freshlytics

> hash(daily_salt + website_domain + ip_address + user_agent) That's a pretty interesting technique! I built a privacy friendly analytics project https://github.com/sheshbabu/freshlytics and I've been wondering how to correctly count unique visitors to a website. I don't store cookies or any PII data at all so by definition, it's hard to distinguish between two different visits - are they from same person or different people? An alternative approach is used by Simple Analytics - https://docs.simpleanalytics.com/uniques where they use referrer header to derive unique visits. They mention that they don't use IP addresses as they're considered fingerprinting. But it looks like a hash function (whose salt gets rotated daily) strikes a good balance between fingerprinting while maintaining user privacy. Any downsides to this approach?

All open source: https://count.ly/ https://github.com/vesparny/fair-analytics https://goaccess.io/ https://www.kokoanalytics.com/ https://github.com/sheshbabu/freshlytics https://github.com/milesmcc/shynet

You can look at https://github.com/sheshbabu/freshlytics for database migrations :)

I really like the look of this. And I really like the response here regarding "blockers" [0]. Is there any documented way to let users opt-out sans ublock:o (or other)? Or configure it to respect "Do Not Track"? [0] https://github.com/sheshbabu/freshlytics/issues/12

Freshlytics - https://github.com/sheshbabu/freshlytics * Cookies are not used * Personally identifiable information (PII) is not collected * See the pageview in different dimensions like page urls, referrers, browsers etc * Supports multiple projects * Supports RBAC Screenshots - https://github.com/sheshbabu/freshlytics/blob/master/docs/sc...

Freshlytics - self-hosted open-source privacy-friendly analytics software - https://github.com/sheshbabu/freshlytics react-frappe-charts - lightweight (~17KB) React charting library with TypeScript definitions and Storybook playground - https://github.com/sheshbabu/react-frappe-charts airhealth - mobile webapp to check air quality - https://airhealth.now.sh / https://github.com/sheshbabu/airhealth

I created something similar to what you described but using React - https://github.com/sheshbabu/starterkit Real app built using this - https://github.com/sheshbabu/freshlytics

I recently launched freshlytics - selfhosted privacy respecting analytics. Let me know if you’re interested in onboarding it into Cloudron :) https://github.com/sheshbabu/freshlytics

Hello everyone, Freshlytics is a self-hosted open-source privacy-friendly analytics software. You can use it to learn more about your users in terms of visited urls, referrers and browsers used without invading the users privacy. It doesn't use cookies and doesn't collect PII. It doesn't even store event level data - only aggregate data for the whole day organised by different dimensions. That is, after an event is ingested by the system it's grouped with all other events sent by other visitors - so you can't view the events just for a visitor or a visitor's browser etc. While this limits what metrics can be collected, I felt that there might be a good portion of websites on the internet who don't need these invasive metrics. It's built using Typescript (React/Express) and uses PipelineDB for storage. All the reports are pre-defined (not

I built a similar privacy focussed analytics inspired by Fathom: https://github.com/sheshbabu/freshlytics Privacy * Cookies are not used * Personally identifiable information (PII) is not collected Dashboard * Switch between multiple projects * Slice the data within a date range * See the pageview in different dimensions like page urls, referrers, browsers etc Tracking * Currently focuses on website pageview tracking * Tracks visited page urls, referrers, browsers and browser versions Projects * Supports multiple projects * Different projects can have different reporting timezones Users * Users can either be Admin or normal users * Admins can create/edit/delete projects and other users Written using TypeScript, React, Postgres (PipelineDB), Express. Here are some screenshots: https://github.com/sheshbabu/freshlytics/blob/master/docs/sc...

I built Freshlytics using PipelineDB (Postgres extension) - https://github.com/sheshbabu/freshlytics It uses continuous aggregations so you don't need to manually run rollups every few mins/hours. You don't need to store individual events so it's better for user's privacy. Here's the link to the sql - https://github.com/sheshbabu/freshlytics/blob/master/src/ser...

If your reports are predefined - summarised and no adhoc reporting needed, you can look into the continuous view feature of PipelineDB - http://docs.pipelinedb.com/continuous-views.html > As soon as a stream row has been read by the continuous views that must read it, it is discarded. Raw, granular data is not stored anywhere. The only data that is persisted for a continuous view is whatever is returned by running a SELECT * FROM that_view. Thus you can think of a continuous view as a very high-throughput, realtime materialized view. I use PipelineDB continuous views in Freshlytics - https://github.com/sheshbabu/freshlytics/blob/master/src/ser... TimescaleDB also has something called "Continuous Aggregates" - https://docs.timescale.com/latest/using-timescaledb/continuo... but I haven't looked into it much.

Couple of ones I can think of: Fathom: https://github.com/usefathom/fathom Goatcounter: https://github.com/zgoat/goatcounter Freshlytics: https://github.com/sheshbabu/freshlytics There's also a non-oss but privacy focussed analytics - http://simpleanalytics.com Disclaimer: I'm the creator of Freshlytics