
Trackingplan
Plausible.io
Fathom Analytics
66Analytics
Simple Analytics
ObservePoint
Canecto
TrackingCoder
Django
Ruby on Rails
Laravel
Flask
ASP.NET
Node.js
ExpressJS
CodeIgniter
Trackingplan is a fully automated data QA and observability solution created to ensure your data is clean, accurate, and actionable.
Trackingplan
DjangoTrackingplan's answer
The primary audience for Trackingplan includes marketing teams, data analysts, and developers. The platform is designed for these teams to collaborate efficiently.
Trackingplan's answer
Travelperk, Spotahome, ISDIN, Flaticon, Manfred.
Trackingplan's answer
Unlike other SaaS with setups that take between weeks and months or even force you to change how you code your analytics, Trackingplan is installed in minutes, doesnโt require technical skills to set up or use, and will start listening to all the data your sites and apps are sending to your third-party services right after its installation. That is why you can have access to your data in seconds instead of months, and that is also why we support any provider and we seamlessly integrate with your current analytics stack, including the ones that don't have an API or even your in-house analytics systems.
Trackingplan's answer
Trackingplan provides a comprehensive solution that creates a control panel for your digital analytics automatically, eliminating the need for hours of handcrafted work. It offers functionalities covering all stages of data governance. Additionally, it provides early warnings when things change, ensuring that events and properties arrive according to specifications. The platform also aids in quickly solving detected problems from the root cause, ensuring data quality. Moreover, Trackingplanโs fully automated digital analytics QA solution has been designed to ensure the quality of your data at every stage by spotting bugs in your test cases before going into production (and without changing your current tests). That way, you can avoid compromising your data by catching errors before they break your digital analytics.
Based on our record, Django seems to be more popular. It has been mentiond 16 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Use of settings.py as a naming convention follows in Django's footsteps, but alternatively, you can save it to .env and integrate use of python-dotenv to more closely mirror Node. - Source: dev.to / 8 months ago
Let's dive into a quick implementation of this using AWS and Django. We will be using a couple of ideas from the AWS Official Blog. - Source: dev.to / almost 2 years ago
Django is a high-level Python web framework. It is an Model-View-Template(MVT)-based, open-source web application development framework. It was released in 2005. It comes with batteries included. Some popular websites using Django are Instagram, Mozilla, Disqus, Bitbucket, Nextdoor and Clubhouse. - Source: dev.to / almost 4 years ago
This seems like a job for Django. MDN offers a really good tutorial here. To be honest, it would be a massive undertaking so Iโd recommend going for a prebuilt solution like PowerSchool and the like. Source: almost 4 years ago
The first party docs are second to none. Start out with the official tutorial on https://djangoproject.com . Source: about 4 years ago
Plausible.io - Plausible Analytics is a simple, open-source, lightweight (< 1 KB) and privacy-friendly web analytics alternative to Google Analytics. Made and hosted in the EU, powered by European-owned cloud infrastructure ๐ช๐บ
Ruby on Rails - Ruby on Rails is an open source full-stack web application framework for the Ruby programming...
Fathom Analytics - Simple, trustworthy website analytics (finally)
Laravel - A PHP Framework For Web Artisans
66Analytics - Self-hosted analytics, heatmaps & session recordings.
Flask - a microframework for Python based on Werkzeug, Jinja 2 and good intentions.