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A solid foundation for analytics on Rails

What is Ahoy?

Ahoy provides a solid foundation to track visits and events in Ruby, JavaScript, and native apps.
Ahoy is a tool in the Custom Analytics category of a tech stack.
Ahoy is an open source tool with 2.7K GitHub stars and 265 GitHub forks. Here’s a link to Ahoy's open source repository on GitHub

Who uses Ahoy?

Companies

Developers

Ahoy Integrations

Why developers like Ahoy?

Here’s a list of reasons why companies and developers use Ahoy
Top Reasons
Ahoy Reviews

Here are some stack decisions, common use cases and reviews by companies and developers who chose Ahoy in their tech stack.

Cyril Duchon-Doris
Cyril Duchon-Doris
CTO at My Job Glasses · | 1 upvotes · 108 views
Ahoy

Event Tracking, collect all sorts of events that we use for our recommendation system Ahoy

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Ahoy Alternatives & Comparisons

What are some alternatives to Ahoy?
Keen
Keen is a set of powerful APIs that allow you to collect, analyze, and visualize events from anything connected to the internet. Send all your data – any event, from any source, all the time, any time. Keen IO was specifically built to capture and store event data — those constant little interactions that happen all day, every day, in your apps. Event data can be anything, and Keen IO gives you the ability to grab as much of it as you want, then store it forever on our cloud database.
Snowplow
Every single event, from your website(s), mobile app(s), desktop applications and server-side systems, stored in your own data warehouse and available to action in real-time.
Bitdeli
Build dashboards and reports with exactly the metrics you need using plain Python scripts. There is nothing new to learn. Bitdeli keeps your results up to date, no matter how much data you have or how complex your metrics are. Get started in minutes with our growing library of open-source analytics, created by experienced data hackers.
Iteratively
Iteratively helps teams capture reliable product analytics they can trust. It eliminates the most common causes of error during the definition and implementation of tracking plans, and cuts down on the time it takes to correctly instrument the product. As a result, folks that consume product analytics get exactly what they spec'd out and can rely on the incoming data knowing it is trustworthy and accurate.
Rakam
You can build custom reports or custom dashboards just connect Rakam with third-party tools or join Rakam data with internal data sources. A full stack analytics platform for you, including both backend and frontend.
See all alternatives

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