Modern, privacy-friendly, and detailed web analytics that works without cookies or JS.
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Updated
Jul 6, 2024 - Python
Modern, privacy-friendly, and detailed web analytics that works without cookies or JS.
Automates the collection, transformation, and presentation of web analytics data from Google Analytics 4 and Google Search Console into Google Sheets for streamlined reporting and analysis.
Ballcone is a fast and lightweight server-side Web analytics solution.
a recon webapp built with python's Flask designed to gather data about currently used large-scale web attacks and optionally attempt to stall bots.
Add Matomo Web Analytics JavaScript tracking code to Datasette
Retentioneering: product analytics, data-driven CJM optimization, marketing analytics, web analytics, transaction analytics, graph visualization, process mining, and behavioral segmentation in Python. Predictive analytics over clickstream, AB tests, machine learning, and Markov Chain simulations.
Django application to proxy requests and send server-side events to Plausible Analytics.
The AutoGPT Google Analytics Plugin is a software tool that allows you to connect Google Analytics to Auto-GPT.
A modern-style implementation of Baidu Analytics (Tongji) in Python.
The GDX Analytics AWS Lambda for generating embed dashboard URLs.
An AWS Serverless application. This deploys an AWS Serverless Application and Lambda that queries and returns wait times for given ServiceBC Offices.
This repo hosts the source code of tncad articles with a private motivation. Those include Sport performance and Web analytics in Python and Scala.
🗃️ A toy analytics system for the web with a focus on user privacy.
Projekt för att kontinuerligt övervaka en webbplats mätbara kvalitetsfaktorer.
Projeto de Web Analytics com extração de dados não estruturados via api do cliente.
A super-fast user agent string parser
Python package to send hits to Google Analytics through its Measurement Protocol API.
A scrapy extension to sync `.scrapy` folder to an S3 bucket
The main aim of the project is to scrap reviews from a website for American cuisine restaurants in NYC. Then from the scrapped reviews, it would extract the context and calculate the accuracy for each context. (Contexts considered are: Whom, When, Where, and Occasion) - 'Whom' denotes, with whom the user went to the restaurant (example: friends,…
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