legato VS Ahoy

Compare Legato vs Ahoy and see what are their differences.

Legato

Google Analytics Reporting API Client for Ruby (by tpitale)

Ahoy

Simple, powerful, first-party analytics for Rails (by ankane)
InfluxDB - Power Real-Time Data Analytics at Scale
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SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
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Legato Ahoy
- 15
404 4,081
- -
0.0 7.5
12 months ago 20 days 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.

Legato

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

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

Ahoy

Posts with mentions or reviews of Ahoy. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-08-03.

What are some alternatives?

When comparing Legato and Ahoy you can also consider the following projects:

Impressionist - Rails Plugin that tracks impressions and page views

Staccato - Ruby library to perform server-side tracking into the official Google Analytics Measurement Protocol

active_analytics - First-party, privacy-focused traffic analytics for Ruby on Rails applications.

Analytical

Gabba - Simple way to send server-side notifications to Google Analytics

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.

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.