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 MJML. It has been mentiond 190 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.
Anyway, I stumbled upon a tool called MJML that could be used to implement this feature. - Source: dev.to / 4 days ago
We’ll leverage Novu’s code-first workflow (Echo) approach in creating notification workflows within our codebase. Novu empowers you with the ability to integrate email, SMS, and chat template and content generators, such as React Email, and MJML into your app via code. - Source: dev.to / about 2 months ago
What an excellent resource! (And yes Outlook is a pain!) We've tried building email templates for notifications for our apps where I work, and it has typically been a pain. We have since swapped to using mjml (https://mjml.io/) to build the templates, and it's working wonders. The output seems the be the most compatible with all different devices that we've tested on. The other tool we enjoy using is Litmus... - Source: Hacker News / about 2 months ago
I am using MJML and it’s relatively easy to build your described layout with snippets from the docs. https://mjml.io/. - Source: Hacker News / 4 months ago
Last time I had to deal with emails, I've used https://mjml.io/ and was very happy with it. You can version the templates, compile them as part of your build pipeline and it seems to do produce very _adequate_ HTML full of tables that looks good on all clients that we tested. - Source: Hacker News / 11 months ago
Shout out to Plausible for open-source, dead-simple, Saas-or-self-hosted analytics. https://plausible.io. - Source: Hacker News / 10 days ago
# Function to get Plausible Analytics timeseries data Def get_plausible_timeseries_data(): # Calculate the date range for the last 90 days date_to = datetime.today().strftime('%Y-%m-%d') date_from = (datetime.today() - timedelta(days=90)).strftime('%Y-%m-%d') # Setting the metrics we want to look at metrics='visitors,pageviews' # Actually pulling the data we want url =... - Source: dev.to / about 1 month ago
I think a single Google Analytics alternative is pretty hard to pick considering that GA can be used to very much varying extents. For simple and "detailed enough" insights, I enjoyed using Plausible (https://plausible.io/) in the past. For more in depth analytics that give you a detailed view into your own product, PostHog.com seems to be by far the best and most popular option out there. - Source: Hacker News / 2 months ago
I could do the same exercise with Google Analytics and Google Tag Manager, but luckily I don't need to, since Plausible already did. A piece of advice, rip out Google Analytics and use Plausible instead. It first of all doesn't destroy your website, and secondly it doesn't violate the GDPR - So you can embed it on your site without having to warn your visitors about that they're being spied on by Google. - Source: dev.to / 2 months ago
Also, currently we are using https://plausible.io/ for analytics. No other bugs. - Source: Hacker News / 2 months ago
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