⚡️ Swetrix is an ultimate, opensource and privacy focused Google Analytics alternative.

❓ Why Swetrix if there is [name any other web analytics service]? Yes, there are indeed a lot of great web analytics utilities on the market. Some provide more features, some provide less.

The point of Swetrix is to become a 'de-facto' tool every website owner will use. As for now, we do provide all (if not more) the features our competitors do. Need to track unique visitors? Easy. Teams support? Email reports? Data exports? Boom, done! Timezones? Browser extensions? Here.

Swetrix is growing every day, a team of greatest developers are working on it. This year there will be a few huge updates like custom extensions marketplace and a few more.

In short, our features include, but not limited to: ⚡️ Super easy to use, simple and fast dashboard. 📦 Track your custom events, with unique and bounce rate metrics included. 🍪 Fully cookieless yet powerful tracking platform. No need to use Cookie / GDPR banners on your website anymore. 📨 Detailed email reports and GDPR data exports. 🫂 Project sharing and teams support. 🗣 Supports many different languages. Dark/light themes too! 💨 Lightweight tracking script (about 3.5 KB), hosted on a CDN. 🔒 2FA support. 🇪🇺 All the data is stored and processed on servers in the European Union. 📖 Fully open source and self-hostable (via Docker) code. Available on Github - https://github.com/Swetrix. 📕 And much more..! Try it yourself and make sure!

Warp 10 is a modular open source platform that collects, stores and analyzes data from sensors. Shaped for the Internet of Things (IoT) with a flexible data model, Warp 10 provides a unique and powerful framework to simplify your processes from data collection to analysis and visualization, with the support of geolocated data in its core model (called Geo Time Series). Warp 10 offers both a time series database (TSDB) and a powerful analysis environment. The two components can be used together or independently. The Warp 10 Analytics Engine is based on a library of more than 1300 functions adapted to time series and on two analysis languages, WarpScript and FLoWS. This environment makes it possible in particular to perform statistics, extraction of characteristics for training models, filtering and cleaning of data, detection of patterns and anomalies, synchronization or even forecasts. The analysis environment can be implemented within a large ecosystem of software components such as Spark, Kafka Streams, Hadoop, Jupyter or Zeppelin. It can also access data stored in many existing solutions, relational or NoSQL databases, search engines and S3 type object storage system. Whatever your business, your data or your processes, Warp 10 fits your needs at any scale.