Administrate VS android-analytics-debugger

thoughtbot/administrate is a well-known framework for administrative screen, but it's not developer friendly。I implement my own template files for Administrate, so when new Administrate version released, It is hard to update Administrate because template file is changed.**

I work at thoughtbot, you might know us for our open source work like administrate, factory_bot or shoulda-matchers.

This looks very similar to Administrate by thoughtbot https://github.com/thoughtbot/administrate

We briefly considered migrating to a full-grown Rails admin interface, such as ActiveAdmin, RailsAdmin, Administrate or Avo. We especially liked Avo which is built on a very modern stack similar to ours (Tailwind + Hotwire + ViewComponents). In the end, we didn’t go this route as we found some of the options a bit too restrictive (even though Avo is very flexible) and we did not feel like trying to amend it to our needs. For example, Avo renders forms in a 1-field-per-row layout while we wanted something more similar to the Tailwind UI Stacked form layout. Nevertheless, we found a great deal of inspiration in the Avo code and its design principles.

We have already covered many use cases for customisation, everything else can be found in the official documentation.

Administrate

I usually tend to create these from Scratch, but moving forward I’ve started to use thoughtbot’s administrate gem. It sticks to the Rails conventions of controllers and routing, so it’s easy to customise and add new functionality to.

That's exactly what we do. Easy to extend trials as needed for users when needed too via https://github.com/thoughtbot/administrate

Documentation https://administrate-demo.herokuapp.com/

There are some cloud tools such as Avo that can help you create a cloud-hosted tracking plan. A CDP can also help you manage your tracking plans programmatically. Here is my company's partnership with Avo. https://www.rudderstack.com/blog/rudderstack-x-avo/

Ten years ago, there was a popular Ask HN: "what's your startup’s analytics setup?” [0]. Like the poster then (malandrew), I have the same problem in 2023: Selecting analytics solutions for the startup I'm working at has proven to be more daunting than I imagined.

There are many services to choose from and it's not immediately obvious how you should choose from the many offerings to get not only complete analytics coverage but also do so in a way where you can integrate them all to get a complete picture without any mismatch.

There is too much marketing speech copy on the sites of many analytics startups to properly evaluate them without wasting time and effort to signup, configure and use each one long enough to understand the value they provide.

Off the top of my head, there are services like Segment [1], Amplitude [2], Mixpanel [3], Trackingplan [4], Avo [5], Posthog [6], Freshpaint [7], etc.

So ten years later, what are the must-have analytics solutions for startups? What are the best tools for bringing in all the data from the different analytics tools? How should Engineering, Product and Data work together around analytics?

The more details you can provide the better.

[0]: https://news.ycombinator.com/item?id=4707903

[1]: https://segment.com

[2]: https://amplitude.com

[3]: https://mixpanel.com

[4]: https://www.trackingplan.com

[5]: https://www.avo.app

[6]: https://posthog.com

[7]: https://www.freshpaint.io

You may want to check your branding -- https://www.avo.app/

Today we're excited to announce our partnership with Avo. RudderStack and Avo work together to ship analytics tracking faster with better data quality. With Avo, you can design exactly how your events and properties should look, before they are implemented and sent to RudderStack. Avo enables developers to get detailed instructions on how to implement Rudderstack events and tools to validate that the implementation is according to spec.

You need tools to help make that good communication happen. One of the best ways to collaborate on your tracking plan and make sure everyone is up to date on it is to use a tool like Avo. Avo helps you seamlessly share your data best practices, events, and properties with your team by creating a single source of data truth. With it, your team can look forward to more consistent tracking of manageable volumes of data and an easier route to making better product decisions.

When you consolidate feedback into a single source of truth it increases implementation and testing efficiency by creating a single environment (e.g., a shared doc or an easy-to-use tool like Avo 🙌) in which you can surface questions. Not only is it easier to have the relevant context then and there with descriptions, but your data team can be pulled in to answer any questions that might come up. When your data includes all relevant information that’s accessible to all stakeholders at any time, you can expect to see rapid turnaround on required changes and track any conversations about the particular changes made and the conversation about those changes.

We created Avo for makers who were tired of spending more time managing their data than building their products. Avo works with your self-serve analytics tools to offer a guided collaboration layer for Product Managers, Data Practitioners and Engineers. Check out our latest release and get instant feedback on your tracking plan: https://www.avo.app/blog/launching-now-error-proof-your-analytics-with-avo-for-pms

Here at Avo we have a couple of open source libraries for mobile. We have part of one of our main products distributed as a library, the Avo Inspector SDK, and we have our mobile debugger.