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.
I'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 NumPy. It has been mentiond 200 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.
Plausible is a privacy-focused website analytics tool that provides simple, actionable insights into website traffic and visitor behavior. It prioritizes data privacy by offering transparent analytics without cookies, tracking scripts, or personal data collection. - Source: dev.to / 2 months ago
Perfect for companies running under tight EU privacy regulations. Find more: Plausible analytics. - Source: dev.to / 2 months ago
In this interview, Marko Saric shared his thoughts on privacy and running a bootstrapped SaaS business. Plausible integration is already available in Open SaaS as a privacy-friendly alternative to Google Analytics. We hope this interview helps you understand the value of such a product, and the nature of running an open source business. - Source: dev.to / 3 months ago
Plausible Analytics (https://plausible.io/) is a lightweight, privacy-focused analytics tool that’s designed to be simple and easy to use. Unlike Google Analytics, Plausible gives you just the metrics you need—without the bloat. - Source: dev.to / 3 months ago
It is not entirely clear who wrote these descriptions. Maybe it was not the vendor. At least their website https://plausible.io/ has a much better wording. > No need for cookie banners or GDPR consent. - Source: Hacker News / 3 months ago
The AI Service will be built using aiohttp (asynchronous Python web server) and integrates PyTorch, Hugging Face Transformers, numpy, pandas, and scikit-learn for financial data analysis. - Source: dev.to / 4 months ago
This library provides functions for working in domain of linear algebra, fourier transform, matrices and arrays. - Source: dev.to / 8 months ago
The Python Library components of Ray could be considered analogous to solutions like numpy, scipy, and pandas (which is most analogous to the Ray Data library specifically). As a framework and distributed computing solution, Ray could be used in place of a tool like Apache Spark or Python Dask. It’s also worthwhile to note that Ray Clusters can be used as a distributed computing solution within Kubernetes, as... - Source: dev.to / 8 months ago
It's compatible with a wide range of data libraries, including Pandas, NumPy, and Altair. Streamlit integrates with all the latest tools in generative AI, such as any LLM, vector database, or various AI frameworks like LangChain, LlamaIndex, or Weights & Biases. Streamlit’s chat elements make it especially easy to interact with AI so you can build chatbots that “talk to your data.”. - Source: dev.to / 9 months ago
The OpenCV image is a regular NumPy array. You can see it shape:. - Source: dev.to / 9 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)
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Matomo - Matomo is an open-source web analytics platform
OpenCV - OpenCV is the world's biggest computer vision library