Swetrix
Google Analytics
Matomo
Counter
Plausible.io
Simple Analytics
Statify
Fathom Analytics
Matplotlib
Pandas
NumPy
Seaborn
D3.js
Plotly
GnuPlot
Jupyter
โก๏ธ Swetrix is an ultimate, opensource and privacy focused Google Analytics alternative.
โ 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: โก๏ธ Super easy to use, simple and fast dashboard. ๐ฆ Track your custom events, with unique and bounce rate metrics included. ๐ช Fully cookieless yet powerful tracking platform. No need to use Cookie / GDPR banners on your website anymore. ๐จ Detailed email reports and GDPR data exports. ๐ซ Project sharing and teams support. ๐ฃ Supports many different languages. Dark/light themes too! ๐จ Lightweight tracking script (about 3.5 KB), hosted on a CDN. ๐ 2FA support. ๐ช๐บ All the data is stored and processed on servers in the European Union. ๐ Fully open source and self-hostable (via Docker) code. Available on Github - https://github.com/Swetrix. ๐ And much more..! Try it yourself and make sure!
Swetrix MatplotlibSwetrix is ideal for small to medium-sized businesses, web developers, and privacy-conscious website owners who need insights into their web traffic while ensuring compliance with data protection regulations like GDPR.
Based on our record, Matplotlib should be more popular than Swetrix. It has been mentiond 114 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
I have been looking for a while for the best platform for self-hosting my own web analytics and recently I found Swetrix. Source: over 2 years ago
Take a look at https://swetrix.com, it's a privacy focused and opensource analytics platform, it's cookieless and hosted in the EU. Also here's a comparison against Google Analytics if you're curious:. - Source: Hacker News / almost 3 years ago
Hi. Me and my friends are building an open-source and privacy focused web analytics tool for over 2 years already. It's insanely hard for us to properly acquire customers although we believe that we're offering much more functionality than the competition. Source: about 3 years ago
Swetrix, it's opensource, gdpr friendly and besides regular web analytics has some cool features like performance monitoring. Source: over 3 years ago
Happy cake day. Yeah, nowadays there are so many analytics variants out there: Swetrix, Plausible, offen, count.ly any many more. Source: over 3 years ago
In February, an AI agent named MJ Rathbun submitted a pull request to matplotlib โ the Python plotting library used by half the scientific computing world. Scott Shambaugh, a volunteer maintainer, rejected it. Standard code review. Nothing unusual. - Source: dev.to / 4 months ago
Numbers are useful, but sometimes itโs easier to spot patterns when you can actually see your data. Pandas works seamlessly with Matplotlib, a popular Python library for creating visualizations. Together, they make it easy to turn raw numbers into clear charts. - Source: dev.to / 7 months ago
We are storing the results in JSON files, which we combine, analyze and visualize using matplotlib in Python. Here's the structure of a benchmark result file:. - Source: dev.to / 8 months ago
NetworkX and Matplotlib were used to visualize the graph structure of the agent. - Source: dev.to / 9 months ago
The book introduces the core libraries essential for working with data in Python: particularly IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and related packages Familiarity with Python as a language is assumed; if you need a quick introduction to the language itself, see the free companion project, Aโฆ. - Source: dev.to / 10 months ago
Google Analytics - Improve your website to increase conversions, improve the user experience, and make more money using Google Analytics. Measure, understand and quantify engagement on your site with customized and in-depth reports.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Matomo - Matomo is an open-source web analytics platform
NumPy - NumPy is the fundamental package for scientific computing with Python
Counter - Counting characters and words in the text layer.
Seaborn - Seaborn is a Python data visualization library that uses Matplotlib to make statistical graphics.