pirsch
rupy
pirsch | rupy | |
---|---|---|
41 | 31 | |
871 | 136 | |
5.7% | - | |
9.1 | 1.1 | |
5 days ago | about 1 year ago | |
Go | Java | |
GNU Affero General Public License v3.0 | - |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
pirsch
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Must-Have Features to Look for in a Blogging Platform
Pirsch Analytics (paid)
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Using Analytics on My Website
I was also looking for server-side analytics, created my own, and now it's a product! The idea is that tracking can be done from both, a JS snippet (for easy integration) and an API. Both rely on fingerprinting and almost provide the same set of features. The API just lacks screen resolution. The method is GDPR (and CCPA and whatnot) compliant.
Original article: https://marvinblum.de/blog/server-side-tracking-without-cook...
Product: https://pirsch.io
before this comes up again: Yes, we checked professionally with an external DPO and it was checked by some companies you've probably heard of externally.
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Ask HN: Any good open source alternatives to Google Analytics?
Pirsch analytics is a great one https://github.com/pirsch-analytics/pirsch
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Site analytics for open source project?
Take a look at Pirsch. You can find a demo with real data here.
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Recommend Google Analytics Alternatives
pirsch.io :)
- Show HN: Privacy-Focused, Open-Source Web Analytics
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Ask HN: Side project of more that $2k monthly revenue what's your project?
I'm building Pirsch Analytics [0], a privacy-friendly web analytics tool. I think it took the two of us ~1.5 years to get to $2000 MRR. Currently we're setting just above $4000 MRR.
It started as an experiment for my personal website and I was in the same position as you're right now. We were already working on a Notion like app to take notes, but didn't make any money and probably went into the wrong direction. As my prototype seemed to work quite well, we decided to turn it into a product.
My initial goal was to do server-side analytics without the downsides of parsing access logs, but of course we now also have a "regular" JS snippet integration.
You can learn more about our journey here [1] and on our blog [2]. Let me know if you have any questions!
[0] https://pirsch.io
[1] https://pirsch.io/about-us
[2] https://pirsch.io/blog
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I'm building a new SaaS tool: open source analytics for the web
Not saying you shouldn’t or anything, but Plausible, Pirsch, and Umami are already privacy friendly open-source analytics.
- Flexible A/B Testing on Deno Using the Fresh Framework and Pirsch Analytics
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Ask HN: Any alternatives to Google Analytics that don't require cookies?
Pirsch has been easy and great IME.
[0] https://pirsch.io
rupy
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Considerations for a long-running Raspberry Pi
I have been running a Raspberry 2 cluster for 10 years: http://host.rupy.se
A few weeks back the first SD card to fail got so corrupted it failed to reboot!
My key learning is use oversized cards, because then the bitcycle will wear slower!
I'm going from 32GB to 256/512/1024!
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What Kind of Asynchronous Is Right for You?
How this article does not mention SSE, comet or chunking escapes me.
What does their definition of event-driven really look like in practice.
Nobody has a clue.
Here is the ideal event driven system, it's async-to-async: https://github.com/tinspin/rupy/wiki/Fuse
The example is not working because I had to shut down the services for multiple reasons, but the high level of it is that you use 4 (potentially different) threads to do one request/response middle man transaction.
That way you have _zero_ io-wait or idling. I'm surprised nobody has copied this approach since I invented it 10 years ago. I understand why though you need your entire chain to be async and that means rewriting everything and that is a big risk when it's hard to debug.
But if you succeed you can build something that is 10x perf/watt than all other implementations. Which is going to be important when interest rates go higher and crash our entire industry.
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An unknown Swedish startup’s €3B bid to build a green rival to AWS
The hardware is peaking.
So software is where you can make the difference: http://host.rupy.se
- Sandstorm: Open-source platform for self-hosting web app
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You Want Modules, Not Microservices
I think we're all confused over the definition. Also one might understand what all the proponents are talking about better if they think about this more as a process and not some technological solution:
https://github.com/tinspin/rupy/wiki/Process
All input I have is you want your code to run on many machines, in fact you want it to run the same on all machines you need to deliver and preferably more. Vertically and horizontally at the same time, so your services only call localhost but in many separate places.
This in turn mandates a distributed database. And later you discover it has to be capable of async-to-async = no blocking ever anywhere in the whole solution.
The way I do this is I hot-deploy my applications async. to all servers in the cluster, this is what a cluster node looks like in practice (the name next to Host: is the node): http://host.rupy.se if you click "api & metrics" you'll see the services.
With this not only do you get scalability, but also redundancy and development is maintained at live coding levels.
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I wish my web server were in the corner of my room
I have hosted my own web server both physically and codevise since 2014.
It's on a Raspberry 2 cluster:
http://host.rupy.se
Since 2016 i have my own database also coded from scratch:
http://root.rupy.se
We need to implement HTTP/1.1 with less bloat, a C non-blocking web server that can share memory between threads is probably the most interesting project for humans right now, is anyone working on that?
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Ask HN: Free and open source distributed database written in C++ or C
I have one in Java: https://github.com/tinspin/rupy
Here is the 2000 lines of code of the entire database: http://root.rupy.se/code?path=/Root.java
And here you can try it out: http://root.rupy.se
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Dokku – Free Heroku Alternative
The smallest PaaS you have ever seen is one order of magnitude larger than mine: https://github.com/tinspin/rupy
And I bet you the same goes for performance, if not two!
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Server-Sent Events: the alternative to WebSockets you should be using
The data is here: http://fuse.rupy.se/about.html
Under Performance. Per watt the fuse/rupy platform completely crushes all competition because of 2 reasons:
- Event driven protocol design, averages at about 4 messages/player/second (means you cannot do spraying or headshots f.ex. which is another feature in my game design opinion).
- Java's memory model with atomic concurrency which needs a VM and GC (C++ copied that memory model in C++11, but it failed completely because they lack both VM and GC, but that model is still to this day the one C++ uses), you can read more about this here: https://github.com/tinspin/rupy/wiki
You can argue those points are bad arguments, but if you look at performance per watt with some consideration for developer friendlyness, I'm pretty sure in 100 years we will still be coding minimalist JavaSE on the server and vanilla C (compiled with C++ compiler) on the client.
- Jodd – The Unbearable Lightness of Java
What are some alternatives?
Plausible Analytics - Simple, open source, lightweight (< 1 KB) and privacy-friendly web analytics alternative to Google Analytics.
huproxy
Matomo - Empowering People Ethically with the leading open source alternative to Google Analytics that gives you full control over your data. Matomo lets you easily collect data from websites & apps and visualise this data and extract insights. Privacy is built-in. Liberating Web Analytics. Star us on Github? +1. And we love Pull Requests!
cmdg - Command line Gmail client
nomad-driver-containerd - Nomad task driver for launching containers using containerd.
Nullboard - Nullboard is a minimalist kanban board, focused on compactness and readability.
Fathom Analytics - Fathom Lite. Simple, privacy-focused website analytics. Built with Golang & Preact.
cakephp-swagger-bake - Automatically generate OpenAPI, Swagger, and Redoc documentation from your existing CakePHP code.
Presto - The official home of the Presto distributed SQL query engine for big data
dbmate - :rocket: A lightweight, framework-agnostic database migration tool.
Umami - Umami is a simple, fast, privacy-focused alternative to Google Analytics.
Aerospike - Aerospike Database Server – flash-optimized, in-memory, nosql database