Piwik

  •        4983

Piwik is a real time web analytics software program. It provides you with detailed reports on your website visitors: the search engines and keywords they used, the language they speak, your popular pages… and so much more. Piwik aims to be an open source alternative to Google Analytics.

http://piwik.org/

Tags
Implementation
License
Platform

   




Related Projects

Open Web Analytics - Analytics used by Wikimedia


Open Web Analytics is open source web analytics software that you can use to track and analyze how people use your web sites and applications. OWA provides web site owners and developers with easy ways to add web analytics to their sites using simple Javascript, PHP, or REST based APIs. OWA also comes with built-in support for tracking web sites made with popular content management frameworks such as WordPress and MediaWiki.

Rutilus - Analytics for Websites


Rutilus is a free, open-source analytics application. It aims to provide a simple to use but customizable way to analyze visitor behavior on websites. With customization, it allows each visitor to be uniquely identified, and their browsing habits learned, giving it powerful features that go beyond popular existing analytics tools.

piwik


Liberating Web Analytics. Star us on Github? +1. Piwik is the leading open alternative to Google Analytics that gives you full control over your data. Piwik lets you easily collect data from websites, apps & the IoT and visualise this data and extract insights. Privacy is built-in. We love Pull Requests!

Crawltrack - Tracks the visits of Crawler


CrawlTrack is a web analytics tool. It could track the visitors, referrer, keyword used, country of origin, page views etc. The main advantage of this tool is it could track and record the information of crawler activity. It also blocks the attacks done by hackers.

Awstats - Advanced web, streaming, ftp and mail server statistics


AWStats is a powerful tool that generates advanced web, streaming, ftp or mail server statistics graphically. It can analyze log files from all major server tools like Apache log files, WebStar, IIS and a lot of other web, proxy, wap, streaming servers, mail servers and some ftp servers. This log analyzer works as a CGI or from command line and shows you all possible information your log contains, in few graphical web pages.


Webalizer - fast web server log file analysis


The Webalizer is a fast web server log file analysis program. It produces highly detailed, easily configurable usage reports in HTML format, for viewing with a standard web browser. It handles standard Common logfile format (CLF) server logs, several variations of the NCSA Combined logfile format, wu-ftpd/proftpd xferlog (FTP) format logs, Squid proxy server native format, and W3C Extended log formats.

Indihiang - IIS and Apache log analyzing tool


Indihiang Project is a web log analyzing tool. This tool analyzes IIS and Apache Web logs and generates real time reports. It has Web Log Viewer and analyzer. It is capable to analyze the trend from the logs. This tool also integrate with windows Explorer so you can attach a log file in to indihiang tool via context menu.

Countly - Web and Mobile Analytics


Countly is an innovative, real-time, open source mobile & web analytics, push notifications and crash reporting platform powering nearly 3000 mobile applications. It collects data from mobile phones, tablets, Apple Watch and other internet-connected devices, and visualizes this information to analyze mobile application usage and end-user behavior.

fair-analytics - 📊 An analytics server that doesn't undermine user's privacy


Google Analytics is the de-facto standard in the web and mobile analytics service world.Inspired by an interesting article from @staltz, and from the awesome work done by the micro-analytics team, I decided to start working on a Google Analytics alternative.

Autotrack - Automatic and enhanced Google Analytics tracking for common user interactions on the web


The default JavaScript tracking snippet for Google Analytics runs when a web page is first loaded and sends a pageview hit to Google Analytics. If you want to know about more than just pageviews (e.g. where the user clicked, how far they scroll, did they see certain elements, etc.), you have to write code to capture that information yourself.Since most website owners care about a lot of the same types of user interactions, web developers end up writing the same code over and over again for every new site they build.

SAHM


SAHM is the acronym for Simple Analytics HttpModule. It's my implementation of an httpmodule injecting web analytics code. Add the assembly in your asp.net Add a few lines in the main web.config file that's it !

ember-metrics - Send data to multiple analytics integrations without re-implementing new API


This addon adds a simple metrics service to your app that makes it simple to send data to multiple analytics services without having to implement a new API each time. Writing your own adapters for currently unsupported analytics services is easy too. If you'd like to then share it with the world, submit a pull request and we'll add it to the bundled adapters.

iFinity Google Analytics for DotNetNuke


The iFinity Google Analytics module is a simple way to implement Google Analytics tracking for your DotNetNuke website, but also contains advanced features.

appmetrics


A small (803 bytes gzipped) library for measuring things in your web app, annotating the DevTools timeline, and reporting the results to Google Analytics. If you chose to send metrics to Google Analytics, values will show up its UI. See below.

Piwik for Microsoft Silverlight Analytics Framework


Piwik for Micorsoft Silverlight Analytics adds Piwik support to the MSAF

jquery-scrolldepth - Google Analytics plugin to track visitor scroll depth


Scroll Depth is a Google Analytics plugin that tracks how far users are scrolling. The plugin provides native support for Universal Analytics, Classic Google Analytics, and Google Tag Manager. It can also be used with any analytics service that supports events. Bug reports and code contributions are welcome. Please see contributing.md.

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


Most of the applications we're working on are using some sort of tracking/analytics service, Google Analytics comes first but its likely that more are added as the project grows. Normally you'd go ahead and add some partials to your application that will render out the needed tracking codes. As time passes by you'll find yourself with lots of tracking snippets, that will clutter your codebase :) When just looking at Analytics there are solutions like rack-google-analytics but they just soley tackle the existence of one service. This will add Google Analytics as a tracking handler.

Agile_Data_Code_2 - Code for Agile Data Science 2.0, O'Reilly 2017, Second Edition


Like my work? I am Principal Consultant at Data Syndrome, a consultancy offering assistance and training with building full-stack analytics products, applications and systems. Find us on the web at datasyndrome.com. There is now a video course using code from chapter 8, Realtime Predictive Analytics with Kafka, PySpark, Spark MLlib and Spark Streaming. Check it out now at datasyndrome.com/video.