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awesome-analytics-merge: block 3

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@ -118,11 +118,6 @@ _Web Analytics_
- [GoatCounter](https://www.goatcounter.com) - Easy web statistics. No tracking of personal data. ([Source Code](https://github.com/zgoat/goatcounter)) `EUPL-1.2` `Go`
- [Hastic](https://hastic.io) - Hackable time series pattern recognition tool with UI for Grafana. ([Source Code](https://github.com/hastic)) `Apache-2.0` `Python/Nodejs`
- [Kindmetrics](https://kindmetrics.io/) - Clean privacy-focused website analytics. ([Source Code](https://github.com/kindmetrics/kindmetrics)) `MIT` `Crystal`
- [KISSS](https://kis3.dev) - Very minimalistic (KISS) website statistics tool. ([Source Code](https://github.com/kis3/kis3)) `MIT` `Go`
- [Koko Analytics](https://www.kokoanalytics.com/) - Privacy-friendly and open source analytics plugin for WordPress. ([Source Code](https://github.com/ibericode/koko-analytics/)) `GPL-3.0` `PHP`
- [Matomo](https://matomo.org/) - Leading open-source analytics platform that gives you more than just powerful analytics, formerly known as Piwik. ([Source Code](https://github.com/matomo-org/)) `GPL-3.0` `PHP`
- [Offen](https://www.offen.dev/) - Offen is a fair and open web analytics tool. Gain insights while your users have full access to their data. Lightweight, self hosted and free. ([Demo](https://www.offen.dev/try-demo/), [Source Code](https://github.com/offen/offen)) `Apache-2.0` `Go/Docker`
- [Open Web Analytics](http://www.openwebanalytics.com/) - Google Analytics and Matomo alternative. ([Source Code](https://github.com/padams/Open-Web-Analytics)) `GPL-2.0` `PHP`
- [Plausible](https://plausible.io/) - Simple and privacy-friendly alternative to Google Analytics. ([Source Code](https://github.com/plausible/analytics/)) `MIT` `Elixir`
- [PostHog](https://posthog.com) - Open source product analytics, a Mixpanel/Amplitude/Heap alternative. ([Source Code](https://github.com/posthog/posthog)) `MIT` `Python`
- [Rakam](https://rakam.io/) - Custom analytics platform that allows you to create your own analytics services. Integrate with any data source (web, mobile, IoT etc.), analyze data with SQL and create dashboards. ([Source Code](https://github.com/rakam-io/rakam)) `Apache-2.0` `Java`