Ahoy VS Legato

Compare Ahoy vs Legato and see what are their differences.

Ahoy

Simple, powerful, first-party analytics for Rails (by ankane)

Legato

Google Analytics Reporting API Client for Ruby (by tpitale)
Our great sponsors
  • WorkOS - The modern identity platform for B2B SaaS
  • InfluxDB - Power Real-Time Data Analytics at Scale
  • SaaSHub - Software Alternatives and Reviews
Ahoy Legato
15 -
4,081 404
- -
7.5 0.0
14 days ago 12 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.

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.

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.

What are some alternatives?

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

Impressionist - Rails Plugin that tracks impressions and page views

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

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

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.