Plausible.io
Google Analytics
Fathom Analytics
Matomo
Simple Analytics
umami
Mixpanel
PostHog
Matplotlib
Pandas
NumPy
Seaborn
D3.js
Plotly
GnuPlot
Jupyter
Plausible Analytics is not designed to be a clone of Google Analytics. It is meant as a simple-to-use replacement and a privacy-friendly alternative that can help many site owners.
It's quick, simple to use and understand with all the metrics displayed on one page. Doesn't track hundreds of metrics like Google Analytics does
Lightweight script of less than 1 KB so sites load fast. The script is 45 times smaller script than the Google Analytics one
Doesn't use cookies so there's no need to worry about cookie banners
Doesn't track personal data so it's compliant with GDPR out of the box and you don't need to worry about asking for data consent
It's open source with the code available on GitHub so you can even self host exactly the same product free as in beer
Unlike Google Analytics, the cloud product is not free as in beer because the business model is subscriptions rather than selling the data of your visitors. Plausible Analytics is bootstrapped without any external funding so the subscription fees help cover the costs and time spent on development.
Plausible.io MatplotlibI've been using plausible since Sep 2019 and never had any doubts about it. It provides me with everything I need related to visitor stats while keeping privacy in first place.
It doesn't slow down my website loading speed (it's amazing, it's less than 1KB in size!), is not blocked by adblockers since it's not really a tracker tracker, and owners are super cool and they actually respond to every inquiry you could possibly have.
If you're looking for de-googling your stuff, you can start with Plausible :)
I tried several analytics tools prior to Plausible, namely Google Analytics and later on Matomo. I found both to be fairly complicated for my usage which is a personal blog. Complicated in the way I had to install and use them. Plausible's simple to set up approach combined with a very clean and inviting user interface was a breath of fresh air. It's simple and clean enough that it actually makes me want to check and analyse my traffic which is a feeling I never thought I'd have having tried alternatives.
It offers clear information about what I really need, without distractions, without advertising and does not slow my site.
Based on our record, Plausible.io should be more popular than Matplotlib. It has been mentiond 215 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.
Also a small tooling aside โ if you're tracking how often skills get used across your team (or just want analytics on your dev blog without the GDPR cookie banner dance), privacy-focused options like Umami or Plausible give you full data ownership and a much lighter footprint than Google Analytics. I migrated two side projects to Umami last year and haven't looked back. - Source: dev.to / about 2 months ago
So this post is about something I've been chewing on for months but finally moved on: ripping Google Analytics out of three side projects and picking a privacy-focused alternative. Specifically, I'll compare Umami, Plausible, and Fathom โ the three I actually evaluated โ and walk through the migration steps that worked for me. - Source: dev.to / about 2 months ago
Plausible is what I recommend when someone wants to set it up and forget about it. It's an EU-based company, the data stays in the EU, and they're very transparent about their infrastructure. - Source: dev.to / 2 months ago
Plausible is also open-source with a self-hosted option, but their cloud-hosted product is where most people land. It's polished, opinionated, and genuinely pleasant to use. - Source: dev.to / 2 months ago
I've been using Umami for this โ it's a self-hosted, privacy-focused analytics tool that doesn't require cookie banners and is fully GDPR-compliant out of the box. Compared to alternatives like Plausible (also excellent, but their hosted plan costs more) or Fathom (hosted-only, pricier), Umami hits a sweet spot of simplicity and zero cost if you self-host. You get clean dashboards showing endpoint usage, response... - Source: dev.to / 2 months 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 / 7 months ago
NetworkX and Matplotlib were used to visualize the graph structure of the agent. - Source: dev.to / 8 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.
Fathom Analytics - Simple, trustworthy website analytics (finally)
NumPy - NumPy is the fundamental package for scientific computing with Python
Matomo - Matomo is an open-source web analytics platform
Seaborn - Seaborn is a Python data visualization library that uses Matplotlib to make statistical graphics.
